Role Description - Deep, hands-on experience working with Azure Cost Management and Billing data in real production environments. - Strong understanding of how Azure billing maps to actual infrastructure, including VM sizes and series, managed disks, storage tiers, networking charges, and platform services. - Proven experience advising on and implementing Azure Reservations and Azure Savings Plans, including nuanced handling of fees, usage, and eligible SKUs. - Experience classifying and normalizing large volumes of Azure SKUs into logical product hierarchies suitable for FinOps and analytics use cases. - Ability to read, review, and reason about SQL and/or KQL used for billing data transformation, with the capability to contribute hands on when required. - Prior experience in FinOps, cloud economics, cloud billing, or cost and usage analytics roles. - Comfortable operating in a senior advisory capacity within a staff augmentation engagement. Qualifications - Experience aligning Azure billing models with AWS CUR and GCP billing exports. - Familiarity with open table formats such as Iceberg and cloud agnostic analytics stacks. - Experience working with custom or nonvendor standard cost models rather than off the shelf FinOps frameworks.

• Collaborate with our Product and Strategy teams to build customized reporting solutions for our clients • Integrate new internal data sources as well as third-party APIs to enhance our reporting capabilities • Streamline processes to allow for rapid prototyping to meet the reporting needs of new clients • Work with our Platform team to create monitoring which ensures data integrity • Experiment with new tech to find the right tool for the job • Use Kanban to manage multiple releases per week • Maintain high code quality through code reviews and automated tests

Role Description We're looking for a Sr. Data Engineer to shape the future of our data platform. You'll architect scalable systems, set technical direction, and build the frameworks that enable our data organization to operate at scale. This is a high-leverage role where your work multiplies the effectiveness of the entire team. What You'll Do - Platform Architecture & Strategy - Own the technical roadmap for our data platform, making architectural decisions that balance scalability, cost, and maintainability. - Evaluate and champion new technologies and tools, leading adoption across the organization. - Design systems for terabyte-scale data processing with a focus on performance and cost optimization. - Establish data engineering standards, patterns, and best practices that elevate team quality. - Model infrastructure costs and drive efficiency initiatives across Snowflake and cloud platforms. - Advanced Technical Work - Design and build scalable infrastructure for AI/ML workloads, including model training pipelines, feature engineering systems, and AI agent platforms. - Build reusable frameworks and internal platforms that abstract complexity for other engineers. - Design complex data models for critical business domains, balancing normalization, performance, and usability. - Architect real-time/streaming data infrastructure for low-latency use cases. - Engineer solutions for large-dataset performance challenges (Snowflake clustering, micro-partitioning, query optimization). - Create sophisticated data-contract validators and schema evolution frameworks. - Develop profiling and drift detection systems that ensure data quality at scale. - Technical Leadership - Conduct design reviews and provide architectural guidance for major initiatives. - Lead incident response for critical data systems and drive blameless post-mortems. - Define SLAs and reliability standards for data products. - Mentor and upskill data engineers through pairing, code reviews, and technical discussions. - Lead cross-functional projects with analytics, data science, and product teams. - Operational Excellence - Build data observability platforms with intelligent alerting and monitoring. - Perform capacity planning and scalability analysis for the entire data stack. - Benchmark performance across infrastructure to identify optimization opportunities. - Design self-service tools that enable analytics engineers and analysts to work independently. Qualifications - Deep expertise with modern data warehouses (Snowflake strongly preferred) including advanced optimization techniques. - Strong foundations in distributed systems, data structures, and algorithms. - Experience designing AI-native platform tooling - including reusable agent frameworks and MCP-integrated capabilities that enable teams to compound on shared infrastructure rather than generate ad-hoc solutions. - Production experience building high-volume data pipelines and ETL/ELT systems. - Proficiency in Python/SQL and orchestration tools (Airflow, dbt, or similar). - Experience with cloud platforms (AWS/GCP) and infrastructure-as-code. Requirements - Track record of making architectural decisions with long-term impact. - Ability to evaluate tradeoffs between competing approaches. - Experience balancing technical excellence with business pragmatism. - Proven ability to drive technical strategy across an organization. Leadership & Communication - History of mentoring engineers and raising team capabilities. - Excellent written and verbal communication for technical and non-technical audiences. - Ability to build consensus and influence without direct authority. - Experience leading projects across multiple teams. Bonus Points - Experience with streaming systems (Kafka, Flink, etc.). - Data mesh or domain-oriented architecture implementation. - Open source contributions or technical writing. - Background in analytics engineering or data modeling. You'll Thrive Here If - You think in systems and frameworks, not just individual solutions. - You're energized by making other engineers more effective. - You balance perfectionism with pragmatic delivery. - You're comfortable with ambiguity and defining your own projects. - You care deeply about code quality, documentation, and operational excellence. United States Base Pay Range $155,000 — $193,000 USD We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Requisition Job Description Position Summary If you’re eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way. At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach. As a Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints. As a Data Engineer, you will: - Understands the Enterprise data systems and acquires knowledge on the relevant processes need for project delivery. - Participate in project estimation process and provide inputs to Tech Lead. - Participate in Agile scrum activities/project status meetings on regular basis. - Participate in User story grooming/Design discussion with technical lead. - Analyzes complex Data structure from disparate data sources and design large scale data engineering pipeline. - Uses strong programming skills to build robust data pipelines for ETL (Extract / Transform / Load) processes, designs database systems and develops tools for data processing. - Perform all Data Engineering job activities EDW/ETL project development/testing and deployment activities. - Work closely with the developers on the ETL Jobs/Pipelines development. - Create the Project process/automation by integrating the involved components. - Documents data engineering processes, workflows, and systems for reference and knowledge-sharing purposes. - Implements data quality checks and validation processes to ensure the accuracy, completeness, and consistency of the data. - Be a team player and work with team members for Business solution and implementation. - Proficiency in SQL optimization and performance tuning for large-scale datasets As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise. Required Qualifications - 3+ years of Experience in executing Data warehousing ETL projects. - 3+ years of Experience with Python - 3+ years of Experience with SQL - 3+ years of experience with ETL/ELT, and building high-volume batch/realtime data pipelines - 3+ years of hands-on Experience with bash shell scripts, UNIX utilities & UNIX Commands - 3+ years of hands-on Experience with a major cloud platform (GCP, AWS, Azure) Preferred Qualifications - Experience with complex systems and solving challenging analytical problems - Strong collaboration and communication skills within and across teams - Knowledge of data visualization and reporting tools - Implementation experience in building real time or near real time data pipelines using pub/sub or change data capture - Knowledge on AI/ML model building using various libraries in Python along with data wrangling/data preparation experience - Experience with Git, CI/CD pipeline, and other DevOps principles/best practices - Experience with bash shell scripts, UNIX utilities & UNIX Commands - Understanding of software development methodologies including waterfall and agile. - Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources - Knowledge of API development, microservices and SOA - Experience with schema design and dimensional data modeling - Google Professional Data Engineer Certification - Formal SAFe and/or agile experience. Previous healthcare experience and domain knowledge - Experience designing, building, and maintaining data processing systems - Experience architecting and building data warehouse and data lakes - Experience with GCP services such as BigQuery, Dataflow, Cloud Storage, and Tidal, along with building and managing DAG‑based workflows - Experience in implementing data governance, data quality frameworks, and metadata management Education Bachelor’s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required. Master’s Degree preferred. Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $72,100.00 - $144,200.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: - Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. - No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. - Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit https://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 03/30/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.