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As an NRG employee, we encourage you to take charge of your career and development journey. We invite you to explore exciting opportunities across our businesses. You'll find that our dynamic work environment provides variety and challenge. Your growth is key to our ongoing success-take the lead in shaping your career development, goals and future! Job Summary The Senior Manager of Power Origination for Data Centers is a critical leadership role responsible for developing and executing power supply strategies for NRG's current and prospective data center clients. This individual will drive the origination process from lead generation through contract execution, focusing on securing long-term, competitive, and sustainable power solutions for hyperscale and colocation data center operators. This role requires deep expertise in wholesale power markets, an extensive network within the data center and energy industries, and a proven track record of structuring complex, large-load transactions. Key Responsibilities Strategic Origination and Business Development: Lead the development and implementation of the company's origination strategy for the data center sector, aligning with corporate growth, sustainability, and profitability targets. Proactively identify and cultivate new business opportunities by building and maintaining strong relationships with data center developers, operators, and key industry stakeholders. Represent the company at industry conferences, trade shows, and professional networks to enhance market presence and brand recognition. Transaction Structuring and Execution: Spearhead the end-to-end deal process, including initial proposal development, term sheet negotiation, and contract execution. Design and structure innovative power solutions that meet the unique needs of data center clients, including grid connection, bridge and prime generation and powered land. Lead the negotiation of complex legal and commercial terms with counterparties, coordinating with internal teams such as Legal, Credit, and Risk Management. Market and Financial Analysis: Conduct in-depth analysis of energy markets (e.g., ERCOT, PJM, NYISO, CAISO, ISO-NE, MISO), identifying trends, risks, and opportunities specific to large-load origination. Utilize advanced financial modeling skills to evaluate the economic viability, profitability, and risk of potential transactions. Provide expert insights on energy pricing, market dynamics, and regulatory changes to inform deal strategy and internal decision-making. Leadership and Cross-Functional Collaboration: Manage and mentor junior team members, fostering a high-performing and collaborative team environment. Act as the primary commercial lead for data center transactions, working closely with cross-functional teams including power trading, asset management, engineering, and finance to ensure seamless project delivery. Serve as the internal subject matter expert on data center energy procurement, providing guidance to leadership and other business units. Qualifications Education: Bachelor's degree in Finance, Business, Economics, Engineering, or a related field. An advanced degree (MBA) is highly preferred. Experience: 7+ years of experience in power origination, wholesale power markets, or a related commercial energy role. 3+ years of specific experience originating and executing power supply agreements for large-load, mission-critical customers, with a strong focus on the data center sector. Proven track record of success in "hunting" for and closing multi-year power transactions. Extensive network of contacts within the data center and energy industries, including developers, operators, and power marketers. Skills & Competencies: Deep expertise in power market fundamentals and an understanding of grid interconnection processes, transmission planning, and regulatory compliance. Superior financial modeling, valuation, and analytical skills. Exceptional negotiation and communication skills, with the ability to articulate complex concepts to both technical and non-technical audiences. Strong leadership capabilities with experience managing and developing teams. Ability to work independently and manage multiple complex projects simultaneously in a fast-paced environment. Proficiency in Microsoft Office Suite is required; experience with data analysis tools (e.g., Python, R) and CRM software (e.g., Salesforce) is a plus. NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Vet/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills. Official description on file with Talent. Nearest Major Market: Houston

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

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: None What You Will Do: We are seeking an experienced Associate Director to join our growing AI and Data practice, with a dedicated focus on commercial energy providers. This individual will be a hands-on leader, responsible for shaping and delivering AI- and data-driven transformations that enable utilities to achieve operational excellence, decarbonization goals, grid modernization, and customer-centric innovation. The Associate Director will oversee cross-functional teams and collaborate directly with client executives and business leaders to drive value through advanced analytics, data strategy, and AI-based solutions. This is a leadership role for someone who thrives at the intersection of technology, data, and industry strategy. Client Leadership & Engagement Serve as a trusted advisor to utility clients on AI and data strategy, including demand forecasting, asset analytics, grid optimization, and customer engagement. Lead client engagements