Key skills
Data EngineeringHealthcare Data EnvironmentsData PipelinesBatch Data ProcessingStreaming Data ProcessingSQLPythonScalaJavaClaims DataClinical DataPharmacy DataEMR DataHL7FHIRCCDAADT FeedsAnalyticsDatabricksSparkKafkaAirflowAWSAzureGCP
About this role
Humana Inc. is a leading U.S. healthcare company, and they are seeking a Senior Data Engineer to build scalable data pipelines for healthcare data exchange. This role involves collaborating with Principal Engineers to design and implement production-grade data systems that support various healthcare data flows.
Responsibilities:
- Develop and maintain batch and streaming data pipelines across: Claims (837/835), Eligibility (834), Clinical data from EMRs (Epic, Cerner, Athenahealth), Pharmacy (PBM), labs, ADT feeds, and HIE data
- Build high-throughput ingestion frameworks using modern distributed systems
- Ensure data accuracy, completeness, and timeliness across all feeds
- Build and support integrations using: FHIR R4 APIs, HL7v2 interfaces, CCDA documents, Event-driven data exchange patterns (Kafka, streaming services)
- Support bidirectional data exchange between payer systems and provider EMRs
- Work on real-world interoperability challenges (mapping, transformation, normalization)
- Support delivery of insights into EMRs including: Care gaps (HEDIS), Risk adjustment signals (HCC opportunities), Utilization alerts (ADT-driven notifications)
- Build APIs and services that surface data within clinical workflows
- Implement monitoring for: Data freshness, completeness, and accuracy, Pipeline failures and latency issues
- Build reusable data validation frameworks across ingestion pipelines
- Participate in root cause analysis and production support
- Build and deploy solutions on cloud platforms (AWS, Azure, or GCP)
- Use modern data tools such as: Spark, Kafka, Databricks, Airflow
- Contribute to scalable, secure, and HIPAA-compliant architectures
- Work closely with Principal Data Engineers and Architects
- Translate architectural designs into production-ready systems
- Partner with QA, DevOps, and analytics teams to operationalize data products
Requirements:
- 5–10 years of experience in data engineering or backend data systems
- Strong experience in healthcare data environments (payer or provider)
- Hands-on experience with data pipelines (batch + streaming)
- SQL + Python/Scala/Java
- Experience working with claims, clinical, pharmacy, or EMR data
- Familiarity with HL7, FHIR, CCDA, ADT feeds (preferred but not mandatory deep expertise)