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Job Title: AI-Enabled Global Study Data Leader Location: Morristown, NJ Cambridge, MA About the Job Are you ready to shape the future of medicine? The race is on to speed up drug discovery and development to find answers for patients and their families. Your skills could be critical in helping our teams accelerate progress. We are seeking a highly motivated and experienced AI-Enabled Global Study Data Leader to support the end-to-end data management digital transformation in our clinical studies. This role will be pivotal in driving innovation and efficiency throughout the entire value chain of our clinical development organization. The ideal candidate will possess a deep understanding of current digital data technologies and innovations as well as direct experience implementing these related roadmaps, including experience in methodology to assess business case, go-no go stage gates, and return of investment (ROI). The incumbent must have strong leadership and change management skills, and a passion for delivering transformative approaches for our patients. The AI-Enabled Global Study Data Leader: Influences and leads critical elements of the clinical data management digital transformation of clinical operations. This person will serve as a catalyst for digital change within the organization and offer expert perspectives on potential solutions and changes for the ways of working. Develop a transformation plan to solve common challenges or develop / propose digital solutions for data management. Contribute to Sanofi's commitment to accelerate the development of new drugs and medical devices for all patients through our clinical trials. We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people's lives. We're also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? Main Responsibilities: Identify new data management digital AI opportunities, in close collaboration with digital. Be the Data Management leader in the cross-functional study team and oversee study processes at a global level, including but not limited to preparing protocols, data collection methods, risk-based data management processes and timelines. Explore new ways of data collection (eSource access, patient devices, etc.) Works with cross-functional teams, including medical leads, global study lead, statisticians, clinical supply managers, regulatory affairs specialists, etc. Ensures compliance with relevant regulations, such as Good Clinical Practice (GCP), International Council for Harmonization of Technical Requirements for Pharmaceuticals for Human Use (ICH), internal SOPs. Propose update and improvements to the processes as relevant. Pilot and implement any available digital / AI solutions to improve study efficiency and quality of the data collection. Maintains current awareness of industry trends and progress, assesses opportunities for innovative transformative digital solutions, preparing business cases and proposals to drive value for the business. Drives the implementation of innovative data management methodologies and technologies. Helps foster a culture of continuous improvement and learning. Displays strong leadership and influence skills in overseeing the efforts in setting, conducting and closing clinical studies, ensuring everything runs smoothly and efficiently. Defines and monitors the progress of the studies and innovative solutions, including identifying risks and issues, conducting corrective measures and oversight timelines, Implement new and innovative methods of communications and updates. Lead the selection, implementation, and oversight of new vendors to support AI solutions. About You Education: Bachelor's degree required, Master preferred. Preferably in a life sciences or health information management field. Clinical Data Management in the pharmaceutical/healthcare industry a significant plus. Experience: 6+ years' experience within clinical data management and/or clinical data science with proven background in directly assessing and implementing digital technologies as they relate to clinical development. Deep knowledge in clinical data science, digital tools, Artificial Intelligence and Generative AI tools applicable to Data Management. Ability to manage cross-functional projects using intermediate project, risk, and vendor management skills to deliver results aligned with compliance and quality standards. Why Choose us: Bring the miracles of science to life alongside a supportive, future-focused team. Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally. Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact. Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave. Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. #GD-SA #LI-SA #LI-Onsite #vhd Pursue progress, discover extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people. At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! US and Puerto Rico Residents Only Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally inclusive and diverse workforce. All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; natural or protective hairstyles; marital, domestic partnership or civil union status; sex, gender, gender identity or expression; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law. North America Applicants Only The salary range for this position is: $147,000.00 - $212,333.33 All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs. Additional benefits information can be found through the LINK.

Job Description Cloud Data & API Engineer - Chicago, IL ADM Investor Services, Inc. This is an exempt level position. Position Summary: We are seeking a Cloud Data & API Engineer with deep experience in Microsoft Azure, .NET, modern data platforms, and a growing knowledge of AI/ML technologies. This role blends cloud-native backend development, data engineering, and AI integration, supporting scalable, intelligent applications. You'll help bridge traditional systems like SQL Server with cloud-native services including Databricks, Azure Data Lake, Kafka, and OpenAI services. Job Responsibilities: Design and develop RESTful and GraphQL APIs using .NET (C#) on Azure App Services, Functions, or containers. Build scalable data pipelines using Databricks (PySpark, Delta Lake), Azure Data Factory, and Azure Data Lake Storage. Develop and support event-driven architectures using Kafka and Azure Event Hubs. Integrate data across sources including SQL Server, data warehouses, and streaming platforms. Build and deploy AI-enhanced services using Azure OpenAI, LLM frameworks (e.g., LangChain, Semantic Kernel), or Databricks ML. Collaborate with engineering, analytics, and DevOps teams to deliver intelligent, production-grade solutions. Ensure high performance, security, and reliability across cloud-based API and data systems. Job Requirements: 4+ years in backend or data engineering roles. Strong experience with .NET Core / C# and API development (REST, GraphQL). Deep knowledge of Azure cloud services, including: Azure Data Lake, Data Factory, Synapse, App Services, Functions, Event Hubs Hands-on experience with Databricks and Apache Spark (PySpark or Scala). Proficiency with SQL Server for data modeling, querying, and optimization. Familiarity with Apache Kafka or Azure equivalents. Experience integrating or experimenting with AI/ML solutions such as Azure OpenAI, MLflow, or prompt engineering. Understanding of CI/CD, Docker, and infrastructure-as-code (Terraform/Bicep). Awareness of security best practices including OAuth2, managed identity, and role-based access control (RBAC). Preferred Skills: Experience with LLM orchestration frameworks (e.g., LangChain, Semantic Kernel, Prompt Flow). Experience with Azure API Management, Logic Apps, or Service Bus. Familiarity with dbt, Airflow, or similar orchestration tools. Awareness of Responsible AI practices and AI governance in enterprise environments. Exposure to integrating on-premises systems with cloud environments. Why Join Us: Help shape a forward-looking Azure + Databricks + AI platform. Work with a modern, dynamic tech stack solving real business problems. Join a collaborative team that values innovation, learning, and delivering impact. Excited about this role but don't think you meet every requirement listed? We encourage you to apply anyway. You may be just the right candidate for this role or another one of our openings. ADM requires the successful completion of a pre-employment background check. REF:99781BR

Job Summary Invitation Homes is nation's premier home leasing company, pioneering a new industry supported by advanced and robust technology solutions to enhance the resident experience. We are looking for innovative, dynamic individuals who are passionate about building business focused technology solutions using best of the breed tech stacks and take the platform to the next level. The Data Architect will play a key role in designing, implementing, and maintaining robust data infrastructure to support our organization's data-driven initiatives. Candidate should have a strong background in data engineering, with expertise in data modeling, data processing, python programming, and database SQL/PLSQLs scripting encompassing procedures, functions, dynamic programming etc. This role is crucial in shaping the architecture of our data platform solutions by building and optimizing data models, and standardizing and implementing efficient ETL processes. Furthermore, active involvement in database management, ensuring data quality and governance, and harnessing programming skills for automation and scripting tasks are integral components of this position. If you are motivated, passionate, a quick learner, and have outstanding data engineering skills, this role is waiting for you! Invitation Homes does not offer employment-based visa sponsorship for this role at this time. Essential Job Duties and Responsibilities Data Modeling: Develop and implement comprehensive and scalable data models that align with business requirements and objectives. Collaborate closely with data architects and Analysts/Information engineers to understand data needs, ensuring that data models are optimized for both performance and analytical purposes. Regularly review and enhance existing data models to accommodate evolving business requirements and ensure long-term sustainability. ETL Development: Design, develop, and deploy robust ETL processes to extract, transform, and load data from diverse sources into data lake platform. Work closely with business stakeholders to gather and understand data integration requirements, ensuring ETL workflows meet the organization's data processing needs. Monitor and troubleshoot ETL processes, addressing issues promptly to maintain data integrity and minimize downtime. Manage and configure data processing workflows orchestration process using enterprise scheduler like AWS Airflow. Framework, Automation & Standardization: Leverage Python and SQL to construct framework for source data extraction, transformation, and loading tasks, as well as crafting custom scripts using PowerShell and Unix shell to facilitate the creation of end-to-end automated pipelines. Build reusable scripts to automate code deployment process (CI/CD) across environments. Develop scripts to manage and migrate infrastructure as code (IaaC) using Python/Terrform or AWS CloudFormation Implement data governance policies and practices to ensure the accuracy, consistency, and security of organizational data. Actively participate in data quality improvement initiatives and provide guidance on best practices. Implement solution to automate code reviews based on organization best practices and standardization guidelines. Education and/or Experience Bachelor's Degree in Computer Sciences or equivalent work experience 7+ years of professional development experience working in enterprise-scale data warehousing, data engineering and data lake solutions. Minium of 3+ years of experience in Data Modeling i.e. Dimensional Modeling, Normalized models, OBTs etc. Must have knowledge of one or more of ETL/ELT tools like AWS Glue, DBT, SSIS, Apache Spark, Informatica. 