Data & AI Engineer

Summary

You will build data products and ML pipelines with named stewardship—not a pipeline nobody owns after go-live.

Key responsibilities

• Design and build data pipelines and platforms with documented lineage
• Implement evaluation and monitoring for ML/AI features prior to production release
• Own data product contracts and service levels with client counterparts
• Contribute to the security control matrix for data handling

Required skills & qualifications

• 3+ years in data engineering or applied ML
• Strong SQL and at least one modern data platform (e.g., Snowflake, Databricks)
• Experience explaining technical tradeoffs to non-technical stakeholders

Preferred skills

• Experience with responsible AI / model risk frameworks
• Python pipeline orchestration (Airflow, Dagster, or similar)

What you will learn

• How data products are governed with contracts and stewards, not just pipelines
• How AI evaluation and access control are built into delivery, not bolted on