Data Engineer (AI Pipelines)

Our client, a leader in AI testing, is looking for a skilled Data Engineer (AI Pipelines) to join their team for a 12-month remote contract engagement. This project involves building scalable ETL/ELT pipelines to ingest, clean, and transform massive datasets for AI training, inference, and low-latency real-time applications. This is a high-impact role that requires a self-motivated professional who can hit the ground running and deliver results quickly.

Responsibilities

• Build scalable ETL/ELT pipelines to ingest, clean, and transform massive datasets for AI training and inference.
• Implement data quality checks and automated validation to prevent "garbage in, garbage out" in AI systems.
• Manage the storage and versioning of large datasets using tools like DVC or Snowflake.
• Optimize data retrieval patterns for low-latency RAG systems and real-time model serving.
• Collaborate with ML engineers to ensure data features are consistent across training and production.

Requirements

• 4+ years of experience in Data Engineering.
• Deep expertise in SQL, Spark, Python, and modern data stack tools (Airflow, dbt).
• Demonstrated ability to work autonomously and manage your own time effectively to meet project goals.
• Experience with cloud data warehouses (Snowflake, BigQuery) and Git.
• Strong communication skills to provide clear and concise status updates to the project team.

Pay

$50/hr – $175/hr

Schedule

12-month contract, starting immediately. Remote work.