3 + years of hands-on experience of working on modern columnar data platforms like Snowflake, AWS Redshift, Azure Synapse. Extensive experience working with SQL / PLSQL scripting, dynamic programming & performance tuning. 3+ years of working experience utilizing Python to implement data engineering solutions. Good knowledge on Data pipeline orchestration tools like Airflow, Control-M, AutoSys etc. 3+ years of experience working on cloud platform preferably AWS and related data engineering services like Glue, S3, Lambda, CloudWatch, Parameter Store, MWAA etc. Strong understanding of core infrastructure components (servers, network, storage) Experience with collaboration tools like Git for version control in a team environment Experience working in an agile development environment. Skills/Specialized Knowledge Excellent communication, presentation, and interpersonal skills Ability to thrive under pressure and function effectively in a fast-paced work environment Exhibit strong attention to detail and accuracy. Ability to collaborate and build consensus with others Love of technology; actively seeks continuing education of current and emerging technologies Experience with building analytic solutions applicable to Sales, Finance, Product, Operations, and Marketing organizations in an enterprise Experience managing, measuring, and improving data quality in a data warehouse. Experience working with Salesforce and Yardi in real estate domain highly desirable. Experience in working in large teams using CI/CD and agile methodologies. Other Requirements N/A Physical and Mental Demands This position will spend long hours sitting and using office equipment and computers. The position may also entail light lifting of supplies and materials occasionally, up to and including 20 pounds in addition to reaching, stooping, standing, and walking. This position requires the ability to talk, hear, compare, compute, compile, copy, analyze, coordinate, synthesize, negotiate and communicate. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential job functions. Work Environment Standard office working environment that may be busy and noisy at times. Salary Range The salary range for this position is: $118,800.00 - $205,920.00, plus individuals may be eligible for an annual discretionary bonus. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications, location, and applicable employment laws. Compensation and Benefits To attract and retain top talent, we're pleased to offer competitive compensation and benefits, including: Annual bonus program Health, dental, vision, and life insurance Long-term and short-term disability insurance Generous paid time off plans include vacation accrual, sick time, standard holidays and floating holidays 401(k) with company matching contributions Awesome work environment with casual dress Team events and gatherings (Pre- and Post-Covid) Invitation Homes is an equal opportunity employer committed to fostering a diverse, inclusive and innovative environment with the best associates. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran status or any other factor protected by applicable federal, state or local law. If you have a disability or special need that requires accommodation, please contact us at humanresources@invitationhomes.com. To all recruitment agencies: Invitation Homes does not accept agency resumes. Please do not forward resumes to Invitation Homes employees. Invitation Homes is not responsible for any fees related to unsolicited resumes. #LI-JA1

At Quest Analytics, our mission is to make healthcare more accessible for all Americans. As part of our team, you'll work in an innovative, collaborative, challenging, and flexible environment that supports your personal growth every day. We are looking for a talented and motivated Senior Data Engineer with experience in building scalable infrastructure, implementing automation, and enabling cross-functional teams with reliable and accessible data. The Senior Data Engineer will help modernize and scale our data environment. This person will play a key role in transforming these workflows into automated, cloud-based pipelines using Azure Data Factory, Databricks, and modern data platforms. If you are looking for a high-impact opportunity to shape how data flows across the business, APPLY TODAY! What you'll do: Identify, design, and implement internal process improvements (e.g., automating manual processes, optimizing data delivery, and re-designing infrastructure for scalability). Transform manual SQL/SSMS/stored procedure workflows into automated pipelines using Azure Data Factory. Write clean, reusable, and efficient code in Python (and optionally C# or Scala). Leverage distributed data tools such as Spark and Databricks for large-scale processing. Review project objectives to determine and implement the most suitable technologies. Apply best practice standards for development, build, and deployment automation. Manage day-to-day operations of the data infrastructure and support engineers and analysts with data investigations. Monitor and report on data pipeline tasks, collaborating with teams to resolve issues quickly. Partner with internal teams to analyze current processes and identify efficiency opportunities. Participate in training and mentoring programs as assigned or required. Uphold Quest Analytics values and contribute to a positive company culture. Respond professionally and promptly to client and internal requests. Perform other duties as assigned. What it requires: Bachelor's Degree in Computer Science or equivalent education/experience. 3-5 years of experience with ETL, data operations, and troubleshooting, preferably in Healthcare data. Strong SQL development skills (SSMS, stored procedures, and optimization). Proficiency in Python, C#, or Scala (experience with pandas and NumPy is a plus). Solid understanding of the Azure ecosystem, especially Azure Data Factory and Azure Data Lake Storage (ADLS). Hands-on experience with Azure Data Factory and ADLS. Familiarity with Spark, Databricks, and data modeling techniques. Experience working with both relational databases (e.g., SQL Server) and NoSQL databases (e.g., MongoDB). Self-motivated, strong problem-solver, and thrives in fast-paced environments. Excellent troubleshooting, listening, and analytical skills. Customer-focused mindset with a collaborative, team-oriented approach. We are not currently engaging with outside agencies on this role. Visa sponsorship is not available at this time. What you'll appreciate: Workplace flexibility - you choose between remote, hybrid or in-office Company paid employee medical, dental and vision Competitive salary and success sharing bonus Flexible vacation with no cap, plus sick time and holidays An entrepreneurial culture that won't limit you to a job description Being listened to, valued, appreciated -- and having your contributions rewarded Enjoying your work each day with a great group of people Apply TODAY! careers.questanalytics.com About Quest Analytics For more than 20 years, we've been improving provider network management one groundbreaking innovation at a time. 90% of America's health plans use our tools, including the eight largest in the nation. Achieve your personal quest to build a great career here. Visa sponsorship is not available at this time. Preferred work locations are within one of the following states: Alabama, Arizona, Arkansas, Colorado, Connecticut, Delaware, Florida, Georgia, Idaho, Illinois (outside of Chicago proper), Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin, or Wyoming. Quest Analytics provides equal employment opportunities to all people without regard to race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. We are committed to creating and maintaining a workforce environment that is free from any form of discriminations or harassment. Applicants must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence hr@questanalytics.com NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly. We are not currently working with additional outside agencies at this time. Any job posting displayed on websites other than questanalytics.com or jobs.lever.co/questanalytics/ may be out of date, inaccurate and unavailable

The Data Analyst exercises judgment when following general instructions and is responsible for working with minimal instruction to prioritize work and support the development of routine and semi-routine analysis. This role supports business functions by performing data gathering, transformation, and analysis to develop insights of limited to moderate complexity that inform business decisions. Note: This role may come into contact with confidential or sensitive customer information requiring special treatment in accordance with Red Hat policies and applicable privacy laws. Collect, organize, and analyze data to develop routine and semi-routine reports that provide insights into key business trends. Create and update standard dashboards and visualizations to support decision-making processes. Apply basic statistical methods and data manipulation techniques to identify patterns, trends, and insights. Collaborate with stakeholders to clarify data requirements and ensure accuracy in reporting. Communicate findings through written reports and presentations About Red Hat Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Inclusion at Red Hat Red Hat's culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.

