Senior Data Engineer

Eventus WholeHealth is a physician-led healthcare services provider founded in 2012. They are seeking a Senior Data Engineer to lead the design and optimization of healthcare data infrastructure, focusing on delivering impactful data solutions and mentoring junior engineers.

Responsibilities:

• Design the strategy, development, and maintenance of a scalable healthcare data platform and deliver high-impact data solutions that generate actionable business and clinical insights
• Influence data strategy and infrastructure by understanding business goals, defining project scope, planned milestones, success criteria and change management considerations
• Architect and orchestrate robust data pipelines (ETL/ELT) sourced via API FHIR, HL7 from CMS, HIEs, EHRs, payers, labs, etc
• Optimize data models, storage, and query performance using cloud technologies (Snowflake, Azure)
• Establish robust frameworks and mindset around data governance, code standardization/documentation, testing/alerting, as well as adherence to industry regulations for security/privacy
• Manage and mentor junior engineers, fostering technical growth, conduct code reviews, and establish best practices in data engineering

Requirements:

• Degree in computer science, engineering, or related field
• 4+ years of experience designing, architecting, and implementing data warehouses
• Hands-on experience using Snowflake, SQL, Python, dbt with healthcare data systems (e.g., HL7, FHIR, EHRs, claims, risk adjustment) and common EHR and medical claim / administrative workflows
• Strong understanding of healthcare regulatory requirements (HIPAA, PHI handling)
• Strong critical thinking and problem solving abilities and prior exposure to a high-growth or startup healthcare environment
• Works collaboratively in a fast-paced, unstructured environment, managing competing deadlines, and adapts to evolving responsibilities