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As a Senior Data Engineer, you will be a core builder within the Integration & Interoperability Center of Excellence (COE), working closely with Principal Engineers to design and implement scalable data pipelines that power real-time healthcare data exchange, EMR integration, and value-based care insights.

This is a highly hands-on engineering role focused on building and operating production-grade data systems that support claims, clinical, pharmacy, and provider data at scale.

How This Role Differs

• You are the builder and implementer, not just the designer

• You will work directly under Principal Engineers to execute architecture vision

• You will own end-to-end pipelines and services in production

• You will focus on real-time integration, data quality, and reliability across healthcare data flows

 

What You’ll Do

Build Scalable Healthcare Data Pipelines

• 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

 

Implement Interoperability Solutions

• 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)

 

Enable Point-of-Care Data Delivery

• 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

 

Data Quality, Reliability & Observability

• 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

 

Cloud-Native Engineering

• 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

 

Collaboration in COE Model

• 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

Use your skills to make an impact
 

Required Qualifications

• 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)

Additional Information

Location/Work Style: Remote in Frisco/Dallas, TX area

Work at Home Guidance

To ensure Home or Hybrid Home/Office associates' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria:

• At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested

• Satellite, cellular and microwave connection can be used only if approved by leadership

• Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.

• Humana will provide Home or Hybrid Home/Office associates with telephone e