Sr Data Engineer

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.Position Summary
Designs, builds, and maintains large-scale data infrastructure and data processing systems. Implements robust and scalable solutions to support data-driven applications, analytics, and business intelligence.

Required Qualifications

• 5 years work applicable experience
• Ability to collaborate closely with product, data analytics teams, and Epic analysts
• Strong problem-solving and troubleshooting skills in complex, mission-critical healthcare environments
• Experience designing real-time streaming pipelines and batch workflows
• Strong hands-on experience parsing, transforming, and mapping HL7 v2/v3
• Proficiency in building scalable data pipelines on Big Data Platforms and ETL/ELT workflows
• Strong Python programming experience for data ingestion, transformation, and automation 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)
• Prior experience in healthcare IT, EMR/EHR systems (Epic preferred), and HL7/FHIR standards
• Experience developing data integration services or custom connectors using Java/Kotlin, particularly for EMR/clinical system
• 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

• 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.