Data Engineer (AI Pipelines)

Title: Data Engineer (AI Pipelines) Job Type: Contract Contract Length: 12 Months Pay Range: $50/hr – $175/hr Start Date: ASAP Location: Remote About The Opportunity Our client, a leader in AI testing, is looking for a skilled Data Engineer (AI Pipelines) to join their team for a 12-month 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. Key Responsibilities & Deliverables This role is focused on the successful completion of specific tasks and deliverables. Your responsibilities will include: • Building scalable ETL/ELT pipelines to ingest, clean, and transform massive datasets for AI training and inference. • Implementing data quality checks and automated validation to prevent "garbage in, garbage out" in AI systems. • Managing the storage and versioning of large datasets using tools like DVC or Snowflake. • Optimizing data retrieval patterns for low-latency RAG systems and real-time model serving. • Collaborating with ML engineers to ensure data features are consistent across training and production. Required Skills & Experience: We are looking for someone with a proven track record of successful contract engagements. The ideal candidate will have: • 4+ years of experience in Data Engineering. • Deep expertise in SQL, Spark, Python, and modern data stack tools (Airflow, dbt). This isn't a learning role—you need to be a subject matter expert. • 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.