end-to-end from strategy through implementation, ensuring delivery excellence and measurable business outcomes. Develop and maintain relationships with key clients and stakeholders. Solution Development & Innovation Design and lead AI/ML and analytics solutions using best-in-class tools and platforms. Translate business challenges into actionable use cases and scalable data and analytics products. Stay ahead of industry trends and emerging technologies to inform solution development. Team & Practice Leadership Support business development through proposal development, thought leadership, and strategic pursuits. Mentor and lead multi-disciplinary consulting teams including data scientists, engineers, and business consultants. Contribute to recruiting, talent development, and thought leadership within the practice. Industry & Domain Expertise Apply deep knowledge of the energy and utilities industry to shape strategies around DER integration, energy transition, grid modernization, regulatory compliance, and customer experience. Interpret regulatory and policy changes to identify opportunities for AI and data enablement. What You Will Need: Minimum SEVEN (7) years of experience of hands-on AI, data engineering, and analytics expertise Minimum FIVE (5) years of experience delivering data-driven transformation programs within the utilities or broader energy sector. Strong understanding of AI/ML technologies, data platforms (e.g., Snowflake, Databricks, AWS/GCP/Azure), and analytics methodologies. Demonstrated experience supporting the business development lifecycle, such as capture and proposal writing related activities. Proven track record of leading large-scale analytics and AI engagements from concept to execution. Demonstrated ability to source and lead the formation and execution of successful partnerships between and across major stakeholders including technology partners and business end-users. Proven ability to collaborate with audiences with a wide range of technical knowledge and at different levels of an organization, from the C-Suite (CIO, CISO, CDO) to a data engineer or data analyst. Ability to influence and motivate a team of data and AI specialists across a variety of functions to establish and deliver capabilities at scale. Excellent communication, facilitation, and relationship-building skills. What Would Be Nice To Have: Bachelor's degree Master's Degree in Data Engineering, Data Science, Artificial Intelligence, Computer Science, or related technical field AI/LLM Certifications Project Management Professional (PMP) 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 DPR Construction is seeking a strategic and detail-oriented Data Analyst to lead the development and management of our company-wide dashboards. This role will primarily focus on aggregating and summarizing key metrics from across the organization, with a special emphasis on dashboards that support our Enterprise Goals & Objectives and other strategic initiatives. This role will partner with our data analytics and engineering team members to identify the key metrics we want to move into our company-wide dashboards and assist in building the framework and consumption layers for ensuring our company-wide dashboards are aligned with more detailed workgroup specific dashboards. Responsibilities Strategic Partnership / Roadmap / Execution / Delivery Develop and maintain relationships with business stakeholders across all functional groups of DPR. Develop a deep understanding of their processes, tools, and goals, and be able to speak to how our developed KPIs speak to those goals. Create, maintain and communicate detailed schedules for this wide-ranging KPI development. Coordinate technical teams performing development of KPIs and communicate progress to business teams. Create, maintain and execute quality control and practices to ensure that we deliver accurate information to end-users Visualization / Storytelling: Work with stakeholders to understand and align on business requirements Create and maintain dashboards and Apps, as required Deliver actionable insights to improve business processes and drive strategic conversations Track and monitor usage metrics to understand and measure adoption/impact of analytics Complete Ad-Hoc Analysis as required Troubleshoot Issues / Failures: Identify root source of data integrity issues (report, DFL, data warehouse, source system) Troubleshoot and solution data integrity issues in visualization tool Data Modeling and ETL: Create complex data models in visualization tool, and make transformations as needed Query Data Warehouse using SQL to quickly analyze datasets Clean data, as required Identify potential new datasets to add to the Data Warehouse Identify potential new integrations between source systems and the Data Warehouse Work with Technical Analysts to build requirements for views in DBT and the data warehouse Documentation Work with Data Engineering in the development and maintenance of the data catalog Create and maintain documentation of queries, transformations, and refreshes for reports Security / Governance Follow, implement, and enhance data security and governance guidelines Create, maintain, and implement security for DFLs Review requests and grant access to DFLs, Reports, and Apps, as needed Create and maintain RLS in visualization tool, where needed Work with business stakeholders to understand and set security requirements, with regards to build access and view access Change Management Complete impact analysis on reports when changes are made to source systems or tables upstream Identify, quantify, and communicate impacts to stakeholders and customers Coordination / Collaboration / Prioritization