Senior Data Engineer

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