Data Engineer (Health Data Metrics)

Keebler Health
Durham, United States
Workplace: RemoteFull timeFunction: Administration & Executive AssistanceSkills: ["Problem-solving","Attention to detail","Collaboration","Bias toward speed","Stakeholder partnership"]

Build and optimize scalable data pipelines and warehousing that power healthcare AI insights and value-based care quality metrics. Develop ETL/ELT processes on AWS using SQL and Python, model and transform data with dbt, and automate workflows with orchestration tools like Temporal. Work with healthcare data standards (FHIR/HEDIS, HIPAA compliance) to ensure interoperability, reliability, and high-performance analytics for population health stakeholders.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Keebler Health
Keebler Health
4 days ago

Data Engineer (Health Data Metrics)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Build and optimize scalable data pipelines and warehousing that power healthcare AI insights and value-based care quality metrics. Develop ETL/ELT processes on AWS using SQL and Python, model and transform data with dbt, and automate workflows with orchestration tools like Temporal. Work with healthcare data standards (FHIR/HEDIS, HIPAA compliance) to ensure interoperability, reliability, and high-performance analytics for population health stakeholders.
Location: Durham, United States
Workplace: Remote
Employment Type: Full time
Job Function: Administration & Executive Assistance

Key Responsibilities

  • •Design, build, and maintain scalable ETL/ELT data pipelines on AWS.
  • •Develop, test, and deploy SQL/Python solutions for data transformation and analysis.
  • •Implement and manage data warehousing with Redshift Serverless and related AWS services.
  • •Use dbt for data modeling, transformation, and documentation.
  • •Ensure compliance with HIPAA and build reliable, high-availability healthcare data architecture.

Key Requirements

  • •US-based only; no foreign applicants will be considered.
  • •Proven data engineering experience with SQL, Python, and AWS cloud data infrastructure.
  • •Experience with dbt and Spark/PySpark for data transformation and modeling.
  • •Familiarity with healthcare data systems including HEDIS, population health tools, and FHIR data models.
  • •Knowledge of data warehousing and workflow orchestration tools.
Experience:HealthcareValue-based carePopulation healthData interoperabilityAWS cloudHIPAAData engineering
Skills:Problem-solvingAttention to detailCollaborationBias toward speedStakeholder partnership
Tech Stack:AWSSQLPythonETLELTRedshift ServerlessRedshiftDbtTemporalSparkPySparkPandasFHIRHIPAAHL7CQLAirflowDagsterGlueEMR

Company Brief

Keebler Health
Keebler Health develops digital health solutions focused on improving patient outcomes through technology-driven care management, remote monitoring, and clinician support tools tailored for chronic disease management and care coordination.
Industry: HealthTech
Website