Identify opportunities for data collaboration and integration between disciplines Coordinate alignment, as applicable, across other T&I groups Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing Participate in Focus Group meetings to align support functions Training / Data Literacy Train end-users on how to use and interpret information/insights on deployed dashboards/reports Train end-users on how to build reports themselves Provide "on-the-job' training to business stakeholders when needed Work with Data Engineering and others to develop and maintain tool for Self Service Analytics Increase data literacy of business stakeholders through targeted trainings and conversations Identify opportunities to improve data literacy throughout DPR Data SME Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users Ensure source of truth system(s) are identified and operational Qualifications Master's degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus five (5) years of experience in the application of data to solve problems, or Bachelor's degree in one of the above plus seven (7) years of experience. Proven track record of managing large-scale analytics projects spanning multiple functional groups. Experience guiding business partners (who may have limited experience with technology and data) through the process of KPI development. Construction Experience including knowledge of industry trends, terminology, and typical processes is strongly preferred. Passion for the use of data and business intelligence principles and their ability to optimize business outcomes. Proven track record of translating business pain points into data requirements and identifying and solving complex problems with data. Analytic skills, including data mining, evaluation, analysis, and visualization. Ability to create semantic data models and understand dependencies between source systems. Experience in data visualization/BI tools - Power BI required - including creating and maintaining dataflows. Experience with consuming APIs from the client side including REST and GraphQL. Experience with SQL scripting required. Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making. Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed. Demonstrated success in building trusted relationships with internal/external clients and customers. A drive to do what it takes to get the job done, including taking on different roles and responsibilities and adapting to changing environments. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at www.dpr.com/careers.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Annual Salary $115,000.00 - $260,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Encourage everyone to have a voice and invite opinion from all, including quieter members of the team. Deal effectively with ambiguous and unstructured problems and situations. Initiate open and candid coaching conversations at all levels. Move easily between big picture thinking and managing relevant detail. Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required. Contribute technical knowledge in area of specialism. Contribute to an environment where people and technology thrive together to accomplish more than they could apart. Navigate the complexities of cross-border and/or diverse teams and engagements. Initiate and lead open conversations with teams, clients and stakeholders to build trust. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 9 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates abilities and/or success in one or more of the following areas: Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse; Understanding of file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Implementing enterprise data solutions concepts such as Master Data Management, Data Governance and Enterprise Data Warehouse; Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (kubernetes/Docker, etc.); Possessing P&C Insurance industry experience, including a proven understanding of insurance data, underlying KPIs and how they are used; and, Understanding of Insurance product like Guidewire (PolicyCenter, BillingCenter, & ClaimsCenter). Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or strong consulting experience in strategy through execution projects; Leading the ideation and development of accelerators/prebuilt solutions that package leading practices and enable rapid deployment of high quality solutions for our clients; Leading and shaping the development of and execution of GTM strategy and industry specific offerings / assets; Leading the development and delivery of sales support materials for Data Integration opportunities, including delivery of client training and industry events; Acting as a subject matter specialist on Data architectures/tools/solutions, leveraging your knowledge and experience to meet client's needs; Leading and driving the sizing effort related to Data work, plan and build strong teams utilizing onsite/offshore mix, utilizing deployment models for efficient delivery of solution; Performing as a team leader by creating a positive environment, building team members based on coaching and mentoring, shaping next generation of Data Integration leaders; Monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members; and, Providing candid feedback in a timely manner and keeping leadership informed of progress and issue. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

