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 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 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. J-18808-Ljbffr