[Remote] Data Engineer (AI Pipelines)

Note: The job is a remote job and is open to candidates in USA. DeWinter Group is seeking a skilled Data Engineer (AI Pipelines) for a 12-month contract engagement supporting a leader in AI testing. The role focuses on building scalable data pipelines, ensuring data quality, managing large datasets, and optimizing data retrieval for AI training, inference, and real-time model serving.

Responsibilities

• 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

Skills

• 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

Benefits

• Remote work

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