About Ingredion: Join Ingredion, where innovation impacts lives worldwide! Without even realizing it, you've experienced our work in your favorite chocolate, your pet's food, the paper you write on, and your everyday snacks. As a global powerhouse across more than 60 industries, we harness the potential of natural ingredients to transform lives. Whether you're just starting your career or bringing years of experience, there's a place for you here to make a real difference. Be part of our team that values a wide range of perspectives and is committed to shaping a better world with every product we create. Location: Westchester, IL Workplace type: Hybrid We have an exciting opportunity for an ambitious student to join our Data & Analytics team for summer 2026! As the Data Analytics Intern, you will perform data engineering, data management, and analytics activities, using multiple tools and techniques, to ensure build out of a robust, resilient, and rationalized hybrid data ecosystem on Azure and Google Cloud platforms based on Ingredion's analytics governance guidelines as well as industry best practices. What you will do: Demonstrate understanding of Azure tools such as Data Factory, Analysis Services, Databricks, Power Apps, Power BI, Purview, etc. Demonstrate understanding of Google Cloud tools such as Big Query, PubSub, DataFlow, Cloud Composer, Cloud Run, Vertex AI platform, Dataplex, etc. Utilizing above skills to: Identify ingestion, storage, and processing needs in current analytics ecosystem, and develop or modify frameworks that to automate and parametrize these functions. Design and build a data catalog that includes business, technical, and operational metadata. Work closely across the teams and participate in project initiatives, making recommendations and troubleshooting technical issues and refining processes. What you will bring: Progress towards a bachelor's or master's degree program in Computer Science, Mathematics, Engineering, or a related field. Demonstrated programming skills in Python, SQL, and at least one ETL tool (like Google Cloud Dataflow, Azure Data Factory, Airflow, DataStage, Talend, or Informatica). Ability to analyze and profile data. A deep understanding of data engineering, platform engineering, data modeling, data management, and DevOps concepts. Ability to easily understand and debug complex data pipelines and logic to ingest, process, and store data. Familiarity with Google Cloud Platform (GCP) and/or Microsoft Azure platform. Preferably both. A methodical and a detail-oriented way of thinking. Ability to quickly learn new tool/technologies and must have strong communication and listening skills. Who you are: Proven ability to deliver under agreed upon deadlines Ability to work collaboratively with peers and others Solid teamwork skills and creative problem solving Desire to see and create results To be eligible for consideration, candidates must: Currently possess unrestricted authorization to work in the United States. Ingredion does not intend to sponsor work visas with respect to this position or to provide this position as OPT or CPT. Be a currently enrolled student in a Bachelor's or Master's degree program. If currently enrolled in an undergrad status, must have completed at least two years of coursework with status as a sophomore, junior or non-graduating senior. If you have completed your degree, please consider other opportunities with Ingredion, posted at ww.ingredion.com/careers. Why Join Ingredion? Discover why Ingredion is the ideal place to advance your career with our exception rewards and benefits package designed to help you thrive. Create the future with us and enjoy: Total Rewards Package - competitive hourly salary based on your degree program. Housing stipends offered to students relocating 51+ miles from the Ingredion work location Internship Program Events & Activities - programming catered toward career exploration, networking, and professional development - including the annual Capstone Summit at Ingredion HQ in Westchester, IL Intern Mentor Program - pairing with a mentor to guide development and integration in Ingredion's culture Involvement in Ingredion's Business Resource Groups - the conscience of the organization and an integral part to Ingredion's Inclusion & Belonging strategy Employee Recognition Program - a culture of real-time appreciation, with personalized recognition rewards globally Employee Discount Program - provides exclusive discounts on everyday products, services, and travel Pay Range: $22-25/hour #wayup We are an equal opportunity employer and value diversity at our company. Ingredion seeks to provide a work environment that is free from harassment and discrimination. We will not tolerate any form of discrimination based on race, color, religion, age, gender, gender identity, gender expression, national origin, ancestry, handicap or disability-mental or physical-marital status, sexual orientation, veteran status, disability resulting from military service, or any other classification protected by law ("protected classifications"). We are committed to establishing and maintaining a work environment where everyone is treated with dignity and respect. Ingredion provides accommodations to job applicants with disabilities throughout the hiring process. If a job applicant requires an accommodation during the application process or through the selection process, we will work with the applicant to meet the job applicant's accommodation needs. Relocation Available: Yes, Within Country This pay rate is not a guarantee of compensation or salary. Final base salary will be determined based on several factors which may include but are not limited to responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data and applicable bargaining agreement (if any). Benefits: Full-time roles are eligible for our comprehensive benefits package which includes medical, dental and vision coverage as well as a 401(k) plan with a competitive company match .