Job Description: Building trusted markets - powered by our people. At Cboe Global Markets, we inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world. Cboe interns work with a variety of staff across multiple departments and have the opportunity to put their skills to work in their field of interest, while learning about Exchange technology and operations through our robust Options Institute courses. The three main foundational pillars of our internship program are: develop, educate and network. We want to ensure each of our interns receive a real-world working experience that encourages academic, professional and personal growth. Candidates should be versatile, eager and able to work in a fast-paced, time-sensitive financial and technical environment. Our interns will have the flexibility of working 2 days remotely, and 3 days in office per week at one of our state-of-the-art offices in Chicago, Kansas City, and New York City. To be eligible for this internship, applicants must be enrolled in a university or college program and should not be scheduled to graduate before December of the internship year. Our internship program runs from June to August and you will wrap up your internship with a final presentation and retreat. Visit our student page for more information about our internship program! The Cboe/Hanweck team is hiring a Software Engineer Intern, Data Vantage Cboe/Hanweck is looking for a Software Engineer Intern who is looking for a new challenge in the financial technology services industry. Cboe/Hanweck operates a large-scale data environment with petabytes of market and analytic data and generates real-time data in time-frames from milliseconds to minutes. This is an opportunity to work within a team of people with experience in financial markets, computer and data science, and with a keen interest in discovering new sources of information for financial markets. Your responsibilities and learning objectives will be: Develop and implement quantitative software applications to process and analyze real-time financial market data in a high-performance computing environment Maintain and optimize existing software applications, and recommend and implement improvements Write technical specifications, project plans, and technical documentation; translate business requirements into functional specifications and project plans Regular communication with management and technical colleagues Processing, collecting and analyzing financial market data, including high frequency real-time pricing data and reference data Monitor and improve the quality of analytical data generated from our applications; develop/work with reference data team to add or modify reference data sources Work with product managers and business development team to write documentation, technical specifications, project plans and sales material for our data and applications The ideal candidate has: Must be currently enrolled in a BA/BS program in STEM and should not be scheduled to graduate before December of the internship year. STEM background with an interest in financial markets, derivatives pricing, quantitative modeling, and risk analytics. Must have strong programming skills in C++ and/or Java; functional programming skills in SQL; working knowledge of R, Python/NumPy, MatLab, or similar language for working with data and performing scientific computing is a plus. Programming in CUDA is a plus. You'll really stand out with: Financial markets experience a plus (market data, reference data, risk). Strong Linux background is a plus. Strong ability to work within a global team, prioritize tasks, and meet deadlines. Benefits and Perks Competitive compensation Flexible, hybrid work environment, 3 days in office, 2 days remote, per week. 2:1 401(k) match, up to 8% match immediately upon hire. Some of our employees' favorite benefits and perks include: Daily complimentary in-office lunch from local restaurants Endless free coffee and snacks to fuel your workday Monthly in office networking events and happy hours Associate Resource Groups (ARGs) and affinity groups for support and community building More About Cboe Global Markets We're reimagining the future of the workplace by focusing on what matters most, our people. Our journey is an inclusive one. We're investing deeply in leadership programs and career development initiatives that ensure everyone has an equal chance to succeed. We celebrate the diversity in our communities, inside and out, and welcome new perspectives with equity, inclusion and belonging. We work with purpose, solving problems with ingenuity, collaboration, and a lot of passion. We're an engaged and excited team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes. Learn more about life at Cboe on our website, LinkedIn, and our student page for more information about our internship program! Equal Employment Opportunity We're proud to be an equal opportunity employer - and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. #LI-HL #Hybrid This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States without the need for employer sponsorship now or in the future. Our pay range for interns is determined by function and education level. The national new hire base pay range for this job in the United States is $22.00 - $42.00 per hour. This range represents the minimum and maximum base pay target for new hires working in the position full time. Within the range, individual pay is determined by years of education completed. In addition to base pay, eligibility for our total rewards program may include benefits such as 401 (k) with a generous company match and paid sick time. Your recruiter will provide more details about the total compensation package during the hiring process Any communication from Cboe regarding this position will only come from a Cboe recruiter who has a @cboe.com email or via LinkedIn Recruiter. Cboe does not use any other third party communication tools for recruiting purposes.

As a Senior Platform Engineer, you will be at the heart of Avant's technical evolution. This isn't a maintenance role; you will be a key player in designing and building the foundational data and machine learning platforms that power our products and analytics. You will tackle the dual challenge of scaling our core systems for the future while pioneering the practical application of Generative AI to create real business differentiation. You will join a focused, agile team with significant autonomy and a mandate to innovate. If you are a curious, hands-on engineer who thrives on variety and wants to shape how a successful fintech scales its most critical capabilities, this is the opportunity for you. What you'll do at Avant Build and Evolve Our Data Platform Design and implement our next-generation orchestration layer, transforming it from a series of environment-specific instances into a unified, multi-tenant platform. Develop full-stack internal applications (Python backends, React frontends) that empower teams with self-service UIs for ingestion, transformation, and delivery. Enhance our MLOps platform to empower teams with self-service tools for the entire model lifecycle. Evolve and expand our core data and analytics stack, working with technologies like Kafka, Databricks, Spark, dbt, and Kubernetes to make advanced capabilities accessible to everyone. Collaborate closely with Data Engineering and Product teams to understand their needs, design robust solutions, and build the tools that accelerate their work. Shape Our Approach to GenAI Move beyond the hype and contribute to the practical adoption of GenAI, focusing on applications that deliver real business value. Help define patterns and practices for building reliable, observable, and cost-effective GenAI systems in production. Build safe and effective sandboxes for developers to experiment with new tools and features. Why you're a fit at Avant Experience: 5+ years of experience in backend or platform engineering. Technical Foundation: Strong backend development skills, experience building and deploying services in a cloud environment like AWS, and a solid understanding of infrastructure concepts. While our stack is Python-heavy, we value engineering principles over specific tool expertise. Problem-Solving Mindset: You can operate at multiple levels of abstraction, from high-level system design to hands-on coding. You approach unfamiliar tools and patterns with excitement and a desire to learn. Pragmatism and Agility: You are a practical thinker who can critically evaluate tools and ideas. You're comfortable building rapid prototypes and iterating on proofs-of-concept to find the best path forward. Clear Communicator: You can articulate complex technical ideas and proposals, fostering open and productive design discussions. Bonus Nice to Haves Experience with our core stack: Databricks, Spark, Kafka, Airflow, Temporal, or dbt. Hands-on experience with Terraform and AWS services relevant to data platforms (e.g., S3, EKS, MSK, DMS, Glue). Familiarity with data engineering concepts or the machine learning lifecycle (MLOps). Personal projects or a demonstrated interest in exploring GenAI or other emerging technologies. Why This Opportunity Build, Don't Just Maintain: You'll be creating new capabilities and evolving our platform, not just keeping the lights on. From our orchestration revamp to GenAI initiatives, there's significant greenfield work. Career Growth: This role offers significant