Data Engineer

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.

• Communicate with business leaders to help translate requirements into functional specification
• Develop broad understanding of business logic and functionality of current systems
• Analyze and manipulate data by writing and running SQL queries
• Analyze logs to identify and prevent potential issues from occurring
• Deliver clean and functional code in accordance with business requirements
• Consume data from any source, such as flat files, streaming systems, or RESTful APIs
• Engineer scalable, reliable, and performant systems to manage data
• Collaborate closely with other Engineers, QA, Scrum master, Product Manager in your team as well as across the organization
• Build quality systems while expanding offerings to dependent teams
• Comfortable in multiple roles, from Design and Development to Code Deployment to monitoring and investigating in production systems

• 7+ years of relevant experience
• Proven ability to complete projects in a timely manner while clearly measuring progress
• Ability to use AI driven tooling
• Strong software engineering fundamentals (data structures, algorithms, async programming patterns, object-oriented design, parallel programming)
• Strong understanding and demonstrated experience with at least one popular programming language (.NET or Java) and SQL constructs
• Experience with cloud-based systems (Azure / AWS / GCP).
• High level understanding of big data design (data lake, data mesh, data warehouse) and data normalization patterns
• Strong communication skills
• Ability to collaborate closely with product, data analytics teams
• Proficiency in building scalable data pipelines on Big Data Platforms and ETL/ELT workflows

• 3+ years in senior or lead roles
• Expert-level skills in writing and optimizing complex queries (preferably across multiple databases - e.g., SQL Server, Snowflake, Postgres)
• Solid knowledge of Apache Kafka (Kafka Streams, Schema Registry, Avro/JSON serialization)
• Advanced experience building distributed data pipelines, ETL/ELT workflows, and real-time/streaming jobs (Spark SQL, PySpark, Spark Structured Streaming)
• Strong understanding of data modeling, data quality, and governance in regulated environments (HIPAA, HITRUST)
• Familiarity with Epic Interconnect APIs, Bridges, or other healthcare interoperability frameworks
• Experience with Azure (preferred), AWS, or GCP for data engineering workloads
• Experience working on Databricks platform
• Experience with DBT and Dagster
• Strong Python programming experience for data ingestion, transformation, and automation workflows
• Strong experience with revision control (Git)
• Demonstrated experience with Metrics, Logging, Monitoring and Alerting tools
• Strong experience with use of RESTful APIs
• High level understanding of system deployment tasks and technologies. (CI/CD Pipeline, K8s, Terraform)
• Experience designing real-time streaming pipelines and batch workflows

• Bachelors in Computer Science or equivalent
• Master's degree or PhD preferred

The typical pay range for this role is: $ - $. 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.

This position also includes an award target in the company’s equity award program.

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.