Lead & Senior Data Engineers

Role overview

Build the data foundation for a healthcare operations platform that brings information from hospital systems together to support workforce decisions and measure their outcomes. You will create and operate connectors and pipelines that turn varied, sometimes messy source data into trusted warehouse models and a shared knowledge graph, with onboarding designed to be repeatable across customers. Four openings are available across Lead and Senior levels; both are hands-on and involve regular production coding.

Responsibilities

- Integrate data from HR, scheduling, electronic health record, and external benchmark sources into a cloud data warehouse and graph database. - Build layered data pipelines and maintain mappings and business rules as version-controlled code. - Define data contracts, validate incoming data, quarantine invalid records, and evolve schemas safely. - Implement data quality checks, lineage, reconciliation, and repeatable loads that avoid duplicate records. - Protect sensitive information through masking, tokenization, access controls, and audit trails. - For Lead roles, set a pod’s technical direction and standards, agree data contracts with client stakeholders, review designs and code, and remain accountable for delivery. Senior engineers own substantial components independently within the agreed direction.

Requirements

- Production experience integrating complex enterprise source systems, including handling late files, schema changes, duplicates, and conflicting records. - Strong SQL and Python skills, plus hands-on experience with Snowflake and layered pipelines using dbt or an equivalent tool. - Experience defining and versioning data contracts and schemas, validating data, and managing downstream compatibility. - Practical knowledge of data quality, lineage, reconciliation, and safe reruns. - Experience handling regulated or sensitive data under controls such as HIPAA, including least-privilege access and auditability. - Experience building multi-tenant platforms with customer isolation and repeatable onboarding; familiarity with Azure storage, identity, and Terraform or Bicep is also required. - Daily use of AI coding assistants, with the ability to review and validate their output. Applicants must be US-based and authorized to work in the United States; occasional domestic travel may be needed.

Nice to have

- Healthcare workforce or EHR data, graph databases, ontology or common data model mapping, entity resolution, benchmark feeds, incremental or event-ready pipelines, OpenLineage, and production data feed monitoring.

Benefits and work setup

- Remote US engagement, expected to begin around December 1, 2026, for multiple months with a likely extension.