Senior AI Data Engineer

Senior AI Data Engineer job description: lead the development and optimization of data infrastructure supporting AI initiatives, collaborate with ML engineers and AI scientists, design and maintain scalable data pipelines and models, ensure data governance and security.

Requirements

• Design, develop, and maintain scalable data pipelines and ETL processes supporting AI research and development.
• Design and maintain scalable data models (e.g., star schemas, feature‐ready datasets, semantic layers) for analytics, ML training, and agent workflows.
• Collaborate with AI scientists and engineers to gather data requirements and ensure availability and quality.
• Implement data governance and security measures to protect sensitive information.
• Establish observability, lineage tracking, and monitoring frameworks to detect anomalies, freshness issues, and operational failures.
• Implement data partitioning, indexing, and storage optimization techniques for large‐scale AI datasets.
• Monitor and troubleshoot data pipeline issues to ensure continuity and reliability.
• Stay current with emerging data engineering and AI technologies.
• Drive data platform reliability, scalability, and cost optimization across cloud‐based infrastructure.

Benefits

• Competitive salary
• Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.