growth potential. We encourage our senior engineers to grow into technical leaders, architects, and mentors as the team and platform evolve. A Culture of Ownership: We foster a proactive engineering culture where you are empowered to identify and solve underlying problems, not just treat symptoms. You'll have significant autonomy and the opportunity to influence major platform decisions. Balanced Environment: Our team enjoys a hybrid work schedule (3 days/week in our Chicago Loop office) and a very quiet on-call rotation. We foster learning through team R&D time and company-wide hackathons. This role is based on our downtown Chicago Office, located in the Merchandise Mart. We highly value collaboration and our hybrid schedule (M, T, Th in-office) enables flexibility to balance work and individual priorities. Compensation Range: The base salary range for this job is USD $135,000 USD - $165,000 USD /Year Employees new to Avant typically come in below the midpoint of the pay range. The compensation range is based on the level outlined in the job posting, and compensation decisions are dependent on each applicant's experience, skills and abilities. [If an outstanding applicant's experience and skill level is above or below the qualifications outlined in the job posting, we reserve the right to make an offer at a different level than the one listed in this job posting, which may have a different compensation range.] This role is eligible for additional incentives, including an annual bonus. These rewards are allocated based on level, impact and performance in the role. Our benefits include: Choice of great Medical, Dental, and Vision Insurance Plan options 401(k) match Flexible Time Off Flexible Work Environment - (i.e. Mon/Tues/Thurs in-person) Generous Paid Parental Leave, Adoption Assistance and Post-parental leave ramp-up program Lunch Allowance (Fooda) and In-office Snacks Summer Fridays Fun In-Office and Virtual Social Events And who doesn't love the swag Check out our Avant Blog! We believe that a diverse set of backgrounds and experiences helps us create the most innovative solutions for our customers. We invite you to apply to our positions even if you do not meet 100% of the qualifications listed in the description. If you're passionate about our mission and aligned to our values, we hope you'll come contribute to our awesome culture. Why Avant is the place for you: At Avant, we believe our values make a difference: Authenticity. We show up to work as our whole selves and make sure others can too. Collaboration. We can only succeed when we do so as a team. Problem-Solving. The harder the problem, the more satisfying the solution. Customer. We are all owners of the customer experience. Initiative. Plan. Adapt. Get Sh!t Done. We believe that great ideas come from anyone and anywhere, that everyone is an owner who drives change, and that we have more fun when we work together. We're problem solvers who love collaborating with intelligent and highly-motivated people to reshape the face of digital banking. Avant offers terrific perks and benefits, fun social events with employees who actually like hanging out together, and a flexible growth environment where trying your hand at new projects and being the active owner of your career path is encouraged and supported.

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company - we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role The Senior Director of Solution Consulting role at Veeva is a senior-level position focused on driving the adoption and growth of Veeva Data Cloud through pre-sales engagement. Veeva Data Cloud is the modern data foundation for Biopharma, overcoming the limitations of fragmented systems with a complete suite of commercial data products: reference data, deep data, performance data, and access data. This is a hybrid role that combines deep technical data expertise with a consultative, client-facing approach. You will be responsible for supporting customer engagements in pre-sales, which includes working directly with customers to build brand awareness, highlighting product points of differentiation, and guiding customer data assessments. Additionally, you will demonstrate how these products can be used to drive value for customers by discovering new patients and healthcare providers, growing top-line revenue, and increasing bottom line efficiency. Leveraging your technical skills and industry expertise, you will also educate prospective customers as to how these products are used to support key use cases, including how: Compass Patient provides a more complete patient journey Compass Prescriber can be leveraged for segmentation, targeting, and incentive compensation Compass National delivers more accurate forecasting, performance tracking, and competitive analysis HCP Pulse can be used to drive better segmentation and targeting, call planning, and field execution This role is a key part of Data Cloud's commercial strategy. The feedback you receive from customers in-market will be curated and shared with members of the Compass team to inform Compass product roadmap and feature releases. If you are intellectually curious and get excited about bringing new products to market, this is a great opportunity for you. What You'll Do Subject-Matter Expertise: You will serve as the go-to expert on Veeva Compass, with heightened focus on its APLD data products: Compass Patient, Pathway and Data Connector. Your role is to articulate the value proposition and expertly address customer questions and potential objections Consultative Selling: You will adopt a consultative approach, working directly with customers to understand their business needs and therapeutic area dynamics. You will then design and deliver custom data assessments and product demonstrations that precisely demonstrate how Compass solves their most critical commercial use cases Pre-Sales Framework Design: Contribute to the pre-sales framework, including standardized processes, methodologies and analysis templates, to create a consistent, repeatable, and scalable approach for all customer engagements Project and Team Management: You will manage multiple analytics projects, ensuring on-time delivery. You will also direct the day-to-day activities and priorities of other team members Thought Leadership: You will serve as a key thought leader for Veeva Compass, helping to shape the market narrative and establish our brand as an authority in the industry. You will educate the industry on new and innovative product methodologies through customer-facing discussions, presentations, and the creation of forward-looking content Strategic Contribution: You'll collect market feedback and share it with the Compass team to directly influence the product roadmap and future feature releases. You will also contribute to new business development and assist Account Partners in responding to RFPs (Request for Proposals) Client Relationship and Pre-Sales Engagement Management: You will serve as a trusted advisor to clients, working alongside account partners and strategists to build and maintain strong relationships at key accounts Requirements General Experience: 12+ years of healthcare data and/or analytics experience Experience working with commercial teams in life sciences and managing client engagements A demonstrated ability to successfully engage all levels of client organizations Technical Expertise: Deep knowledge of and direct experience working with pharmaceutical commercial data sets, including specific data products from vendors like IQVIA (i.e., LAAD, Xponent, DDD, NPA, NSP), ICON (i.e., PatientSourceComplete, PatientSourceDuo, PrescriberSource, PayerSource, NonRetailSource), and Komodo MapLab Ability to analyze large datasets using SQL Proficiency in project management tools like Jira and Confluence Other Skills: Excellent critical thinking, analysis, and presentation skills A passion for bringing new products to market and entrepreneurial energy The ability to function as a trusted advisor to customers Ability to travel for customer meetings and internal events, as needed Nice to Have Data visualization expertise (Tableau, Power BI) Experience working with product and/or agile teams Experience in labs and genomics data Experience in remittance data Perks & Benefits Medical, dental, vision, and basic life insurance Flexible PTO and company paid holidays Retirement programs 1% charitable giving program Compensation Base pay: $150,000 - $300,000 The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus. #LI-Remote #LI-Director Veeva's headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com. Work Where It's Best for You Work Anywhere means you can work in an office or at home on any given day. It's about getting the work done in the way and place that works best for each person. This applies across all locations and departments. Work Anywhere does not mean work at any time. We have predictable core hours where employees are generally available for meetings and collaboration. Employees are focused and available during core hours. We invest in our offices to make them places where our employees like to go. If you work in the office three or more days a week, you will have a dedicated office workspace. Our offices function as hubs to draw people in, create social bonds, and where random connections and mixing of ideas happen. We're investing more in offices, culture, and offsite meetings, not