CVS Health is looking to design, build, and maintain large-scale data infrastructure and data processing systems to support data-driven applications, analytics, and business intelligence.
Requirements
- 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
- 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)
Responsibilities
- 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.
- 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
- Advanced experience building distributed data pipelines, ETL/ELT workflows, and real-time/streaming jobs (Spark SQL, PySpark, Spark Structured Streaming)
Other
- 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
- Bachelor's degree preferred/specialized training/relevant professional qualification. Computer Science or Equivalent Years of Relevant Experience
- Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
