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This is a hybrid role based in Chicago or our Bay Area (San Francisco or Palo Alto) offices and will require you to be in office Tuesdays and Thursdays. What's so interesting about this role? The big data space is growing rapidly at Grindr and we're looking to build an exceptional data engineering team with chops in cutting edge real-time streaming technologies and ambitions to achieve high quality and reliability with TDD, automation, and continuous delivery. Beyond pipelines, this role is about shaping the platforms and tools that empower our data scientists and machine learning engineers to do their best work. As a Senior Staff Data Engineer (Data Platform), you'll play a critical role in defining what "great" looks like for our data platform. You'll focus on creating a seamless development experience for DS and ML engineers, ensuring they can move quickly from idea to production with reliable, scalable systems behind them. At this level, you'll not only solve complex technical challenges-you'll also mentor other engineers and influence the long-term direction of Grindr's data platform. What's the job? Design, develop, and deliver scalable data platforms that enhance the developer experience for data scientists and ML engineers. Solve technical problems of the highest scope and complexity, influencing platform direction and architecture across teams. Connect tools and systems into cohesive, automated workflows that eliminate repetitive work and unlock faster experimentation. Lead implementation of core platform technologies like dbt (from the ground up), Airflow (critical), and distributed computing frameworks (Spark, Databricks, or similar). Drive adoption of long-term, scalable solutions instead of one-off fixes. Provide mentorship for engineers on your team and across the org. Stay on top of new technologies through R&D and prototyping to continuously improve developer experience, scalability, and reliability. Ensure governance and compliance standards are met around data representation, storage, classification, and retention. Work closely with Data Scientists, ML Engineers, SREs, and Product Managers to make sure platforms and APIs meet real user needs. What we'll love about you 10+ years of experience working with data at scale, with a strong focus on data platforms and developer experience. Expert in Python and SQL, with significant experience in distributed data systems. Hands-on experience with Airflow (must-have) and dbt (able to set up from scratch). Strong knowledge of Spark, Databricks, or other distributed computing platforms for ML training. Experience with AWS and cloud-native architectures. Background in software engineering with a transition into data engineering preferred - able to apply SWE rigor to data platform design. Demonstrated ability to enhance developer experience - for example, building holistic automated solutions rather than one-off tables or fixes. Track record of mentorship and technical leadership at the organizational level. Familiar with data governance, classification, retention, and compliance frameworks (SOC2, GDPR, CCPA). What you'll love about us Mission and Impact: Grindr is building the global gayborhood in your pocket. Your role will impact the lives of millions of LGBTQ+ people around the world. Through our success, we are making a world where the lives of our community are free, equal, and just. Family Insurance: Insurance premium coverage for health, dental, and vision for you and partial coverage for your dependents. Retirement Savings: Generous 401K plan with 6% match and immediate vest in the U.S. Compensation: Industry-competitive compensation and eligibility for company bonus and equity programs. Queer-Inclusive Benefits: Industry-leading gender-affirming offerings with up to 90% cost coverage, access to Included Health, monthly stipends for HRT, and more. Additional Benefits: Flexible vacation policy, monthly stipends for cell phone, internet, wellness, food, and commuting, breakfast/lunch provided onsite, and yearly travel & leisure stipend. About Grindr Grindr is building the global gayborhood in your pocket. With more than 13.5 million monthly active users, Grindr has become a fundamental part of the LGBTQ+ community and is charting a path to make the world more free, equal, and just. Since 2015, Grindr for Equality has advanced safety, health, and human rights for millions of Grindr users and the global LGBTQ+ community in partnership with more than 100 community organizations in every region of the world. Our next evolution is underway as a public company that continues to grow and build meaningful experiences for our users. From social issues to product innovations, we're setting audacious goals for our community and the business, and leveraging the latest tech stacks and a culture of engineering excellence to make it happen. At the heart of our work in this new chapter is a shared set of operating principles centered around cultivating curiosity, thinking big, setting and expediting our ambitious goals, and growing through iteration; all while keeping our users #1. Grindr is headquartered in West Hollywood, California, with offices in the Bay Area, Chicago, and New York. With a track record of strong financial performance and plans for continued headcount growth, we're building a team of talented, passionate, and open-minded people who want to disrupt the dating app space, innovate products, and advance LGBTQ+ culture. Come be a part of this exciting journey with us. Grindr is an equal-opportunity employer To learn more about how we handle the personal data of applicants, visit ourEmployee and Candidate Privacy Policy.

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet to help them build the next generation of AI-powered enterprise applications. You will collaborate directly with data scientists, software engineers, and subject matter experts in defining new AI solutions that provide our customers (c3.ai/customers/) with the information they need to make informed decisions and enable their digital transformation. Your role will involve finding the appropriate machine learning algorithms and implementing them on the C3 AI Platform to ensure they can run at scale. C3 AI Data Scientists are equipped with modern development tools, IDEs, and AI agents to maximize productivity and accelerate solution delivery. Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at a large scale. Note: This is a client-facing position which requires travel. Candidates should have the ability and willingness to travel based on business needs. Responsibilities: Designing and deploying Machine Learning algorithms for industrial applications such as predictive maintenance, demand forecasting and process optimization. Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements. Driving adoption and scalability of Generative AI and Deep Learning systems within C3 AI's products. Qualifications: MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Applied Machine Learning experience (regression and classification, supervised, self-supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability, and statistics). Proficiency in Python and objected-oriented programming, e.g. JavaScript Familiarity with key Python packages for data wrangling, machine learning, and deep learning such as pandas, sklearn, tensorflow, torch, langchain, etc. Ability to drive a project and work both independently and in a cross-functional team. Smart, motivated, can-do attitude, and seeks to make a difference in a fast-paced environment. Excellent verbal and written communication. Ability to travel as needed Preferred Qualifications: Experience with scalable ML (MapReduce, Spark). Experience in Generative AI, e.g., Large Language Models (LLMs), embedding models, prompt engineering, and fine-tuning. Experience with reinforcement learning. A portfolio of projects (GitHub, papers, etc.). Experience working with modern IDEs and AI agent tools as part of accelerated development workflows. C3 AI provides excellent benefits, a competitive compensation package and generous equity plan. California Base Pay Range $123,000-$185,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