less. Product teams are organized in regional product hubs for optimal collaboration and live within a time zone of their hub. Our current product hubs are located in Pleasanton, Columbus, Boston, Kansas City, New York City, Raleigh, and Toronto. We create opportunities for teams to get together in person regularly. Customer-facing roles, such as Sales and Professional Services, live near and/or travel to their customers. When an employee moves within a country it does not cause a change in salary. Where you live impacts you and your family. Not knowing if your compensation will change if you move can cause stress and uncertainty for everyone. We wanted to eliminate that. Work at Veeva. Work where it's best for you. A different kind of company. A Public Benefit Corporation. Unlike a traditional corporation, whose only legal duty is to maximize shareholder value, PBCs consider their public benefit purpose and the interests of those materially affected by the corporation's conduct-including customers, employees, and the community-in addition to shareholders' interests. × What sets us apart Public Benefit Corporation Work Anywhere Veeva Giving Corporate Citizenship Employees are Shareholders Non-Competes Public Benefit Corporation In February 2021, Veeva became the first public company to convert to a Public Benefit Corporation (PBC). Unlike a traditional corporation, whose only legal duty is to maximize shareholder value, PBCs consider their public benefit purpose and the interests of those materially affected by the corporation's conduct-including customers, employees, and the community-in addition to shareholders' interests. Veeva's public benefit purpose is to help make the industries we serve more productive and create high-quality employment opportunities. Learn More Work Anywhere Work Anywhere means you can work in an office or at home on any given day. It's about getting the work done in the way and place that works best for you. We invest in our offices to make them places where our employees like to go. If you work in the office three or more days a week, you will have a dedicated office workspace. Product teams are organized in regional product excellence hubs for optimal collaboration and live within a time zone of their hub. Our current product hubs are located in Pleasanton, Columbus, Boston, Kansas City, New York City, Raleigh, and Toronto. We create opportunities for teams to get together in person regularly. Customer-facing roles, such as Sales and Professional Services, live near and/or travel to their customers. Read More → Veeva Giving At Veeva, we believe in giving back. Veeva's support for charitable causes is entirely employee driven because we think giving is personal and should be directed by the individual. With our 1% Veeva Giving program, each employee receives an amount equivalent to 1% of their base salary annually to support the non-profit(s) of their choice. We don't dictate favored corporate causes or ask employees to donate to specific non-profits. We never support a charitable cause in exchange for commercial advantage or preferential treatment. Corporate Citizenship Veeva's core values - do the right thing, customer success, employee success, and speed - guide our decision making and define our culture. Doing the right thing means that we are concerned about more than just financial success and return to shareholders. We recognize a responsibility to customers, employees, environment, and society.As individuals, we pride ourselves on being good people who are honest, fair, and direct. We treat others with respect. As a company, we strive to be a good corporate citizen, a positive force in the business community, active in our communities, and an example to others. Read More → Employees are Shareholders Our equity program is designed to enable the vast majority of our employees to participate. Our unique approach to awarding equity grants allows our employees to be shareholders so they can benefit financially in the company's growth. Non-Competes Veeva has taken a strong stance against the use of non-compete agreements that can limit employee opportunities. We do not require our employees to sign non-compete agreements, and we have taken legal action to fight the unfair use of these agreements by other companies because we believe such agreements limit an employee's fundamental right to work where they choose. We believe in our people and want them to be successful here at Veeva or wherever their careers take them. Read More → News and recognition Veeva in Top 100 Most Reliable Companies Fastest-Growing Company for 5 Years, Future 50 for 2 Years New York's Noncompete Bill Is A 'Big Domino To Fall'-And The Broadest Ban Yet-In A Growing Movement Against Them Veeva's Peter Gassner Combine's Today's Execution with Tomorrow's Vision Grow, contribute and be recognized "Veeva's engineering teams take a pragmatic approach to software development. We offer an ideal environment for engineers who value focus, speed and integrity in their work." Jacob Marcus VP, Engineering "I appreciate that Veeva values autonomy over alignment. As a result, we get to make decisions as a small team and ship products faster." Shilpa Chandermohan Software Engineer "As a software engineer at Veeva, I'm proud to be doing meaningful work building clinical trial software that will benefit so many people." 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Industry/Sector Technology Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 8 year(s) Certification(s) Required GCP Professional Cloud Architect, GCP Data Engineer QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification Preferred Qualifications Certification(s) Preferred Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate Preferred Knowledge/Skills Demonstrates in-depth abilities and/or success in one or many of the following areas: Designing and implementing comprehensive data architecture strategies that meet current and future business needs using Google Cloud services; Developing and documenting data models, data flow diagrams, and data architecture guidelines; Assessing that data architecture is compliant with data governance and data security policies; Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions; Evaluating and recommending new data technologies and tools to enhance data architecture; Evaluating data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Developing leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management; Leading the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architecting, designing, building and optimizing ETL/ELT pipelines for data ingestion, processing, and storage; Developing and deploying scalable data storage solutions using GCP services; Architecting, designing, and implementing scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau; Designing, implementing, and managing workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications; Architecting, designing and implementing data warehouses and data lakes, ensuring data is organized and accessible; Developing frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architecting and overseeing implementation of IAM roles and policies to manage access and permissions within GCP; Developing automation strategies leveraging Terraform for infrastructure as code (IaC) deployments; Architecting and implementing services using GCP DevOps services to build and deploy DevOps pipelines; Developing data security industry standard practices using GCP; Optimizing Cloud resources for cost, performance, and scalability; Demonstrating strong proficiency in SQL and experience with relational databases; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security industry practices; Possessing strong analytical, problem-solving, and communication skill; and, Working independently and as part of a team in a fast-paced environment. Demonstrates in-depth level abilities with, and/or a proven record of success directing efforts in the following areas: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and, Coaching and collaborating with associates who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Position Summary GEICO is seeking an experienced Senior Engineer with a passion for building high-performance, low maintenance, zero-downtime data solutions. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission. Within the Data Analytics and Vertical Engineering team, you will develop state-of-the-art data pipelines, models, and reports, transforming vast datasets that reach up to multiple terabytes in size, while championing innovation, best practices, and continuous learning. Position Description As a Senior Engineer, you will work to provide an excellent user experience for our internal stakeholders across the organization and maintain the highest standards of data and analytics engineering. Our team thrives and succeeds in delivering high quality data solutions in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from data processing and pipeline development to dimensional data modeling and reporting. Position Responsibilities As a Senior Engineer, you will: Scope, design, and build scalable, resilient distributed systems Utilize programming languages like Python, SQL, and NoSQL databases, along with Apache Spark for data processing, dbt for data transformation, container orchestration services such as Docker and Kubernetes, and various Azure tools and services Utilize your passion for data exploration to produce high quality reports with tools such as Power BI and Apache Superset to empower outstanding business decisions Use your technical expertise to shape product definitions and drive towards optimal solutions Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization Engage in cross-functional collaboration throughout the entire development lifecycle Manage data pipelines, ensuring consistent data availability Mentor other engineers Consistently share best practices and improve processes within and across teams Qualifications Advanced programming experience and big data experience within Python, SQL, dbt, Spark, Kafka, Git, Containerization (Docker and Kubernetes) Advanced experience with Data Warehouses (Snowflake preferred), dimensional modeling, and analytics Demonstrable knowledge of business intelligence tools (Power BI and Apache Superset preferred) Experience with Apache Iceberg for managing large-scale tabular data in data lakes is a plus Experience with orchestration tools such as Apache Airflow or similar technologies to automate and manage complex data pipelines Experience architecting and designing new ETL and BI systems Experience with supporting existing ETL and BI systems Experience with CI/CD to ensure smooth and continuous integration and deployment of data solutions Ability to balance the competing needs of multiple priorities and excel in a dynamic environment Advanced understanding of DevOps concepts including Azure DevOps framework and tools Knowledge of developer tooling across the data development life cycle (task management, source code, building, deployment, operations, real-time communication) Understanding of microservices oriented architecture and REST APIs and GraphQL Advanced understanding of data quality monitoring and automated testing Strong problem-solving ability Experience with Marketing, Product, Sales, Service, Customer, Associate, Billing, Agency, Claims, or Telematics data is preferred Experience 4+ years of professional data and/or analytics engineering, programming languages and developing with big data technologies 3+ years of experience with data architecture and design 3+ years of experience with AWS, GCP, Azure, or another cloud service 3+ years of experience with ETL and/or BI tools 2+ years of experience in Big-data tools like Spark and Databricks Education Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, Data Analytics or equivalent education or work experience Annual Salary $95,000.00 - $230,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

About Monster Energy: Forget about blending in. That's not our style. We're the risk-takers, the trailblazers, the game-changers. We're not perfect, and we don't pretend to be. We're raw, unfiltered, and a bit unconventional. But our drive is unrivaled, just like our athletes. The power is in your hands to define what success looks like and where you want to take your career. It's not just about what we do, but about who we become along the way. We are much more than a brand here. We are a way of life, a mindset. Join us. A day in the life: As a Data Collection Specialist at Monster Energy, you're the data dynamo driving our distribution network to new heights! Your mission? Capturing invoice-level data with the precision of a pro and ensuring it's as flawless as our flavors. You'll be the guardian of data integrity, alignment, and validation, fueling our reporting, forecasting, production, accruals, and promotional rebates with unstoppable energy. Get ready to rev up your skills and keep our enterprise running at full throttle! The impact you'll make: Analyze and audit depletion data against the reporting distribution partners internal systems to ensure data accuracy and data quality meet the agreed upon standards Perform audits; daily, weekly, monthly, and quarterly, volume and call point audits to ensure alignment in both internal and external systems Manages the end-to-end process from creation to quarterly auditing of call points and their retail outlets ensuring alignment with outlet numbers, "doing business as" (dba), address, class of trade, premise type, and reporting hierarchy Manage the matching process of reported outlets to the appropriate outlet master record through data gathering, entry, and validation as needed Perform basic reporting through graphs and charts of large data sets to identify and correct inconsistencies and provide evidence to stakeholders and different departments to make informed decisions Protect information provided in confidence from outside sources (bottlers and other business partners) and ensure this information is not disseminated to any unauthorized parties Protects information and materials provided to third parties (e.g., consultants, vendors, suppliers, bottlers) by ensuring appropriate procedures are followed and parties are bound by company confidentiality agreements as necessary Compile data-backed evidence, and gathers data as needed, to recommend and implement data strategies to improve existing data collection processes and tools Analyze, validate, prioritize, and execute requests for maintenance to ensure the appropriate standards and governance rules are maintained Work with leadership to write and maintain standard operating procedures for audits and perform all other duties and tasks as assigned Who you are: Prefer a Bachelor's Degree in the field of -- Statistics, Business, Data Analytics, Mathematics, or related field of study Additional Experience Desired: Between 1-3 years of experience in data collection, data entry, or a related role Additional Experience Desired: Between 1-3 years of experience in data collection tools and software such as Qualtrics, Google Forms, or similar Computer Skills Desired: Proficiency in Microsoft Suite, including highly developed skills in Excel. Python and SQL is a plus Preferred Certifications: Certifications in data management, database administration, or data analytics are a plus. Additional Knowledge or Skills to be Successful in this role: Work effectively with cross-functional teams, including marketing, sales, and product development. Monster Energy provides a competitive total compensation. This position has an estimated hourly rate of $27.40 - $36.54 per hour. The actual pay may vary depending on your skills, qualifications, experience, and work location.

Insulet Corporation, maker of the OmniPod, is the leader in tubeless insulin pump. Join a fast-paced, mission-driven medical device company where data plays a critical role in improving patient outcomes and operational excellence. As a Technical Solutions Owner - Enterprise Data Platform, you'll work directly with the Director of Data Engineering and cross-functional teams on exciting, high-impact projects that shape the future of our products and data platform. You'll be a key contributor organizing and helping the team with managing the backlog of work items building in collaboration with technical leads and stakeholders for our Databricks-based data infrastructure, ensuring it meets the rigorous standards of the medical device industry. This is a unique opportunity to blend technical expertise with product ownership, helping to drive innovation. We offer a dynamic and collaborative work environment, where your attention to detail and passion for quality will directly influence product development, clinical insights, and operational efficiency. If you're looking for a role where your work truly matters-and where you'll grow alongside a team of talented engineers and healthcare professionals-this is the place for you. Key Responsibilities: Define and maintain the product roadmap for data engineering initiatives in collaboration with Data Platform Leads and stakeholders. Translate business requirements into technical specifications and user stories. Prioritize backlog items based on business value, technical feasibility, and strategic alignment. Understand and articulate the data journey - from source systems to data pipelines, storage, transformation, and consumption. Collaborate with engineering teams to design scalable, secure, and efficient data solutions. Ensure data quality, lineage, and governance are embedded in all deliverables. Lead sprint planning, backlog grooming, and retrospectives using Agile methodologies. Manage JIRA boards, epics, and stories to ensure timely and quality delivery. Coordinate with the Release Manager to plan and communicate release schedules and deployment timelines. Serve as the primary point of contact for data engineering initiatives across business units. Communicate progress, risks, and dependencies clearly and regularly. Facilitate cross-functional collaboration to align on priorities and resolve blockers. Maintain comprehensive documentation of data flows, architecture decisions, and product features. Create and share release notes, deployment plans, and user guides. Ensure stakeholders are informed and engaged throughout the product lifecycle. Qualifications: Bachelor's or Master's degree in software engineering / data engineering or any engineering discipline. 