About Cubist Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. Job Description We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist's data services group is looking for a Data Scientist to join our dedicated team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. This exceptional individual will be a member of a small team of Data Scientists who play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. Job Responsibilities Identification of new data sets Engaging with vendors to understand characteristics of datasets Building processes and technology tools to ingest, tag and clean datasets Analysis of datasets to generate descriptive statistics and propose potential applications of data Research of potential "alpha signals" for presentation to Portfolio Managers Monitoring and enhancing the automated data collection and cleansing infrastructure Research on new technologies for improved data management and efficient retrieval Desirable Candidates Ph.D. in computer science, mathematics, physics, statistics or another disciplines involving rigorous quantitative analysis techniques At least 1 year of experience as a Data Scientist, quantitative researcher or in a similar role Experience working with large data sets, including classification, regression, distribution analysis, and predictive modeling Experience applying statistical tests to large data sets Programming skills in SQL, TSQL, SQL Server or PL-SQL Programming skills in Python and at least one of C#, C++, or Java Financial industry experience preferred but not required Experience dealing with intraday, tick and order book data a plus Strong problem solving skills Intellectual curiosity and a love of learning Attention to detail and a love of process Strong oral and written communication skills The annual base salary range for this role is $125,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Job Summary: WHO ARE WE? Live Nation Entertainment is the world's leading live entertainment and eCommerce company, comprised of four market leaders: Ticketmaster.com, Live Nation Concerts, Front Line Management Group and Live Nation Network. Ticketmaster.com is the global event ticketing leader and one of the world's top five eCommerce sites, with over 26 million monthly unique visitors. Live Nation Concerts produces over 20,000 shows annually for more than 2,000 artists globally. Front Line is the world's top artist management company, representing over 250 artists. These businesses power Live Nation Network, the leading provider of entertainment marketing solutions, enabling over 800 advertisers to tap into the 200 million consumers Live Nation delivers annually through its live event and digital platforms. For additional information, visit www.livenation.com/investors. WHO ARE YOU? Passionate and motivated. Driven, with an entrepreneurial spirit. Resourceful, innovative, forward thinking and committed. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on! THE TEAM Core Data Services team is at the center of Data and Analytics initiatives. We are building a modern data platform to support enterprise data needs. Our mission and yours too should you choose to, is to empower and enable our data community of data engineers, data scientists, analysts, product teams and decision makers to create value. The Core Data Services team consists of Platform Engineering, Data Engineering, Data Enablement and Operations teams. We are building a highly functional, performant modern enterprise Data Lake while supporting our current data platforms so the focus is on maximizing functionality, creating value and content/data assets, cost optimizations and usability of the data delivery and services and all this is our measure of our success and defines us The Core Data Services Team! We are looking for a Data Engineer - Platform, You! WHAT THIS ROLE WILL DO This is a hands-on Data Platform Infrastructure role that will use their strong infrastructure and deployment automation skills to design, develop, deploy, and maintaining testable, secure platforms and infrastructure that are easy and efficient to use. The platform would provide: The foundations of all critical software is built on Security products for building the data platform Ability to empower our product teams to take ownership of how they deliver software robustly and at scale Participate in on-call rotations/Pagerduty for data platform support. WHAT THIS PERSON WILL BRING: Strong hands on experience with either AWS, Azure or GCP Solid knowledge of cloud architecture principles specifically for Big Data platforms Hands on experience with All phases of the software and system development life cycle and agile methodologies Hands on experience writing production software and automations in at least one general-purpose programming language (Python, Go) Hands on experience with Kubernetes, Docker or other containerization technologies and infrastructure-as-code (IaC) technologies such as Terraform Hands on experience with runtime orchestrations like serverless, container orchestrations, batch and realtime event orchestration, et Hands on experience building continuous integration(CI) with common tools such as GitHub Actions, Circle CI, Jenkins, and Tekton and experience building continuous deployment(CD) for both software and data architectures and adept with multiple deployment strategies like canary, blue-green deployments, etc. Agile development methodologies using the Atlassian suite: Jira, Confluence Collaborate with cross-functional teams to deliver data solutions and provide technical support and guidance to team members. Stay up-to-date with the latest data engineering technologies and trends. BENEFITS & PERKS Our motto is 'Taking Care of Our Own' through 6 pillars of benefits: HEALTH: Medical, Dental and Vision benefits for you and your family, including Flexible Spending Accounts (FSA) and Health Savings Accounts (HSAs) YOURSELF: Paid time off policy including holidays, sick time, and day off for your birthday, free concert tickets WEALTH: 401(k) program with company match, Stock Program Reimbursement FAMILY: New parent programs & support including caregiver leave and baby bonus, infertility support CAREER: Tuition reimbursement, student loan repayment internal growth and development programs & trainings OTHERS: Volunteer time off, crowdfunding network EQUAL EMPLOYMENT OPPORTUNITY We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work. We will do all that we can to help you successfully balance your work and homelife. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. It's talent that matters to us and we encourage applications from people irrespective of their gender, race, sexual orientation, religion, age, disability status or caring responsibilities. Live Nation strongly supports equal employment opportunity for all applicants regardless of age (40 and over), ancestry, color, religious creed (including religious dress and grooming practices), family and medical care leave or the denial of family and medical care leave, mental or physical disability (including HIV and AIDS), marital status, domestic partner status, medical condition (including cancer and genetic characteristics), genetic information, military and veteran status, political affiliation, national origin (including language use restrictions), citizenship, race, sex (including pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), gender, gender identity, and gender expression, sexual orientation, or any other basis protected by applicable federal, state or local law, rule, ordinance or regulation. We will consider qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Ordinance, San Francisco Fair Chance Ordinance and the California Fair Chance Act and consistent with other similar and / or applicable laws in other areas. We also afford equal employment opportunities to qualified individuals with a disability. For this reason, Live Nation will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant consistent with its legal obligations to do so, including reasonable accommodations related to pregnancy in accordance with applicable local, state and / or federal law. As part of its commitment to make reasonable accommodations, Live Nation also wishes to participate in a timely, good faith, interactive process with a disabled applicant to determine effective reasonable accommodations, if any, which can be made in response to a request for accommodations. Applicants are invited to identify reasonable accommodations that can be made to assist them to perform the essential functions of the position they seek. Any applicant who requires an accommodation in order to perform the essential functions of the job should contact a Human Resources Representative to request the opportunity to participate in a timely interactive process. Live Nation will also provide reasonable religious accommodations on a case by case basis. HIRING PRACTICES The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Live Nation recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. Live Nation may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, internet recruiting, job fairs, college recruiting and search firms. #LI-EF1 #LI-RemoteUnitedStates #LI-RemotePennsylvania #LI-RemoteAtlanta,GA #LI-RemoteAustin,TX #LI-RemoteBaltimore,MD #LI-RemoteCharleston,SC --------- The expected compensation for this position is: $136,000.00 USD - $170,000.00 USD Pay is based on a number of factors including market location, qualifications, skills, and experience.

Industry/Sector Insurance Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You'll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. As a Senior Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Encourage everyone to have a voice and invite opinion from all, including quieter members of the team. Deal effectively with ambiguous and unstructured problems and situations. Initiate open and candid coaching conversations at all levels. Move easily between big picture thinking and managing relevant detail. Anticipate stakeholder needs, and develop and discuss potential solutions, even before the stakeholder realises they are required. Contribute technical knowledge in area of specialism. Contribute to an environment where people and technology thrive together to accomplish more than they could apart. Navigate the complexities of cross-border and/or diverse teams and engagements. Initiate and lead open conversations with teams, clients and stakeholders to build trust. Uphold the firm's code of ethics and business conduct. Job Requirements and Preferences: Basic Qualifications: Minimum Degree Required: Bachelor Degree Minimum Years of Experience: 9 year(s) Preferred Qualifications: Certification(s) Preferred: Certification in one of the following cloud platforms- AWS/Azure/GCP Preferred Knowledge/Skills: Demonstrates abilities and/or success in one or more of the following areas: Possessing understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers- AWS, Azure, GCP; Being highly organized; Proven track record of implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform); Understanding of Data Warehousing concepts (normalization, OLAP, OLTP, Vault data model, graphs, star & snowflake schemas); Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse; Understanding of file and object-based storage solutions using Azure ADLS 2.0 or AWS S3; Applying knowledge in SQL, report generation using visualization tools such as Tableau/Power BI/Cognos, programming using Python/Spark; Improving advanced analytics solutions, AI/ML models, and operationalizing based on ML Ops process; Implementing enterprise data solutions concepts such as Master Data Management, Data Governance and Enterprise Data Warehouse; Architecting and driving delivery of high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML; Understanding and familiarity of one or more is a big plus- CI/CD, cloud devops, containers (kubernetes/Docker, etc.); Possessing P&C Insurance industry experience, including a proven understanding of insurance data, underlying KPIs and how they are used; and, Understanding of Insurance product like Guidewire (PolicyCenter, BillingCenter, & ClaimsCenter). Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas: Demonstrating prior Big 4 or strong consulting experience in strategy through execution projects; Leading the ideation and development of accelerators/prebuilt solutions that package leading practices and enable rapid deployment of high quality solutions for our clients; Leading and shaping the development of and execution of GTM strategy and industry specific offerings / assets; Leading the development and delivery of sales support materials for Data Integration opportunities, including delivery of client training and industry events; Acting as a subject matter specialist on Data architectures/tools/solutions, leveraging your knowledge and experience to meet client's needs; Leading and driving the sizing effort related to Data work, plan and build strong teams utilizing onsite/offshore mix, utilizing deployment models for efficient delivery of solution; Performing as a team leader by creating a positive environment, building team members based on coaching and mentoring, shaping next generation of Data Integration leaders; Monitoring workloads of the team while meeting client expectations and respecting the work-life quality of team members; and, Providing candid feedback in a timely manner and keeping leadership informed of progress and issue. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: https://pwc.to/how-we-work PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy . As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