Description We are seeking an accomplished Data Engineering Lead to join our Data & Analytics team in Columbus, OH . In this role, you will establish repeatable frameworks, lead a team of data engineers, and ensure delivery of reliable and scalable pipelines that power enterprise analytics. You’ll set standards, implement best practices, and partner with leadership to drive a modern data engineering capability. Key Responsibilities Develop Standard Patterns: Create and maintain best practices for data integration and transformation, recommending alternatives when standard patterns don’t fit unique requirements. Automation & Metadata: Use APIs, Python, and other automation tools to develop and maintain an inventory and metadata for data pipelines. Monitoring & Analytics: Build tools and SOPs for monitoring, alerting, and pipeline analytics to ensure reliability, performance, and visibility. Demand Intake & Prioritization: Work with the PMO to establish an intake process for new data engineering requests. Manage and prioritize the backlog, assigning work across the team. Leadership & Mentorship: Lead junior data engineers, ensuring work is performed on time and with quality. Conduct pipeline reviews, provide coaching, and mentor team members for professional growth. Performance Management: Define and track Service Level Agreements (SLAs) and Key Performance Indicators (KPIs) for data pipelines, reporting regularly against them. Important Experience & Skills Leadership & Mentorship: Proven experience managing and mentoring junior data engineering resources and leading teams. Technical Expertise: Highly skilled with SQL and Python, with deep knowledge of modern data engineering architecture and best practices. Modern Practices: Experience with DevOps, CI/CD, and enterprise-grade frameworks for scalable and sustainable data delivery. Strategic Influence: Skilled at working with senior leaders to design and implement repeatable frameworks that deliver enterprise data at scale. Tools & Platforms: Hands-on experience with enterprise data engineering and automation tools to build and operationalize pipelines (e.g., Airflow, dbt, Snowflake, Databricks, etc.). Pay Transparency Compensation for roles at Avaap varies depending on a wide array of factors including but not limited to the specific business unit, team, role, skillset, and level of experience. As required by law, Avaap provides a reasonable range of compensation for roles that may be hired. Base Salary Range is $130,000 to $165,000 plus 20% variable compensation is available for this specific role. At Avaap it is not typical to be hired at the top of the base salary range. During the interview process, alignment to level will be determined and should level differ from position applied for, a new compensation range will be provided for the appropriate role. Minimum Qualifications Must have excellent verbal and written communication skills along with the ability to communicate effectively Must be able to perform work indoors and remain stationary at a computer Ability to work in a fast-paced and deadline-oriented environment Passion for exceptional customer service and collaboration Ability to work remotely or out of one of Avaap’s physical office locations Current permanent U.S. work authorization required Featured Avaap Benefits Open PTO Competitive vision, dental, and medical, including fertility coverage Confidential Teladoc Mental Health therapy services Paid parental leave 401(k) match Company-paid disability and life benefits Employee Assistance Program, including behavioral health services Tech and Fitness stipends Presented benefits available to full-time US employees. Speak with your recruiter about offerings outside of the US.

Job Family: Data Science Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public Trust What You Will Do: We are seeking an experienced Data Warehouse Architect to join our growing AI and Data practice, with a dedicated focus on the Federal Civilian Agencies (FCA) market within the Communities, Energy & Infrastructure (CEI) segment. This individual will be a hands-on technical leader, responsible for designing and delivering modern data warehouse solutions that enable federal clients to achieve mission outcomes, operational efficiency, and digital transformation. This is a strategic delivery role for someone who thrives at the intersection of data architecture, cloud platforms, and public sector modernization. The Data Warehouse Architect will collaborate with cross-functional teams and client stakeholders to modernize legacy environments, implement scalable data pipelines, and support advanced analytics initiatives. Client Leadership & Delivery Serve as a trusted technical advisor to FCA clients on data architecture and modernization strategy. Lead engagements from assessment through implementation, ensuring delivery excellence and measurable outcomes. Translate complex business and technical requirements into actionable data warehouse solutions using platforms such as Databricks, Tableau, and Azure/AWS/GCP. Solution Development & Innovation Architect and implement scalable data pipelines and models using Databricks and other modern platforms. Rationalize legacy BI environments and design future-state architectures aligned with client goals. Ensure compliance with federal data governance, security, and performance standards. Practice & Team Leadership Mentor and guide multidisciplinary teams including data engineers, analysts, and consultants. Support recruiting, onboarding, and talent development within the AI & Data practice. Foster a culture of innovation, collaboration, and continuous learning. What You Will Need: US Citizenship is required Bachelor's degree is required. Minimum SEVEN (7) years of experience in data architecture, data engineering, and analytics. Minimum FIVE (5) years of experience delivering data-driven transformation programs. Strong understanding of data platforms including Databricks, Tableau, and cloud environments (Azure, AWS, GCP). Demonstrated experience supporting the business development lifecycle, including capture and proposal activities. Proven track record of leading large-scale data modernization efforts from concept to execution. Ability to collaborate across technical and business audiences, from C-suite to engineering teams. Excellent communication, facilitation, and relationship-building skills. What Would Be Nice To Have: Master's Degree. Certifications in AI/LLM or cloud data platforms. Experience working with FCA clients such as DOT, GSA, USDA, or similar. Familiarity with federal contracting and procurement processes. The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

This position is on-site 2-3 days in Philadelphia About Proscia Pathology is at the center of medicine and is undergoing a profound transformation as the final frontier of digitization in healthcare. We started Proscia to accelerate pathology's transition from microscope to images, and to use AI to change the way we think about cancer. We can't change medicine alone. That's why we're looking for curious thinkers. Big dreamers. Developers, evangelists, pathologists, and scientists. Exceptional talent to help us use AI for good and advance humankind. At Proscia, we push the limits of medicine and technology, solving problems the world has never solved before. We build software used by thousands of scientists and pathologists, who work on the front lines of fighting cancer for patients globally. To accelerate our vision, Proscia has raised over $100M in capital from world-class healthcare and technology investors. About this Position As a Senior Data Engineer, you will contribute to Proscia's growing Real World Data (RWD) business, which operates as a "startup within a startup." In this entrepreneurial environment, you will help build and scale innovative data solutions that drive better outcomes for cancer patients and support cutting-edge research into therapies and drug regimens. Success in this role requires independence, adaptability, and close collaboration with cross-functional teams while maintaining alignment with broader engineering initiatives. What You'll Do Working at a startup like Proscia means wearing many hats, but when you come to work, you can expect to focus on the following: Develop and refine data pipelines in collaboration with the RWD team and customers, ensuring seamless extraction, transformation, and loading (ETL) of data from customer systems into Proscia's repositories. Work independently to identify and implement process improvements, such as automating manual data migration tasks to accelerate data flows. Design, build, and optimize API integrations, including REST and event-driven/pub-sub architectures, to enable real-time data ingestion, transfer, and quantification. Modify and create Python scripts to allow customers to efficiently upload data, including images, metadata, and other formats. Architect data models, data warehouse design patterns and scalable database solutions to support rapidly growing data while ensuring efficient performance and metadata processing. Collaborate with cross-functional teams, including the core engineering and AI teams, to align technical strategies and ensure seamless integration of RWD solutions with the larger Proscia platform. Operate with a startup mindset, contributing to the RWD team's agility and entrepreneurial spirit while delivering high-impact results. What We're Seeking We're looking for people who are smart, nice, and get stuff done. Proscia thrives on entrepreneurial thinkers who excel in fast-paced, challenging environments and are ready to build the plane while flying it. Our ideal candidate has: 3-5+ years of professional experience with Python scripting for data management. 3+ years of experience with detailed knowledge of data warehouse technical architectures. Strong analytical skills and attention to detail, with a proactive approach to solving problems. Experience with JavaScript and familiarity with modern frameworks (preferred). Proficiency in SQL and/or PostgreSQL. Hands-on experience with REST API development and integrations. Experience in cloud platforms, particularly AWS (preferred). Expertise with Snowflake or similar data warehouse platforms Software engineering principles testing (definition of unit tests, integration tests), setting up CI/CD pipelines and experience with containerization technologies like Docker and orchestration tools like Kubernetes. The ability to work independently within a cross-functional team and coordinate effectively across other engineering teams to design and implement high quality data pipelines. A Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering (Master's degree preferred). Experience working in the life sciences/biopharmaceutical industry is a plus. Beyond Just Work At Proscia, we want our people to thrive inside and outside the office. Along with competitive pay, we provide comprehensive benefits, flexible schedules, and insurance options to promote long-term health and personal growth. Our creative, collaborative office environment in Philadelphia is designed for agility, complete with writable walls and breakout spaces. Remote teammates stay connected through innovative collaboration tools and regular opportunities for in-person interaction. We celebrate diversity and foster a culture where everyone belongs. Proscia is proud to be an equal-opportunity workplace.