3+ years of experience in data engineering, analytics, or technical product ownership. Strong understanding of data platforms, ETL/ELT pipelines, cloud technologies (e.g., AWS, Azure, GCP), and data governance. Hands-on experience with Agile tools like JIRA, Confluence, and version control systems. Excellent communication, collaboration, and stakeholder management skills. Experience working with cross-functional teams in a fast-paced environment. Preferred Skills: Familiarity with modern data stack tools (e.g., Databricks dbt, Snowflake, ). Experience or knowledge of data modeling, metadata management, and data cataloging. Background in software engineering or data engineering is a plus. Experience in Data security and compliance frameworks (GDPR, CCPA) is a plus Additional Information: The US base salary range for this full-time position is $101,475.00 - $152,212.50. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position in the primary work location in the US. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your Talent Acquisition Specialist can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Insulet Corporation (NASDAQ: PODD), headquartered in Massachusetts, is an innovative medical device company dedicated to simplifying life for people with diabetes and other conditions through its Omnipod product platform. The Omnipod Insulin Management System provides a unique alternative to traditional insulin delivery methods. With its simple, wearable design, the tubeless disposable Pod provides up to three days of non-stop insulin delivery, without the need to see or handle a needle. Insulet's flagship innovation, the Omnipod 5 Automated Insulin Delivery System, integrates with a continuous glucose monitor to manage blood sugar with no multiple daily injections, zero fingersticks, and can be controlled by a compatible personal smartphone in the U.S. or by the Omnipod 5 Controller. Insulet also leverages the unique design of its Pod by tailoring its Omnipod technology platform for the delivery of non-insulin subcutaneous drugs across other therapeutic areas. For more information, please visit insulet.com and omnipod.com. We are looking for highly motivated, performance-driven individuals to be a part of our expanding team. We do this by hiring amazing people guided by shared values who exceed customer expectations. Our continued success depends on it! At Insulet Corporation all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. (Know Your Rights)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps Structuring, write, communicate and facilitate client presentations; and, Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: Managing GenAI application development teams including back-end and front-end integrations Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

About Grocery Outlet: Our Mission: Touching lives for the better Our Vision: Touching lives by being the first choice for bargain-minded consumers in the U.S. Our Values & Behaviors: Achievement, Diversity, Entrepreneurship, Family, Fun, Integrity & Service About the Team: Our Planning team's mission is to constantly push the status quo to deliver the best service to our buying team and store operators. Our team is highly intelligent and engaged with the business- allowing us to operate in a fast-paced environment and form cross-functional partnerships. Successful members of our team maximize profitability and productivity within their department and motivate their team and cross functional partners with their energy. About the Role: The Inventory Data Specialist reports to the Data & Process Manager on the Inventory Planning team. The Inventory Data Specialist's role is to support the quality and integrity of Grocery Outlet's product data through regular data monitoring, maintenance activities, and collaboration with the team to identify process improvement across the business. Responsibilities Include: Build a cross-functional understanding of the business, specifically as it relates to end-to-end product lifecycle. Will be responsible for reviewing error logs, tickets, dashboards, and item datasets (e.g., purchase orders, on-hand inventory, UPCs) to ensure a high level of accuracy and completeness, identifying and resolving any gaps to maintain strong data integrity in a timely manner. Train others in the business (buyers, assistants, etc.) on how to comply with new data quality standards in their roles. Participate in cross-functional data quality initiatives, including data cleansing, enrichment, and standardization efforts. Contribute to the development of data quality standards and SOPs to support long-term governance. Recommend process enhancements based on recurring data issues and opportunities identified through analysis and business user feedback. Ad hoc tasks and analysis as needed to support the business. About The Pay: Base Salary Range: $70,000 Annually 401(k) Profit Sharing Medical, Dental, Vision & More! Final compensation will be determined based upon experience and skills and may vary based on location. About You: Bachelor's Degree in related field (Information Systems, Business Analytics, etc.) or at least one year of relevant experience Intermediate Excel Skills (VLOOKUP, Formulas, Conditional Formatting, Pivot Tables, etc.) Excellent analytical and problem-solving skills Strong communication and interpersonal skills Ability to work collaboratively in a cross-functional team environment Ability to effectively prioritize work and complete urgent tasks in a timely manner Curiosity to understand how data impacts the customer experience and business operations Experience in retail at any level is a plus Experience with SAP HANA or similar ERP is a plus To learn about how we collect, use and secure your personal information. Click here to see our privacy policy.

Position Overview: We are seeking an exceptional Staff Data Engineer to join our team as a senior technical leader responsible for architecting and implementing enterprise-scale data solutions that directly impact our cybersecurity platform's strategic objectives. This role combines deep technical expertise with significant organizational influence, requiring someone who can design complex data architectures, mentor engineering teams, and drive the technical vision for our multi-petabyte data infrastructure serving millions of users. Essential Qualifications (All Required): Bachelor's degree in Computer Science, Data Engineering, or related technical field (Master's degree preferred) Minimum 10-15 years of hands-on data engineering experience in large-scale, high-volume environments Expert-level proficiency in SQL optimization for multi-petabyte datasets and advanced Python programming Extensive experience with Snowflake architecture, optimization, and cost management at enterprise scale Demonstrated expertise building Kimball dimensional data warehouses and star schema architectures Advanced experience with AWS cloud infrastructure and either DBT or SQLMesh for data transformations Hands-on experience with CI/CD pipelines, GitFlow, and data governance frameworks ensuring GDPR/PCI-DSS compliance Proven ability to architect and own multiple entire areas of the codebase or services independently Advanced Technical Requirements: Expertise with Apache Kafka, real-time data processing, and event-driven architectures Experience with Apache Iceberg, data lakehouse architectures, and modern table formats Demonstrated expertise in cloud cost optimization and data warehouse performance tuning Desired Qualifications: Experience with MLOps frameworks, LLM integration, vector databases, and AI-driven analytics. We know its new, but some familiarity is a plus. Proven track record with subscription business models including cohort analysis, LTV calculations, and marketing attribution Direct industry experience in cybersecurity, ad-tech, or high-volume data processing environments (billions of events per day) Key Responsibilities: ·Design and architect enterprise-scale data solutions that directly impact Gen's data strategy execution. This might be something like designing and implementing an incremental identity graph, integrating a marketing attribution vendor or automating LTV calculation. Lead evaluation and implementation of cutting-edge technologies including modern data stack and advanced analytics Collaborate with executives and senior leadership to align data architecture with business strategy Mentor IC9 and IC10 engineers, focusing on architectural decision-making and advanced technical skills Drive complex, multi-quarter technical initiatives requiring coordination across multiple engineering teams This position requires a unique combination of deep technical expertise, strategic thinking, and leadership capabilities. The successful candidate will be a recognized expert in their domains within the broader data engineering community and capable of driving significant technical and business impact at enterprise scale. #LI-AS1 Gen is proud to be an equal-opportunity employer, committed to diversity and inclusivity. We base employment decisions on merit, experience, and business needs, without considering race, color, national origin, age, religion, sex, pregnancy, genetic information, disability, medical condition, marital status, sexual orientation, gender identity or expression, military or veteran status, or other unlawful factors. Gen prohibits discrimination based on these protected characteristics and recruits talented candidates from diverse backgrounds. We consider individuals with arrest and conviction records and do not discriminate against employees for discussing their own pay or that of other employees or applicants. Learn more about pay transparency. To conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.