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

Apply Job Type Full-time Description We are HALO! We connect people and brands to create unforgettable, meaningful, and lasting experiences that build brand engagement and loyalty for our over 60,000 clients globally, including over 100 of the Fortune 500. Our nearly 2,000 employees and 1,000 Account Executives located in 40+ sales offices across the United States are the reason HALO is #1 in our $25B industry. HALO is looking to fill a Program Account Data Specialist role which is a hybrid of both a traditional Program Account Manager and a Data Specialist, located in Columbus, OH. This position will serve as a gatekeeper for the key account team's data and be responsible for overseeing all things related to the program side including loading Incentive programs into Reach, for this team. It is a technical role that requires skill in database management, backend systems, excel and web management. This person will work closely with the AE, client, Strategic Account Managers and internal HALO Departments - Inventory Management, Programs, Merchandising and IT to load required program specifications into the backend systems. Key is understanding the programs being managed and make recommendations for improvements based on analysis. Responsibilities Will develop and maintain the full lifecycle of a key account from start to finish; including execution of long-range sales, marketing and growth plans Managing client expectations and project processes, approvals and timelines Pull and analyze redemption reporting, 3PL Warehouse files, Drop-Ship files and more Provide oversight to the demands of inventory and open order reports Create and load packages into Reach based on specifications from the client and Strategic Account Manager Confirm details specific to each package and events within Reach Create and edit email details specific to a package within Reach Partner with 3PLs on file transfers and inventory management Manage updates to the client's store and notify team when complete Analyze sales/inventory/usage reports; initiate any necessary actions based on data analysis Support and assist the PAMS submitting Merchandising product templates Provide support in the development and execution of program marketing initiatives Requirements Ability to analyze large datasets and provide feedback Analytical mind and inclination for problem-solving Must have extreme attention to detail Strong problem-solving skills and ability to make decisions Analytical thinking to comprehend and utilize business reports Proficient in Microsoft Office applications specializing in Excel Excellent time-management and organizational skills Positive, professional attitude and pleasant personality in all situations Discipline to work productively under minimal direct supervision Courage to take initiative, share ideas and suggest improvements Desire to succeed in a deadline driven environment Flexibility to work with a team, take on new responsibilities and work overtime when required Basic marketing, accounting, knowledge Outstanding verbal and written communication skills Compensation: The estimated base salary range for this position is between $47,000 - 60,000 annually. Please note that this pay range serves as a general guideline and reflects a broad spectrum of labor markets across the US. While it is uncommon for candidates to be hired at or near the top of the range, compensation decisions are influenced by various factors. At HALO, these include, but are not limited to, the scope and responsibilities of the role, the candidate's work experience, location, education and training, key skills, internal equity, external market data, and broader market and business considerations. Benefits: At HALO, we offer benefits that support all aspects of your life, helping you find a work-life balance that's right for you. Our comprehensive benefits include nationwide coverage for Medical, Dental, Vision, Life, and Disability insurance, along with additional Voluntary Benefits. Prepare for your financial future with our 401(k) Retirement Savings Plan, Health Savings Accounts (HSA), and Flexible Spending Accounts (FSA). More About HALO: At HALO, we energize our clients' brands and amplify their stories to capture the attention of those who matter most. That's why over 60,000 small- and mid-sized businesses partner with us, making us the global leader in the branded merchandise industry. Career Advancement: At HALO, we're passionate about promoting from within. Internal promotions have been key to our exponential growth over the past few years. With so many industry leaders at HALO, you'll have the opportunity to accelerate your career by learning from their experience, insights, and skills. Plus, you'll gain access to HALO's influential global network, leadership opportunities, and diverse perspectives. Culture: We love working here, and we're confident you will too. At HALO, you'll experience a culture of ingenuity, inclusion, and relentless determination. We push the limits of possibility and imagination by staying curious, humble, and bold breaking through yesterday's limits. Diversity fuels our creativity, and we thrive when each of us contributes to an inclusive environment based on respect, dignity, and equity. We hold ourselves to a high standard of excellence with a commitment to results and supporting one another with accountability, transparency, and dependability. Recognition: At HALO, your success is our success. You can count on us to celebrate your wins. Colleagues across the company will join in recognizing your milestones and nominating you for awards. Over time, you'll accumulate recognition that can be converted into gift cards, trips, concert tickets, and merchandise from your favorite brands. Flexibility: Many of our roles offer hybrid work options, and we pride ourselves on flexible schedules that help you balance professional and personal demands. We believe that supporting our customers is a top priority and trust that you and your manager will collaborate to create a schedule that achieves this goal. HALO is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We insist on an environment of mutual respect where equal employment opportunities are available to all applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. Inclusion is a core value at HALO and we seek to recruit, develop and retain the most talented people. HALO participates in E-Verify. Please see the following notices in English and Spanish for important information: E-Verify Participation and Right to Work. HALO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at hr@halo.com. Please do not use this as an alternative method for general inquiries or status on applications as you will not receive a response. Reasonable requests will be reviewed and responded to on a case-by-case basis.

