Data Engineer

Role Overview

The Data Engineer builds and maintains ingestion pipelines, change-data-capture streams, and Bronze-layer infrastructure to bring source-system data into Snowflake reliably. They ensure data is complete, ordered, and historically preserved, creating the raw material for Analytics Engineers to model into governed data products.

What You Will Do

The Data Engineer will build conformed Silver models from business rules, grain, and conforming logic defined by the Analytics Engineer, starting with close guidance and taking on more independence over time. They will own Bronze-to-Silver reconciliation, apply classification tags at Bronze, and handle incremental logic and performance tuning as models grow in volume.

Why It Might Be a Fit

This is an early hire on a small, capability-based data squad with a clear growth path, working on the foundational data products of a new data platform. The Data Engineer will contribute to shared CI/CD pipeline templates, participate in severity-1 incident response, and work with Platform Engineering on Docker-based containerization and provisioning of Snowflake databases.

Requirements

• Experience building and operating production data pipelines with strong Python and SQL skills
• Solid working knowledge of relational databases (SQL Server, Oracle, or PostgreSQL)
• Experience implementing data-quality checks at the ingestion boundary — schema-drift detection, row-count validation, freshness monitoring — and reconciling that data ties out end to end
• General familiarity with data modeling concepts

Benefits

• Medical
• Dental
• Vision
• HSA
• FSA
• Earned time off
• 401K
• Student loan repayment
• Life insurance
• AD&D insurance
• Employee assistance program
• Employee stock purchase program
• Tuition reimbursement
• Performance-based incentive pay
• Short- and long-term disability
• Wellness program

Tagged as: Python, Snowflake, SQL