[Hiring] Senior Data Engineer @Accuity

Role Description

The Senior Data Engineer is a hands-on senior individual contributor within Data Operations, reporting to the Senior Manager, Data Operations. The role designs, builds, documents, and operates complex data assets across source ingestion, Bronze, Silver, and Gold on Accuity's Azure Databricks platform, including production APIs and data services.

• Translate architecture established by the principal-level Data Architect into reusable engineering patterns and production solutions.
• Lead complex implementation decisions, review designs and code, mentor Data Engineers, and improve delivery quality and operational reliability without direct people-management responsibility.
• Lead assigned migration work from SQL Server and SSIS to Databricks and Delta Lake, including dependency analysis, validation, cutover planning, and stabilization.

Qualifications

• Bachelor's degree in computer science, information systems, engineering, or a related technical field preferred; equivalent professional experience may be considered.
• Relevant Databricks, Azure, or data engineering certifications preferred.
• 8+ years of progressive data engineering, database development, or related experience, including technical leadership of complex production solutions.
• Hands-on production experience with Azure Databricks, Delta Lake, Spark, and orchestration; strong SQL, Python, and PySpark proficiency.
• Demonstrated end-to-end delivery across medallion layers and advanced practical modeling skills, including dimensional models and historical behavior.
• Demonstrated production API design and development experience, including contracts, authentication and authorization, versioning, testing, deployment, monitoring, and support.
• Ability to deliver APIs through approved low-code, no-code, or custom tools and assess when each approach is appropriate.
• Strong understanding of JSON, XML, CSV, and standardized exchange specifications; ability to implement and validate interface mappings.
• Experience with complex migrations, dependency analysis, reconciliation, cutover, rollback, and production troubleshooting.
• Experience establishing reusable patterns, conducting code and design reviews, mentoring engineers, and working within architecture standards.
• Experience with Git-based delivery, automated testing, deployment automation, data governance controls, and maintainable technical documentation.

Requirements

• Direct migration experience from SQL Server and SSIS to Databricks; familiarity with Azure Data Factory, Azure storage, Azure Functions, or API management services.
• Experience with Unity Catalog and governing sensitive data across pipelines and APIs.
• Healthcare and revenue cycle data experience, including HL7, FHIR, or X12 EDI and PHI handling.
• Experience validating vendor deliverables and developing internal engineering capability.

Benefits

• Perform additional responsibilities as needed to support data engineering, technology, and organizational goals.

Company Description

Accuity partners with hospitals and health systems through a technology-enabled, physician-led model that improves clinical documentation integrity, coding accuracy, reimbursement optimization, and quality outcomes.