Industry/Sector Technology Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 8 year(s) Certification(s) Required GCP Professional Cloud Architect, GCP Data Engineer QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification Preferred Qualifications Certification(s) Preferred Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate Preferred Knowledge/Skills Demonstrates in-depth abilities and/or success in one or many of the following areas: Designing and implementing comprehensive data architecture strategies that meet current and future business needs using Google Cloud services; Developing and documenting data models, data flow diagrams, and data architecture guidelines; Assessing that data architecture is compliant with data governance and data security policies; Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions; Evaluating and recommending new data technologies and tools to enhance data architecture; Evaluating data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management; Developing leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management; Leading the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets; Architecting, designing, building and optimizing ETL/ELT pipelines for data ingestion, processing, and storage; Developing and deploying scalable data storage solutions using GCP services; Architecting, designing, and implementing scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau; Designing, implementing, and managing workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications; Architecting, designing and implementing data warehouses and data lakes, ensuring data is organized and accessible; Developing frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management; Architecting and overseeing implementation of IAM roles and policies to manage access and permissions within GCP; Developing automation strategies leveraging Terraform for infrastructure as code (IaC) deployments; Architecting and implementing services using GCP DevOps services to build and deploy DevOps pipelines; Developing data security industry standard practices using GCP; Optimizing Cloud resources for cost, performance, and scalability; Demonstrating strong proficiency in SQL and experience with relational databases; Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus; Experience with machine learning and data science workflows is a plus; Knowledge of data governance and data security industry practices; Possessing strong analytical, problem-solving, and communication skill; and, Working independently and as part of a team in a fast-paced environment. Demonstrates in-depth level abilities with, and/or a proven record of success directing efforts in the following areas: Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures; Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback; Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and, Coaching and collaborating with associates who assist with this work, including providing coaching, feedback, and guidance on work performance. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn't clear, you ask questions, and you use these moments as opportunities to grow. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Job Description Generator Output The Opportunity As part of the Data and Analytics Engineering team you will develop, implement, and enhance machine learning models and algorithms for various applications. As a Senior Associate you will analyze complex problems, mentor others, and maintain rigorous standards while building meaningful client connections and navigating increasingly complex situations. This role offers the chance to deepen your technical knowledge and grow your personal brand while collaborating with stakeholders to create innovative solutions. Responsibilities Mentor junior team members to enhance their skills and knowledge Build and maintain productive relationships with clients Navigate intricate situations to deliver quality results Uphold professional standards and maintain quality in deliverables Continuously enhance technical knowledge and personal brand What You Must Have Bachelor's Degree 3 years of machine learning and generative AI development experience What Sets You Apart Doctor of Philosophy in Computer Science, Data Processing/Analytics/Science, Business Administration/Management, Risk Management, Statistics, Mathematical Statistics preferred Developing and optimizing machine learning models and algorithms Designing and building generative AI models for innovative solutions Working with stakeholders to translate business requirements Processing, cleaning, and verifying data integrity Conducting testing and validation of models for accuracy Staying current with advancements in machine learning and AI Mentoring junior team members in data science practices Experience connecting to APIs and systems Demonstrating hands-on experience with OpenAI, CoPilot Studio, Azure AI, Gemini, AgentSpace, Claude, and other GenAI platforms Possessing hands-on experience with LangChain, LangFlow, Agent SDK, AgentForce, AgentSpace, Copilot Studio, LlamaIndex, Autogen, Palantir Foundry, ReAct, etc. Travel Requirements Up to 60% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. The salary range for this position is: $77,000 - $202,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for. About the Role: The New York Times is looking for an Engineering Manager to join the Data Platform mission to lead a new engineering team focused on creating data products designed to meet NYT's most important real-time needs, including behavioral and targeting use cases. You will build a team of engineers focused on deploying and managing real-time pipelines and APIs in an event-driven architecture to process event streams and serve aggregated data for customer-facing use cases. You will report to the Director of Data Platform. This is a hybrid role based in our New York City headquarters. Responsibilities: Lead a team of engineers, promoting a culture of collaboration, innovation, and continuous improvement. Hire and develop engineering talent within the team. Oversee the execution of roadmap items and increase productivity and delivery Collaborate with product managers and partners to define product requirements and roadmaps. Guide technical decisions and architectural design for the team's projects. Monitor and report on initiative progress and risks. Experience coaching engineers, helping them make an impact while growing in their careers. Experience collaborating with product and partners to meet shared goals. Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world. Basic Qualifications: 2+ years experience as an Engineering Manager leading a data engineering team building production data pipelines and data products. 5+ years of full-time data engineering experience shipping real-time solutions with event-driven architectures and stream-processing frameworks. Experience with AWS and their service offerings and tools. Understanding of modern API design principles and technologies, including REST, GraphQL, and gRPC for data serving. Preferred Qualifications: Experience developing pipelines with Apache Kafka, Apache Flink, or Spark Streaming. Understanding of modern data platforms, including data lake technologies and medallion architectures. REQ-018501 The annual base pay range for this role is between: $152,000-$190,000 USD The New York Times Company is committed to being the world's best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)'s Know Your Rights Poster is available here. The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For information about The New York Times' privacy practices for job applicants click here. Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.

Our not-so-secret sauce. Award-winning, inclusive, Top Workplace culture doesn't happen overnight. It's a result of hard work by extraordinary people. More than 11,000 of the industry's brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can thrive as a Senior Data Architect at Marsh McLennan Agency (MMA). MMA provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With 200 offices across North America, we combine the personalized service model of a local consultant with the global resources of the world's leading professional services firm, Marsh McLennan (NYSE: MMC). A day in the life. As a Senior Data Architect on the Data team, you'll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. You will define reference data architecture and work with agile teams to ensure the documented best practices are used in data platform development. Additionally, you'll create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects. You will also design, develop, and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics, and provide solutions for Enterprise-level Applications utilizing Azure Data Platform. Our future colleague. We'd love to meet you if your professional track record includes these skills: 10+ or more years of experience in Information Technology. 5 to 10 years of experience in Enterprise data architecture, Data, Modelling, Data management and Data strategy 5 to 7 years of experience in Cloud database technologies. 7 to 10 years of experience as a data architect Solid understanding of databases and the strengths and weaknesses of platforms and products, with the ability to provide a trusted voice at the decision-making table Expertise in creating ER (Entity Relationship), Logical, Physical, and Conceptual data models for an enterprise Experience in data modeling, streaming skills, and data architecture for operational and analytical datastores Proficiency in the design of batch and streaming data ingestion Knowledge in designing solutions with Data Quality, Data Lineage, and Data Catalogs Experience with solving performance challenges for a variety of velocities, latencies, and volumes of data Designing and maintaining the data models, including conceptual, logical, and physical data models Experience with SOA data layer utilizing data access frameworks and exposing data via web services Experience with Business Intelligence and data mart architecture Experience creating a data architecture vision between lines of business and IT Demonstrated competency in communicating the value of data architecture to stakeholders and senior management Experience in SDLC processes, database patterns, and development frameworks Strong interpersonal, verbal, and written communication skills, with the ability to develop and conduct executive-level presentations Experience crafting solutions that leverage data in NoSQL and SQL datastores for high availability and disaster tolerance Preferred experience with Kubernetes, Cloud Native ecosystem, and Data Lake/Data Warehouse technologies Deep expertise in Data engineering capabilities involving architecture, modeling (physical and logical), data governance, storage, security, resilience, and replication Knowledge of Informatica - IICS task flows development and maintenance Experience with MongoDB or another NoSQL database, PostgreSQL, or any relational database Experience with Azure, Data Lake, Databricks, SQL, ETL, and MDM Experience with data integration services such as Azure Data Factory Experience with business intelligence tools; Power BI or Qlik is preferred Experience in designing and building large-scale, enterprise systems in a highly available, scalable, performant, and distributed environment These additional qualifications are a plus, but not required to apply: Knowledge of Agency Management systems like Applied EPIC and Vertafore Sagitta, Benefit Point Microsoft Azure Data Engineer or other cloud certifications Data bricks experience and certification We know there are excellent candidates who might not check all of these boxes. Don't be shy. If you're close, we'd be very interested in meeting you. Valuable benefits. We value and respect the impact our colleagues make every day both inside and outside our organization. We've built a culture that promotes colleague well-being through robust benefit programs and resources, encourages professional and personal development, and celebrates opportunities to pursue the projects and causes that give colleagues fulfillment outside of work. Some benefits included in this role are: Generous time off, including personal and volunteering Tuition reimbursement and professional development opportunities Remote work Charitable contribution match programs Stock purchase opportunities To learn more about a career at MMA, check us out online: http://marshmma.com/careers or flip through our recruiting brochure: https://bit.ly/3Qpcjmw Follow us on social media to meet our colleagues and see what makes us tick: https://www.instagram.com/lifeatmma/ https://www.facebook.com/LifeatMMA https://www.linkedin.com/company/marsh-mclennan-agency/ Who you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages, and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams. Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. #LI-Remote The applicable base salary range for this role is $113,000 to $197,800. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Applications will be accepted until: October 20, 2025