Since our founding, we have redefined how people approach small-dollar loans-delivering over $1 billion in funding to more than 1 million customers, issuing over 4 million loans, and saving our customers more than $500 million. At Possible, we're building a new type of consumer finance company; one that helps our customers stay out of debt rather than profit from their staying in it. We are a Public Benefit Corporation with the mission to help communities unlock economic mobility through affordable credit products crafted to improve financial health for generations. Join the team that's making our goal a reality. We are seeking a hardworking Data Engineer to join our ambitious data team. As a Data Engineer at Possible Financial Inc., you will craft, build, and maintain world-class data models and pipelines. Collaborate cross-functionally to drive data-driven decision-making and successfully implement innovative solutions. Are you interested in architecting flawless data infrastructure while making a positive societal impact? Have you always wanted your work to have a mission to help underserved communities? Join us in Seattle, WA, and work on high-impact, large-scale data engineering projects. We apply AWS, Databricks, dbt, Airflow, and Terraform. We are looking for a self-starter with outstanding abilities to deliver on time and a passion for data to solve business problems. Responsibilities Design and implement scalable data pipelines and ETL processes Build and optimize data models for analytics and machine learning applications Collaborate with finance, marketing, and other teams to support their data needs Develop and maintain cloud-based data infrastructure (AWS + Databricks) Implement data quality measures and monitoring systems Evaluate and implement new data technologies and tools Requirements 3+ years of experience in data engineering or a similar role Knowledge of SQL, Python, and Spark Strong understanding of data modeling and architecture principles Proficiency in cloud platforms like AWS, GCP, or Azure and IaC tools such as Terraform Experience with modern data warehousing solutions Knowledge of at least one orchestration tool (e.g., Airflow, Dagster, Prefect, AWS Step Functions) Experience with dbt or similar transformation tools Background in implementing data governance and security practices Preferred Qualifications Experience with real-time data processing systems such as Kafka, Kinesis, etc. Knowledge of machine learning operations (MLOps) Familiarity with monitoring and observability tools like DataDog, Grafana, Great Expectations, and Elementary With the backing of our venture investors- Union Square Ventures, Canvas Ventures, Euclidean Capital, and Unlock Venture Partners - a dedicated following of hundreds of thousands of customers, and an extraordinary team, we are unwavering in our fight for financial fairness. As one of only a few FinTech Public Benefit Corporations, we've baked our dual dedication to building a profitable and socially impactful company into our charter; we only succeed when our customers do too. Give us a shout if you'd like to help us ship financial products that protect consumers from predatory lending practices and promote economic health. This is a Hybrid position. We work in the office three days a week, and our office is centrally located in downtown Seattle. The compensation range for this role is $142,000 to $150,000. We also offer significant stock options, comprehensive benefits, a bonus plan, commuter benefits, and an excellent office space with complimentary drinks and food options. With the backing of our venture investors- Union Square Ventures, Canvas Ventures, Euclidean Capital, and Unlock Venture Partners - a dedicated following of hundreds of thousands of customers, and an extraordinary team, we are unwavering in our fight for financial fairness. As one of only a few FinTech Public Benefit Corporations, we've baked our dual dedication to building a profitable and socially impactful company into our charter; we only succeed when our customers do too. Give us a shout if you'd like to help us ship financial products that protect consumers from predatory lending practices and promote economic health. Possible Finance is dedicated to financial fairness and community empowerment. We welcome diverse perspectives and experiences to help us achieve our mission of unlocking economic mobility for generations to come. Learn more about us as a Public Benefit Company.

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

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

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

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

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

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