Data Engineer, Data Products AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary, and identify opportunities for physicians to better serve their patients. Each year, the FDA approves ~6,000 new medical devices. Our platform helps MedTech companies get these products to physicians more effectively so they can improve patient care with the latest technology. We're backed by Benchmark, Redpoint, ICONIQ Growth, and Ajax Health. In this role, you will build and refine AcuityMD's data assets and products and you will extend our data product offerings. You will build new data and intelligence products, improve the quality and interpretability of existing data products, and deliver high confidence and repeatable intelligence that fuels our MedTech-specific modules. You will report to the Engineering Manager, Data, and work cross-functionally with engineering, product, and other teams. Team Mission The Data Team is on a mission to represent medical reality by transforming raw data into assets that directly generate sales for our customers and help to bring cutting edge medical technology to the patients that need it most. We thrive on the challenge of turning complexity into simplicity and driving the continuous growth of our products. We acquire terabytes of data from diverse sources, and refine them with modern data processing tools and machine learning algorithms. This shapes the future of our products and delivers value to the customers. Responsibilities Model new data and improve existing data products with quantitative rigor that solve customer problems and ensure correctness and interpretability Transform and integrate raw data from multiple sources into usable, documented and high quality data and intelligence products by applying data modeling and statistical techniques Work directly with product managers and cross-functional stakeholders to design solutions, validation frameworks and statistical benchmarks Document and communicate technical and quantitative concepts, schemas, and data product usage guidelines for internal stakeholders Develop and maintain batch data pipelines using Python and SQL with automated quality check Your Profile You have 2+ years of experience working in a data or analytical role building data or doing quantitative analysis of data Excellent problem-solving skills and ability to apply math/statistics to data problems You communicate business concepts, technical requirements, recommendations and code clearly and concisely You have built data transforms and pipelines in any capacity using a programming language such as Python You have demonstrated ability to explore, transform, and analyze data in a any type of relational database using SQL Nice to Haves Familiarity across our data stack - BigQuery, Google Cloud Storage, dbt & Dagster Familiarity with healthcare billing/data Familiarity with dimensional modeling Familiarity with incorporating LLM models into development workflows AcuityMD is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, market data and may vary from the range provided. Base salary range: $120,000-$165,000 You must have an eligible work permit in the USA or Canada to be considered for this position. We Offer: Remote work: AcuityMD is committed to supporting full-remote flexibility for employees in the US. We provide a work-from-home stipend for all employees. Flexible PTO: Generous time off and flexible hours give you the freedom to do your best work. Paid Health, Dental, and Vision Plans: We offer 100% paid health, dental, and vision plans for all employees and 75% paid for our employees' dependents. Home Office Stipend: $1,000 to invest in remote office equipment and WiFi reimbursement. Learning Budget: Reimbursements for relevant learning and up-skilling opportunities. Optional Team Retreats: We meet in-person multiple times per year for co-working and social gatherings. Parental Leave: 6-12 weeks of fully-paid, flexible parental leave. Ground floor opportunity: Join a high-growth startup, backed by world-class investors across Enterprise SaaS and Medical Devices (Benchmark, Redpoint Ventures, and Ajax Health). Competitive compensation with equity upside. Who We Are: The Company: We are builders, who are inspired by our mission to expand patient access to cutting-edge medical technologies. We value working collaboratively to solve hard problems for our customers with simple, innovative solutions. We push ourselves to learn with empathy. We foster an active culture of mentorship and inclusion, and we welcome new team members that share our values. We're backed by Benchmark, Redpoint Ventures, Ajax Health, and several other leading software and medical device investors. Since Acuity launched in 2020, we've brought on customers ranging from publicly traded Fortune 500 companies to innovative growth-stage companies and regional medical device distributors. The Product: AcuityMD uses data and software to help teams collaborate around the complex relationships they have with the users of medical technologies: doctors. Our platform empowers medical technology companies to see how their products are used, understand why outcomes vary, and identify opportunities where physicians or sites of care can better serve their patients. AcuityMD is an Equal Opportunity Employer AcuityMD is seeking to create a diverse work environment because all teams are stronger with different perspectives and life experiences. We strongly encourage people of all backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of AcuityMD are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.

The Opportunity Join our dynamic team as a Data Software Engineer – Corporate Technology Data Engineering & Analytics, where you'll play a pivotal role in leading the design, development, and administration of complex AWS environments and contribute to enterprise-wide data initiatives. The ideal candidate will bring experience working with global delivery teams, demonstrate thought leadership in data architecture, and actively mentor junior engineers to build internal capability. The Team You’ll be an integral part of our esteemed Corporate Technology Team, focused on Data Engineering & Analytics. Our team operates on a global scale, driving innovation and excellence across diverse areas of expertise. As a Senior Business Systems Analyst, you'll play a pivotal role in high impact Corporate Technology Finance Initiatives, ensuring alignment with organizational objectives and driving impactful outcomes. This is an opportunity to collaborate closely with our Corp Technology leadership team as well as our CFO customers. Our team thrives on collaboration, innovation, and a shared commitment to excellence. Together, we're shaping the future of technology within our organization and making a lasting impact on a global scale. Join us and be part of a dynamic team where your contributions will be valued and your potential unleashed. The Impact: Lead the design, development, and deployment of end-to-end data engineering solutions on AWS, ensuring scalability, performance, and security. Administer and manage a broad range of AWS services such as EC2, S3, Glue, Lambda, IAM, and more in a production environment. Develop and maintain infrastructure as code using tools like AWS CloudFormation or Terraform. Design and orchestrate complex data pipelines using Apache Airflow or AWS Step Functions to enable reliable ELT/ETL processes. Implement data quality checks, monitoring, and alerting to ensure data integrity and reliability. Optimize data workflows for performance and cost-efficiency in the cloud. Drive the implementation of Operational Data Store (ODS) patterns and integrate with downstream data warehouse and analytics layers. Collaborate with global delivery teams across time zones to deliver high-quality, well-documented solutions on schedule. Develop and evaluate proof-of-concepts (POCs) for AWS-native and third-party tool integrations (e.g., Databricks, Snowflake). Conduct architecture reviews, provide code-level guidance, and establish best practices across cloud, data, and DevOps efforts. Mentor junior engineers and support team skill development through peer reviews, technical coaching, and design sessions. Participate in roadmap planning and contribute to long-term data platform strategy and technology selection. Ensure compliance with data governance, security, and operational standards across all engineering activities. The Minimum Qualifications Bachelor ’ s in Computer Science, Engineering or related technical field 8+ years of experience building and managing Cloud solutions preferably in the AWS ecosystem, including infrastructure and data services 2+ years experience with understanding of data warehousing concepts, ODS, dimensional modeling, and scalable architecture design 2+ years experience with Terraform, Apache Airflow, Databricks or Snowflake in a production or large-scale prototype environment 2+ years experience in Python, SQL, and automation scripting 2+ years experience with containerization (Docker, ECS, EKS) The Ideal Qualifications Master ’ s degree in Computer Science, Engineering or related field AWS Certifications (Solutions Architect, Data Analytics, or DevOps Engineer). Knowledge of streaming data technologies (e.g., Kinesis, Kafka) Exposure to data lake and data warehouse architectures Experience with monitoring and observability tools (e.g., CloudWatch, Datadog, Prometheus) Exposure to machine learning pipelines and MLOps tools (e.g., SageMaker, MLflow, Kubeflow) Demonstrated experience working with global delivery teams and cross-functional stakeholders Strong communication skills with a proven ability to work across functional teams Experience with data lake architecture, data governance frameworks, and modern metadata management Familiarity with modern DevOps practices including CI/CD pipelines, monitoring, and alerting in cloud environments Experience with data cataloging tools (e.g., AWS Glue Data Catalog, Apache Atlas) Understanding of data privacy regulations and compliance (e.g., GDPR, HIPAA) Exceptional communication and interpersonal skills Ability to influence and motivate teams without direct authority Excellent time management and organizational skills, with the ability to prioritize multiple initiatives #LI-RK1 Salary Range: $134,400.00-$176,400.00 At MassMutual, we focus on ensuring fair equitable pay, by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. Why Join Us. We’ve been around since 1851. During our history, we’ve learned a few things about making sure our customers are our top priority. In order to meet and exceed their expectations, we must have the best people providing the best thinking, products and services. To accomplish this, we celebrate an inclusive, vibrant and diverse culture that encourages growth, openness and opportunities for everyone. A career with MassMutual means you will be part of a strong, stable and ethical business with industry leading pay and benefits. And your voice will always be heard. We help people secure their future and protect the ones they love. As a company owned by our policyowners, we are defined by mutuality and our vision to put customers first. It’s more than our company structure – it’s our way of life. We are a company of people protecting people. Our company exists because people are willing to share risk and resources, and rely on each other when it counts. At MassMutual, we Live Mutual. MassMutual is an Equal Employment Opportunity employer Minority/Female/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply. Note: Veterans are welcome to apply, regardless of their discharge status. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. At MassMutual, we focus on ensuring fair, equitable pay by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. For more information about our extensive benefits offerings please check out our Total Rewards at a Glance.

