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.