Senior Data Engineer

Grace Hospice is a leading national provider of in-home primary care services for people with complex healthcare needs. They are seeking a Senior Data Engineer responsible for designing and optimizing scalable data infrastructure and healthcare data products to support advanced analytics and operations.

Responsibilities:

• Partner with end users and product team to translate business and user requirements into technical solutions using system thinking principles, ensuring performance, scalability, maintainability, security, and user experience
• Complete tasks using and lead by example with:
• Clean, well-documented, quality and efficient ETL code
• Well-architected scalable data models and code that scales via rules engine designs
• Debugging and troubleshooting complex data issues and provide timely solutions
• Contribution to improvement of DevOps and ProdOps with automation of builds, testing, deployment and monitoring
• Peer code reviews, mentoring and training junior team members
• Build scaled jobs and data integration solutions across platform types with best practice in security and network engineering
• Train other developers and stakeholders in adoption of new solutions
• Adherence to agile and scrum processes
• Continuously improve technical skills and stay current with emerging technologies, integrating these into the platform and/or development processes to keep enhancing developer productivity and capabilities of the system
• Employees will be required to perform other job-related assignments as requested

Requirements:

• 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
• Hands on development experience with DBT preferred
• RDBMS (Oracle, PostgreSQL) and OLTP basics preferred
• API development and integration preferred
• Distributed compute optimization preferred
• Hands on knowledge of Microsoft ADF preferred
• Terraform (IaC) experience preferred
• Working experience with AthenaOne EHR configuration, API integrations preferred
• Deep understanding of claims data, provider attribution, actuarial services, Medicare/Medicaid data and programs, risk adjustment, value-based care models preferred
• 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