The Enterprise Data Management (EDM) organization is responsible for Neuberger Berman's VantageIQ data platform, the foundation of the firm's data product and analytics strategy. We are seeking a senior data cloud engineer to lead the design, development, and deployment of scalable, reusable data pipelines and data products, with a focus on building semantic data layers to empower business stakeholders and AI-driven analytics across the asset management domain. The successful candidate will collaborate closely with business and technology teams to translate complex data requirements into robust, cloud-native engineering solutions, leveraging modern data engineering practices and advanced automation frameworks. Responsibilities: Partner with business stakeholders and technology teams to gather and analyze requirements, identify data engineering challenges, and translate them into robust data pipeline and data product solutions. Architect, develop, and maintain scalable data pipelines and semantic data layers in Snowflake, dbt, and other cloud-native platforms, ensuring modularity and reusability across diverse analytics and AI initiatives. Design and build semantic layers to enable self-service analytics, advanced reporting, and seamless integration with AI-powered data analyst solutions. Develop and optimize ETL/ELT workflows using modern data stack technologies (e.g., dbt, Python, Snowflake), ensuring high reliability, scalability, and performance. Integrate and automate AI data analyst capabilities on top of semantic data layers and data products, driving innovative use cases for insight generation and business automation. Enhance data models (relational, dimensional, and semantic) to support advanced analytics, and AI driven data applications. Contribute to the evolution of data platform architecture, including data fabric and centralized data access automation. Promote and uphold data engineering best practices, standards, and data governance throughout the organization. Implement CI/CD pipelines and best practices for data engineering assets, supporting robust deployment, monitoring, and version control. Collaborate cross-functionally with Data Governance, Data Platform, and AI teams to deliver high-impact data solutions. Qualifications: Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field. 10+ years of experience in data engineering, cloud data platform development, or analytics engineering roles. Deep experience designing, building, and optimizing data pipelines, semantic layers, and cloud-native data products, preferably Snowflake, dbt, Dremio. Advanced proficiency in SQL and Python with extensive hands-on experience with modern data engineering tools and frameworks such as Spark, Airflow, and cloud-native services (Snowflake, AWS) Experience developing and deploying containerized data solutions using Docker and Kubernetes would be preferable. Proven ability to architect and maintain semantic data layers, ETL/ELT workflows, and integrate cloud data platforms for AI and analytics use cases. Familiarity with semantic layer concepts, data modeling (relational, dimensional, and semantic), and AI enablement on data products. Experience with data fabric architectures and centralized data access automation is a plus. Proficiency in enterprise technology tools such as Azure DevOps, Azure Git, and Airflow. Excellent attention to detail, organizational skills, and ability to prioritize work in a dynamic, deadline-driven environment. Demonstrated ability to take ownership, work independently and as part of a team, and continuously learn new technologies. Experience with BI/visualization tools (Tableau, Power BI) is a plus but not the primary focus. Nice to have: Experience with Trading / IBOR / ABOR systems like Statestreet, Aladdin, Charles River, etc. #LI-DD2 #LI- Hybrid Compensation Details The salary range for this role is $125,000-$165,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. This range is only applicable for jobs to be performed in the job posting location. An employee's pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue-based metrics, market benchmarking data, any collective bargaining agreements, and business or organizational needs. This job is also eligible for a discretionary bonus, which, along with base salary and retirement contributions, is part of our total comprehensive package. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), life insurance and other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, production, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Neuberger Berman is an equal opportunity employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact onlineaccommodations@nb.com. Learn about the Applicant Privacy Notice.

