Senior Data Engineer
$205,000–$205,000 year
RemoteUnited States or Troy, Michigan, United States
Job Summary
Design, develop, and optimize scalable data infrastructure and tidy healthcare data products supporting advanced analytics and operations. Partner with end users to translate requirements into technical solutions using system thinking principles. Deliver clean, well-documented ETL code and well-architected scalable data models that support rules engine designs. Debug complex data issues and contribute to DevOps and ProdOps automation for builds, testing, and monitoring. Lead peer code reviews, mentor junior team members, and train stakeholders on new solutions. Build scaled data integration jobs across platform types while adhering to agile processes and security best practices.
Required Qualifications
- Bachelor's degree in computer science, Engineering or a related field or equivalent experience
- 10+ years of hands-on data engineering experience
- 5+ years of data modeling and solution design experience in healthcare/health insurance domain
- 5+ years of experience working in an enterprise software environment in a regulated industry (example: healthcare, financial services)
- 5+ years of experience working with clinical and claims data, including familiarity with compliance (HIPAA, HITRUST, SOC2), EMR integrations, care delivery, and platforms supporting patients and providers
- 5+ years of experience in enterprise big data platform infrastructure development
- Most recent role must have been in HCLS data engineering space
- Deep hands-on knowledge of modern big data processing practices, architectures, and tools, including cloud security
- Expert Python and SQL
- Databricks (expert preferred)
- Data loading solution in conjunction with a Spark-based data platform
- Cloud architecture and security
- DevOps and release engineering
- Technical diagramming (Draw.io/Lucid)
- Healthcare data modeling and ETL development
- Experience using AI tools to augment and force multiply code development
- Application of SDLC, DevOps, version control, and code deployment best practices
- Application of agile software engineering principles, plus use of JIRA/ADO/ServiceNow or similar
- Strong critical thinking ability
- Deep understanding of claims data, provider attribution, actuarial services, Medicare/Medicaid data and programs, risk adjustment, value-based care models
Desired Qualifications
- Master's degree in computer science, information systems, or another engineering discipline
- Prior experience working with AthenaOne EHR configuration, API integrations
- Previous role as cloud solutions architect
- AWS/Azure cloud architecture certifications
- Hands on development experience with DBT
- RDBMS (Oracle, PostgreSQL) and OLTP basics
- API development and integration
- Distributed compute optimization
- Hands on knowledge of Microsoft ADF
- Terraform (IaC) experience
- Working experience with AthenaOne EHR configuration, API integrations
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