AI Data Engineer
Listed on 2026-09-09
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IT/Tech
Data Engineering, Data Warehousing, Data Science Manager, AI Engineer (Applied/Software)
Power AI with Scalable & High-Quality Data Pipelines
- Build and optimize AI-ready data pipelines & ETL processes
- Work with big data platforms like Apache Spark & Snowflake
An AI Data Engineer ensures that AI models have high-quality, structured, and scalable data pipelines to operate efficiently. Using Apache Spark, Snowflake, SQL, and advanced data engineering tools, they design real-time AI-driven data processing solutions that fuel machine learning applications.
With expertise in ETL workflows, cloud-based data storage, and scalable big data solutions, they help businesses maximize AI performance and unlock the full potential of their data.
Design and maintain AI-ready data pipelines
Optimize ETL processes for structured and unstructured data
Leverage Apache Spark & Snowflake for big data management
Ensure data integrity, quality, and governance
Automate data ingestion, transformation, and storage workflows
Example of some of the capabilities of our AI Data Engineers
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