Own full lifecycle data projects from requirements to production.
Build data lakes, analytics pipelines, and lightweight apps.
Collaborate with data science, finance, and clinical ops teams to power decisions.
Deploy solutions to production and monitor post-deployment health.
AI-first data engineering across pipelines and tools.
Design verification loops and model context for AI agents.

🎯 Requirements

5+ years hands-on data engineering with production pipelines.
Expert Python for ETL, orchestration, and automation.
Deep SQL skills: optimization and data modeling.
2+ years AI-first development workflows.
4+ years AWS data services (S3, Glue, Lambda, Redshift) and/or Azure.
2+ years orchestration frameworks; 1+ year Snowflake.

🎁 Benefits

Medical, dental, and vision insurance.
401(k) with company matching and vesting.
Paid holidays and wellness days.
Life and disability insurance options.
Tuition reimbursement for development and education.
Referral bonuses.

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