Senior Data Engineer

Metrics Recruitment is partnering with a B2B SaaS company building critical data infrastructure in the healthcare space. We are seeking a Lead/Senior Data Engineer to own the data platform from the ground up. You’ll work directly with the CTO to build and scale a modern data architecture that powers both internal operations and client-facing analytics. This role is for engineers who thrive on deep technical ownership and building in high-ambiguity environments. Responsibilities Anchor and evolve a medallion architecture on AWS, including ingestion, transformation, and serving layers. Architect data pipelines across hundreds of multi-tenant client databases with complex schemas. Evaluate and implement tooling decisions (Redshift, Snowflake, Databricks, etc.) based on problem‑fit, not trend‑chasing. Own projects end‑to‑end, from initial design through production deployment and monitoring. Lay the groundwork for client‑facing analytics and reporting capabilities. Requirements Built a data platform from scratch at a B2B SaaS company. Strong AWS fundamentals: S3, Redshift/Athena, Glue, Lambda, Step Functions. Python for pipeline development; experience with Airflow, Prefect, or equivalent orchestration. Comfortable operating as the sole senior data person with minimal direction. Nice to Have Experience with sensitive/regulated data environments. Familiarity with medallion architecture. Active user of AI‑assisted coding tools (Claude Code, Copilot, Cursor) as a force multiplier. Compensation: $160,000–$180,000 Base + Variable #J-18808-Ljbffr