Job Family: Data Science Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public Trust What You Will Do: We are seeking an experienced Data Warehouse Architect to join our growing AI and Data practice, with a dedicated focus on the Federal Civilian Agencies (FCA) market within the Communities, Energy & Infrastructure (CEI) segment. This individual will be a hands-on technical leader, responsible for designing and delivering modern data warehouse solutions that enable federal clients to achieve mission outcomes, operational efficiency, and digital transformation. This is a strategic delivery role for someone who thrives at the intersection of data architecture, cloud platforms, and public sector modernization. The Data Warehouse Architect will collaborate with cross-functional teams and client stakeholders to modernize legacy environments, implement scalable data pipelines, and support advanced analytics initiatives. Client Leadership & Delivery Serve as a trusted technical advisor to FCA clients on data architecture and modernization strategy. Lead engagements from assessment through implementation, ensuring delivery excellence and measurable outcomes. Translate complex business and technical requirements into actionable data warehouse solutions using platforms such as Databricks, Tableau, and Azure/AWS/GCP. Solution Development & Innovation Architect and implement scalable data pipelines and models using Databricks and other modern platforms. Rationalize legacy BI environments and design future-state architectures aligned with client goals. Ensure compliance with federal data governance, security, and performance standards. Practice & Team Leadership Mentor and guide multidisciplinary teams including data engineers, analysts, and consultants. Support recruiting, onboarding, and talent development within the AI & Data practice. Foster a culture of innovation, collaboration, and continuous learning. What You Will Need: US Citizenship is required Bachelor's degree is required. Minimum SEVEN (7) years of experience in data architecture, data engineering, and analytics. Minimum FIVE (5) years of experience delivering data-driven transformation programs. Strong understanding of data platforms including Databricks, Tableau, and cloud environments (Azure, AWS, GCP). Demonstrated experience supporting the business development lifecycle, including capture and proposal activities. Proven track record of leading large-scale data modernization efforts from concept to execution. Ability to collaborate across technical and business audiences, from C-suite to engineering teams. Excellent communication, facilitation, and relationship-building skills. What Would Be Nice To Have: Master's Degree. Certifications in AI/LLM or cloud data platforms. Experience working with FCA clients such as DOT, GSA, USDA, or similar. Familiarity with federal contracting and procurement processes. The annual salary range for this position is $149,000.00-$248,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Description: We're actively seeking a talented Lead Data Engineer to join our Pacific Life Team in Newport Beach, CA. We are looking for self-starters to help shape the future of data engineering and drive data-driven success. As a Lead Data Engineer you'll move Pacific Life, and your career forward by leading the design and delivery of data engineering products that enable our Finance business teams to be more data-driven. These data solutions will capture, manage, store and utilize structured and semi-structured data from internal and external sources including Finance, Sales, Underwriting, Policy Admin, Claim and other core business areas. How you'll help move us forward: Partnering with data architects, analysts, engineers, and business stakeholders to understand data requirements and deliver solutions in an effective manner. Build scalable & reliable solutions with robust security, quality, performance and governance protocols Deliver solutions aligned with modern target state architecture and cloud-based technologies Create and maintain high-level and detailed design artifacts that support data engineering solutions Lead creation and maintenance of automated and scalable test, build and deploy workflows aligned with modern CI/CD practices Promoting a culture of continuous improvement and agile methodologies. Lead code reviews to ensure data engineering standards and best practices are followed Demonstrate adaptability, initiative and attention to detail through deliverables and ways of working The experience you bring: Bachelor's degree in computer science, information systems, mathematics, analytics or related field. 8+ years of experience in analysis, design, development, and delivery of data 8+ years of experience and proficiency in SQL, ETL, ELT, leading cloud data warehouse technologies, and data management tools Understanding data engineering best practices and data integration patterns 4+ years of experience with DevOps and CI/CD 1+ years of experience (not just POC) in using Git and Python Experience in agile methodologies. Effective communication & facilitation; both verbal and written Team-Oriented: Collaborating effectively with team and stakeholders Analytical Skills: Strong problem-solving skills with ability to break down complex data solutions What makes you stand out: 2+ years of experience in Snowflake, Data Build Tool (DBT), Matillion Experience with automation, optimization and innovation in data management and batch cycle environments Understanding of data catalogs, glossary, data quality, and effective data governance Financial services domain knowledge Data driven individual with ability to set up effective processes in your sphere of ownership Strong communication with the ability to translate business requirements into technical specifications Experience delivering Finance domain data engineering solutions Experience with Control M orchestration tool #LI-DW1 You can be who you are. People come first here. We're committed to an inclusive workforce. Learn more about how we create a welcoming work environment at www.pacificlife.com. What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife. Benefits start Day 1. Your wellbeing is important. We're committed to providing flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. Prioritization of your health and well-being including Medical, Dental, Vision, and a Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents Generous paid time off options including Paid Time Off, Holiday Schedules, and Financial Planning Time Off Paid Parental Leave as well as an Adoption Assistance Program Competitive 401k savings plan with company match and an additional contribution regardless of participation. Base Pay Range: The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $148,230.00 - $181,170.00 Your Benefits Start Day 1 Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off Paid Parental Leave as well as an Adoption Assistance Program Competitive 401k savings plan with company match and an additional contribution regardless of participation EEO Statement: Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

Why Housecall Pro? Help us build solutions that build better lives. At Housecall Pro, we show up to work every day to make a difference for real people: the home service professionals that support America's 100 million homes. We're all about the Pro, and dedicate our days to helping them streamline operations, scale their businesses, and-ultimately-save time so they can be with their families and live well. We care deeply about our customers and foster a culture where our company, employees, and Pros grow and succeed together. Leadership is as focused on growing team members' careers as they expect their teams to be on creating solutions for Pros. Role Overview: As a Specialist, Data Operations at Housecall Pro, you're a meticulous data steward, ensuring the precision and completeness of our data. You are self motivated, with the ability to work autonomously. You're adept at identifying and resolving data anomalies, diving deep to tackle root causes. Your thirst for learning and commitment to accuracy make you an invaluable asset to our data operations team. Our team is patient, empathetic, hard working, and above all else focused on improving the lives of our service professionals (our Pros). Our success is their success. What you'll be each day: Analyze source and quality of data, identify potential issues and develop custom data migration action plan Resolve data migration issues and provide technical support for the data migration process Communicate consistent trends and opportunities to our product/engineering team for future improvements Create and maintain internal and external process documentation Communicate client information, trends and feedback cross-functionally Innovate on current processes and proactively seek ways to improve the Pro experience Qualifications: Bachelor's degree preferred 2-4 years of full-time customer success, implementation, engineering or data implementation experience Intermediate knowledge and experience with Microsoft Office Suite with proficiency in Excel or Google Sheets Experience with SQL a plus Experience using or developing with conversational AI platforms (such as- ChatGPT, GPT-based tools, or other NLP models) a plus Demonstrated experience exceeding customer success or sales metrics Proven success working with cross-functional teams and building strong relationships internally and externally What will help you succeed: Meticulous attention to detail Excellent written/verbal communication skills Strong critical thinking and problem-solving skills Adaptability, drive, and a self-starting attitude Ability to excel in a fast-paced, team environment Founded in 2013, Housecall Pro helps home service professionals (Pros) streamline every aspect of their business. With easy-to-use tools for scheduling, dispatching, payments, and more, Housecall Pro enables Pros to save time, grow profitably, and provide best-in-class service. Housecall Pro's brand portfolio includes Business Coaching by Housecall Pro, a business coaching solution for home services businesses. Our brands are united by a singular mission to champion our Pros to success. We support more than 40,000 businesses and have over 1,800 ambitious, mission-driven, genuinely fun-loving employees across the United States and all over the world. If you want to do work that impacts real people, supported by a team that will invest in you every step of the way, we'd love to hear from you. Housecall Pro celebrates diversity and we are committed to creating an inclusive environment. We are an equal opportunity employer and do not discriminate on the basis of gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. #LI-remote Location Dependent information This role is open to candidates and the expected compensation range for this role is $21.55-$25.35 / hour + 10% variable. The specific hourly rate for the successful candidate will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible to participate in Housecall Pro's the following benefits: health care insurance (medical, dental, vision, disability), employee assistance program, 401(K), flexible time off, paid parental leave, tech reimbursement, and other company benefits. Housecall Pro is growing fast and we're scaling our team to help enable and accelerate our growth. Privacy Notice for California Job Candidates- Housecall Pro #LI-Remote

