Sr Data Engineer

CVS Health-posted 3 months ago
$83,430 - $222,480/Yr
Full-time
Work At Home, NM
5,001-10,000 employees
Ambulatory Health Care Services
Resume
Match Score
Upload and Match ResumeTrack Jobs with Teal

As the nation's leading health solutions company, CVS Health is building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. The position involves designing, building, and maintaining large-scale data infrastructure and data processing systems. The role requires implementing robust and scalable solutions to support data-driven applications, analytics, and business intelligence.

  • 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
  • 401(k) plan (including matching company contributions)
  • 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
Track Jobs with Teal

Job Search Resources

•
AI Resume Builder
•
Data Engineer Resume Examples
•
Data Engineer Cover Letter Examples

Tools

Career Hubs

Guides

Company

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service