The Opportunity Join our dynamic team as a Data Software Engineer - Corporate Technology Data Engineering & Analytics, where you'll play a pivotal role in leading the design, development, and administration of complex AWS environments and contribute to enterprise-wide data initiatives. The ideal candidate will bring experience working with global delivery teams, demonstrate thought leadership in data architecture, and actively mentor junior engineers to build internal capability. The Team You'll be an integral part of our esteemed Corporate Technology Team, focused on Data Engineering & Analytics. Our team operates on a global scale, driving innovation and excellence across diverse areas of expertise. As a Senior Business Systems Analyst, you'll play a pivotal role in high impact Corporate Technology Finance Initiatives, ensuring alignment with organizational objectives and driving impactful outcomes. This is an opportunity to collaborate closely with our Corp Technology leadership team as well as our CFO customers. Our team thrives on collaboration, innovation, and a shared commitment to excellence. Together, we're shaping the future of technology within our organization and making a lasting impact on a global scale. Join us and be part of a dynamic team where your contributions will be valued and your potential unleashed. The Impact: Lead the design, development, and deployment of end-to-end data engineering solutions on AWS, ensuring scalability, performance, and security. Administer and manage a broad range of AWS services such as EC2, S3, Glue, Lambda, IAM, and more in a production environment. Develop and maintain infrastructure as code using tools like AWS CloudFormation or Terraform. Design and orchestrate complex data pipelines using Apache Airflow or AWS Step Functions to enable reliable ELT/ETL processes. Implement data quality checks, monitoring, and alerting to ensure data integrity and reliability. Optimize data workflows for performance and cost-efficiency in the cloud. Drive the implementation of Operational Data Store (ODS) patterns and integrate with downstream data warehouse and analytics layers. Collaborate with global delivery teams across time zones to deliver high-quality, well-documented solutions on schedule. Develop and evaluate proof-of-concepts (POCs) for AWS-native and third-party tool integrations (e.g., Databricks, Snowflake). Conduct architecture reviews, provide code-level guidance, and establish best practices across cloud, data, and DevOps efforts. Mentor junior engineers and support team skill development through peer reviews, technical coaching, and design sessions. Participate in roadmap planning and contribute to long-term data platform strategy and technology selection. Ensure compliance with data governance, security, and operational standards across all engineering activities. The Minimum Qualifications Bachelor's in Computer Science, Engineering or related technical field 8+ years of experience building and managing Cloud solutions preferably in the AWS ecosystem, including infrastructure and data services 2+ years experience with understanding of data warehousing concepts, ODS, dimensional modeling, and scalable architecture design 2+ years experience with Terraform, Apache Airflow, Databricks or Snowflake in a production or large-scale prototype environment 2+ years experience in Python, SQL, and automation scripting 2+ years experience with containerization (Docker, ECS, EKS) The Ideal Qualifications Master's degree in Computer Science, Engineering or related field AWS Certifications (Solutions Architect, Data Analytics, or DevOps Engineer). Knowledge of streaming data technologies (e.g., Kinesis, Kafka) Exposure to data lake and data warehouse architectures Experience with monitoring and observability tools (e.g., CloudWatch, Datadog, Prometheus) Exposure to machine learning pipelines and MLOps tools (e.g., SageMaker, MLflow, Kubeflow) Demonstrated experience working with global delivery teams and cross-functional stakeholders Strong communication skills with a proven ability to work across functional teams Experience with data lake architecture, data governance frameworks, and modern metadata management Familiarity with modern DevOps practices including CI/CD pipelines, monitoring, and alerting in cloud environments Experience with data cataloging tools (e.g., AWS Glue Data Catalog, Apache Atlas) Understanding of data privacy regulations and compliance (e.g., GDPR, HIPAA) Exceptional communication and interpersonal skills Ability to influence and motivate teams without direct authority Excellent time management and organizational skills, with the ability to prioritize multiple initiatives #LI-RK1 Salary Range: $134,400.00-$176,400.00 At MassMutual, we focus on ensuring fair equitable pay, by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. Why Join Us. We've been around since 1851. During our history, we've learned a few things about making sure our customers are our top priority. In order to meet and exceed their expectations, we must have the best people providing the best thinking, products and services. To accomplish this, we celebrate an inclusive, vibrant and diverse culture that encourages growth, openness and opportunities for everyone. A career with MassMutual means you will be part of a strong, stable and ethical business with industry leading pay and benefits. And your voice will always be heard. We help people secure their future and protect the ones they love. As a company owned by our policyowners, we are defined by mutuality and our vision to put customers first. It's more than our company structure - it's our way of life. We are a company of people protecting people. Our company exists because people are willing to share risk and resources, and rely on each other when it counts. At MassMutual, we Live Mutual. MassMutual is an Equal Employment Opportunity employer Minority/Female/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply. Note: Veterans are welcome to apply, regardless of their discharge status. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need. At MassMutual, we focus on ensuring fair, equitable pay by providing competitive salaries, along with incentive and bonus opportunities for all employees. Your total compensation package includes either a bonus target or in a sales-focused role a Variable Incentive Compensation component. For more information about our extensive benefits offerings please check out our Total Rewards at a Glance.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. The NVIDIA Operations organization is seeking an expert technology professional for the position of Senior Data Engineering to support initiatives for the Operations Data Platform, Reporting, and Analytics Organization. As a Data Engineering Developer in our team, you will be an integral part of the team in Operations building the Quality Platform which will turn data into information leading to insights and business results. What you’ll be doing : Implement End-to-End Quality Data platform solutions for our Datacenter products. Build data pipelines that are used to transport data from a data source to the data lake. Analyze and organize raw data Build data systems and pipelines ensuring that data sources, ingestion components, transformation functions, and destination are well understood for implementation Interpret trends and patterns by performing complex data analysis Prepare data for prescriptive and predictive modeling by making sure that the data is complete, has been cleansed, and has the necessary rules in place Build algorithms and prototypes Develop analytical tools and programs Collaborate with data scientists and architects on projects Evaluate business needs and objectives to ensure the organization can access the raw data What we need to see : Bachelor’s or master's degree (or equivalent experience) in computer science or information system, or equivalent experience with programming knowledges (i.e Python, Java, etc) 8+ years of experience in data and database management that includes data pipeline responsibilities in replication and mass ingestion, streaming, API and application and data integration. Experience developing and maintaining data warehouses in big data solutions. Experience with several ecosystems like Azure, AWS, and Hadoop environments. You have built required infrastructure for optimal extraction, transformation, and loading of data from various sources using AWS, Azure, SQL or other technologies. Knowledgeable in Databricks, Splunk, or Snowflake solutions Knowledge of data analytics/mining and segmentation techniques Communicate effectively with business users and translate business needs into technology solutions Ability to connect with all team members successfully and effectively. High energy with positive problem-solving attitude, and multi-task and strong organization skills. Strong analytical skills with the ability to collect, organize, and disseminate significant amounts of information with attention to detail and accuracy Knowledge in operational processes in semi-chips, boards, systems, and servers with a view of data landscape. Ways to stand out from the crowd : Strong ability to drive continuous improvement of systems and processes. Self-starter, self-confident individual with integrity and accountability, highly motivated, driven, high-reaching, and attracted to a meaningful opportunity. A proven ability to work in a fast-paced environment where strong organizational skills are essential. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most experienced and dedicated people in the world working for us and, due to unprecedented growth, our elite engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology leadership, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 264,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 14, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

About Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, Sam Altman, John Doerr, Spark Capital, SV Angel Growth, and others. You can read more at the following links: Our Vision for AI in Pharma Our Current Drug Portfolio Our Technology & Platform At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently. About the Position Formation Bio is seeking a hands-on technical leader to shape the future of our Data Curation team. This role is ideal for someone passionate about modeling, harmonizing, and unifying complex biomedical and healthcare data into high-quality, stakeholder-ready assets. You'll lead efforts to transform structured, semi-structured, and unstructured data into trusted, interoperable models that power analytics, product development, and scientific decision-making across the company. This is a high-impact role for a builder who thrives on technical depth, ontology-driven modeling, and architectural leadership. You'll set standards for how Formation Bio integrates healthcare and life sciences ontologies across diverse datasets, and you'll guide the design of the technical stack that enables interoperability, reuse, and long-term usability of curated data assets. You'll partner closely with domain experts in areas like claims, EHR, and biomedical research - ensuring their deep knowledge is translated into consistent, governed, and reusable data products. Responsibilities Technical Leadership & Strategy Define and communicate technical direction for the Data Curation team. Drive the architecture and technical stack for ontology-driven harmonization across healthcare and pharmaceutical datasets. Partner with domain experts (claims, EHR, pharma, research) to align technical standards across diverse datasets. Mentor engineers in best practices for modeling, ontology integration, and scalable curation workflows. Data Modeling, Ontology-Driven Harmonization & Unstructured Integration Lead development of robust SQL/dbt models that unify complex healthcare and pharma datasets. Apply healthcare and biomedical ontologies (e.g., SNOMED, RxNorm, UMLS, Mondo, OMOP, FHIR) to ensure interoperability and consistent integration. Design scalable workflows for ontology alignment, normalization, and harmonized data product creation. Lead integration of unstructured data sources (clinical notes, publications, documents, scientific text) using NER, NLP, embeddings, and document parsing. Define patterns for linking structured and unstructured assets into a unified semantic layer that is easy to query, search, and consume. Establish standards for vector database usage and semantic search, ensuring embeddings and structured models are connected and interoperable. Knowledge Integration & Architecture Establish architectural patterns for managing ontology mappings, ontology-driven transformations, and harmonized knowledge assets. Define how graph-based and relational representations complement each other for interoperability. Collaborate with the Data Infrastructure team to align ingestion, orchestration, and governance frameworks with curation needs. Data Quality & Catalog Stewardship Enforce structural and semantic quality standards with automated checks and validation. Maintain and enrich the enterprise data catalog, ensuring curated datasets - structured and unstructured - are discoverable and well-documented. Capture and codify domain-specific knowledge into durable, governed data assets. About You 7+ years of experience in data engineering, semantic modeling, or data curation, with leadership experience in technical direction. Proven expertise in SQL/dbt modeling and integrating healthcare and biomedical ontologies. Hands-on experience with ontology-driven harmonization and data model integration across heterogeneous datasets. Strong background in data architecture and stack design, with the ability to define standards and paved paths. Experience working with unstructured data: entity extraction (NER), NLP, embeddings, or document parsing. Familiarity with vector databases, semantic search, and knowledge graph concepts - and how to connect these with structured datasets for unified consumption. Comfortable with Python, orchestration tools (Dagster, Airflow), and working with diverse data types. Skilled at collaborating with infrastructure teams to balance semantic integration with scalable foundational tooling. Excited to mentor others, set high standards, and drive alignment across a multidisciplinary team. Bonus points if you have: Experience with knowledge graph technologies (e.g., Neo4j, RDF/SPARQL, Cypher). Experience with healthcare and life sciences ontologies such as Mondo, OMOP, FHIR, SNOMED, RxNorm, UMLS. Experience harmonizing datasets from EHR, claims, or biomedical research domains. Contributions to enterprise data catalogs or metadata management frameworks. Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with additional growth in the Research Triangle (NC) and San Francisco Bay Area. Please only apply if you reside in these locations or are willing to relocate. Compensation: The target salary range for this role is: $220,000 - $280,000. Salary ranges are informed by a number of factors including geographic location. The range provided includes base salary only. In addition to base salary, we offer equity, comprehensive benefits, generous perks, hybrid flexibility, and more. If this range doesn't match your expectations, please still apply because we may have something else for you. You will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. #LI-hybrid

Senior Data Analyst Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes. ABOUT THE ROLE We are seeking a strong Senior Data Analyst with preferably prior industry experience in FinTech and the B2C/DTC domain. You will play a crucial role in leveraging data to drive strategic decisions, optimize business performance, optimize our customer interactions, and ensure a frictionless user experience. You will leverage advanced analytics to identify trends, measure performance, and provide strategic insights that support data-driven decision-making across the organization. RESPONSIBILITIES Analyze large datasets to identify trends, insights, and opportunities that drive business growth. Develop and maintain dashboards and reports to track key performance indicators (KPIs) across various business functions. Partner with cross-functional teams, including Product, Engineering, Marketing, and Customer Success, to implement data-driven solutions. Utilize predictive analytics and machine learning models to optimize business processes and customer engagement strategies. Conduct A/B testing and customer segmentation analysis to enhance decision-making and personalization strategies. Provide actionable insights to leadership on business performance, customer behavior, and operational trends. Ensure data integrity, accuracy, and governance across multiple data sources and platforms. Mentor junior analysts and contribute to a data-driven culture within the company. ABOUT YOU 5+ years of experience in data analytics, preferably in fintech, banking, or a technology-driven industry. Strong proficiency in SQL, Python, or R for data analysis and manipulation. Experience with data visualization tools such as Tableau, Looker, or Power BI. Expertise in business intelligence, forecasting, and performance analytics. Familiarity with machine learning techniques and predictive analytics is a plus. Strong understanding of A/B testing, customer segmentation, and retention strategies. Excellent problem-solving skills and the ability to translate complex data into actionable insights. Strong communication skills to effectively collaborate with technical and non-technical stakeholders. Additional Skills and Qualifications Experience with Looker or other business intelligence tools is preferred. Exposure to dimensional modeling concepts to power meaningful analytics. Ability to visualize data effectively and communicate insights clearly and concisely. Experience modeling data using dbt. Familiarity with machine learning techniques and predictive analytics is a plus. Experience working with Fintech, banks or a B2C company. This role has a base salary range of $150,000 - $200,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits. BENEFITS Competitive salary Meaningful equity in the form of stock options 401(k) plan Discretionary performance bonus program Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents Flexible time off and paid holidays Generous parental leave policy Commuter benefits Fitness benefits Healthcare and Dependent care FSA benefit Employee Assistance Programs focused on mental health Healthcare advocacy program for all employees Access to mental health apps Team building activities Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches

"I can succeed as the Global Director of Software and Data Engineering, Enterprise Data Office" As the Global Director of Software and Data Engineering, Enterprise Data Office (EDO), you will be at the helm of transforming how Capital Group leverages data to launch new products and investment strategies to the market and drive strategic growth. You will inspire and lead high-performing engineering teams to build innovative, scalable, and resilient software and data solutions that empower our global Operating Groups, including Investment Operations, ITG, and Global Finance, and the many stakeholders in the Investment Group and Client Groups they serve. You will lead in areas that are critical to Capital Group's market success, including product data management, client-facing data, and marketing/publishing data automation. This role is a unique opportunity to shape the future of both software and data engineering at Capital Group-where creativity meets strategy, and fun is part of the journey. You will partner with senior leaders across the enterprise to align technology investments with business priorities, champion a culture of engineering excellence, and foster an environment where diverse perspectives and continuous learning thrive. "I am the person Capital Group is looking for" You are a visionary leader who will inspire a team of 100+ associates and contractors to innovate and deliver with purpose. You have a proven track record of leading large-scale engineering organizations, complex initiatives that require transformational change, and developing future leaders. You foster a culture of inclusion, collaboration, and continuous improvement, instilling engineering rigor and discipline in your teams. You are a strategic thinker who connects the dots between strategic business outcomes and data and technology solutions. You demonstrate clear vision and experience in delivering user experiences and apps that delight end users and make data accessible in compelling and dynamic manners You lead with empathy and empower teams to take ownership and drive results. You are passionate about modern engineering practices, AI and data-driven decision making in fast paced organizations. You are a demonstrated leader, preferably with deep experience in Asset Management, with expertise in product data and analytics, Investment Operations and market-facing demands. You are a strong communicator who builds trust and alignment across diverse stakeholder groups, employing strong relationship management and influence. You thrive in a dynamic environment and are energized by solving the most complex challenges facing the Buy Side Asset Management industry. You present plans clearly to executives, including the EDO Leadership team, linking them to broader strategies and promoting partnership. You are excited to shape the future of EDO's structure, processes and operating model in a way that provides clarity and reinforces accountability. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. 15+ years of experience in software and data engineering or AI/data science, with at least 5 years in senior leadership roles. Demonstrated success in leading global, cross-functional engineering teams. Deep expertise in modern data and software engineering platforms and practices (e.g., cloud-native architectures, modern application design, CI/CD, DevOps, data mesh). Experience driving enterprise-wide technology transformations and delivering measurable business impact. Strong expertise in the Financial Services and Asset Management industries and ability to influence at all levels of the organization. Commitment to developing talent and building high-performing, diverse teams. Experience with platforms and tools such as AWS, Azure, Python, Spark, Airflow, Kubernetes, DBT, Databricks, and modern front-end frameworks. Southern California Base Salary Range: $254,648-$432,902 New York Base Salary Range: $269,961-$458,934 In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings. You can learn more about our compensation and benefits here. Temporary positions in Canada and the United States are excluded from the above mentioned compensation and benefit plans. We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI As a member of the C3 AI Data Science team, you will work with some of the largest companies on the planet to help them build the next generation of AI-powered enterprise applications. You will collaborate directly with data scientists, software engineers, and subject matter experts in defining new AI solutions that provide our customers (c3.ai/customers/) with the information they need to make informed decisions and enable their digital transformation. Your role will involve finding the appropriate machine learning algorithms and implementing them on the C3 AI Platform to ensure they can run at scale. C3 AI Data Scientists are equipped with modern development tools, IDEs, and AI agents to maximize productivity and accelerate solution delivery.   Qualified candidates will have an in-depth knowledge of most common machine learning techniques and their application. You will also understand the limitations of these algorithms and how to tweak them or derive from them to achieve similar results at a large scale. Note: This is a client-facing position which requires travel. Candidates should have the ability and willingness to travel based on business needs. Responsibilities: Designing and deploying Machine Learning algorithms for industrial applications such as predictive maintenance, demand forecasting and process optimization. Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements. Driving adoption and scalability of Generative AI and Deep Learning systems within C3 AI’s products. Qualifications: MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Applied Machine Learning experience (regression and classification, supervised, self-supervised, and unsupervised learning).  Strong mathematical background (linear algebra, calculus, probability, and statistics). Proficiency in Python and objected-oriented programming, e.g. JavaScript Familiarity with key Python packages for data wrangling, machine learning, and deep learning such as pandas, sklearn, tensorflow, torch, langchain, etc. Ability to drive a project and work both independently and in a cross-functional team. Smart, motivated, can-do attitude, and seeks to make a difference in a fast-paced environment. Excellent verbal and written communication. Ability to travel as needed  Preferred Qualifications: Experience with scalable ML (MapReduce, Spark). Experience in Generative AI, e.g., Large Language Models (LLMs), embedding models, prompt engineering, and fine-tuning. Experience with reinforcement learning. A portfolio of projects (GitHub, papers, etc.). Experience working with modern IDEs and AI agent tools  as part of accelerated development workflows. C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.  California Base Pay Range $123,000 — $185,000 USD C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status. 

Join our team at Core One! Our mission is to be at the forefront of devising analytical, operational and technical solutions to our Nation's most complex national security challenges. In order to achieve our mission, Core One values people first! We are committed to recruiting, nurturing, and retaining top talent! We offer a competitive total compensation package that sets us apart from our competition. Core One is a team-oriented, dynamic, and growing company that values exceptional performance! Assist the Resources and Analysis Directorate in the development and documentation of detailed data requirements for application systems in a logical data model.  Develop the analysis, creation, acquisition, maintenance, and use characteristics of the data identified.  Ensure compliance with data management policies, guidance, and standards. Evaluate data reuse, data integration, and data compliance and develop strategies based on stewardship and authorities.  Develop physical schemas that address functional and technical requirements for the database including data sharing as appropriate.  Develop, construct, test, and maintain data architectures.  Develop information displays, decision briefings, analytical papers, and facilitate senior leader discussions.   Basic Qualifications: - 10 years of distributed experience with Operations Research and System Analysis (ORSA), Data Science, or Data Engineering - 5 years of experience in Data Engineering - Experience and proficiency in developing analytic methodologies, metrics, and decision criteria - Experience with data warehousing, data ingestion, and data profiling - Experience with data processing tools, in particular SQL and pandas - Experience in development within Python or other object-oriented languages - Experience in read, extract, transform, stage, and load data to create data pipelines - Ability to explore new tools and technologies that will help to improve ETL platform performance - TS/SCI clearance - M.A. or M.S. degree in OR, Data Science, Data Engineering, or Applied Mathematics preferred   Additional Qualifications: - Experience with Joint planning and military service a plus - Experience with the United States Central Command Area of Responsibility a plus - Experience with forecasting models a plus - Experience with cloud environments (Azure, AWS, etc.) a plus - Experience in Advana or Maven platforms a plus - Experience in developing and deploying data unit testing/data quality assessment tools a plus - Experience with preparing and presenting senior leadership briefings and papers a plus - Excellent oral and written communication skills a plus Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Core One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, or protected veteran status and will not be discriminated against on the basis of disability. __PRESENT

In-Person round of interview mandatory. Tech Stack: Big Data, Spark, Python, SQL, GCP is must. Need a hardcore, heavy hitting Data Engineer who is extremely skilled and is able to function independently and manage their deliverables Capable of writing ETL pipelines using Python from scratch Expert in OOP principles and concepts Ability to independently write efficient and reusable code for ETL pipelines Expert in data modeling concepts such as schemas and entity relationships Expert at analyzing and developing queries in SQL in various dialects (SQL Server, DB2, Oracle) Familiarity with Airflow and understands how to develop DAGs Expert in data warehouses like BigQuery, Databricks Deltalakehouse and how to programmatically ingest, cleanse, govern and report data out of them Expertise in Spark. Powered by JazzHR