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# ML Data Engineer

- **Company:** Amazon.com, Inc.
- **Location:** Ashburn, VA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $100,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Code Review, Continuous Integration, Data Centers, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Distributed Systems, Java Virtual Machine (JVM), Python (Programming Language), Software Engineering, Management of Software Versions, Data Processing, Apache Spark, Information Technology, Integration Frameworks, Free and Open-Source Software, Machine Learning Operations
- **Published:** July 30, 2026
- **Apply:** https://www.careerjet.com/jobad/us0fa2a0d4e3d26c2a0aa89ac6d244b285

## About the Role

* Bachelor's or Master's degree in Computer Science or a related field.
 * Six or more years of data engineering experience, with significant work supporting ML or AI workloads.
 * Strong proficiency in Python and at least one JVM or systems language.
 * Deep experience with modern data processing frameworks such as Spark, Ray, or Beam.
 * Hands-on experience operating petabyte-scale storage and pipeline systems.
 * Strong understanding of distributed systems, data modeling, and storage formats.
 * Experience with dataset versioning, lineage, and reproducibility for ML workflows.
 * Familiarity with high-throughput data loading for accelerator-based training.
 * Strong software engineering practices including testing, CI/CD, and code review.
 * Excellent communication and cross-functional collaboration skills., * Experience with multimodal datasets at large scale.
 * Familiarity with data quality tooling and dataset evaluation methodology.
 * Exposure to privacy-preserving data systems and regulated data handling.
 * Open-source contributions to data infrastructure projects.
 * Experience supporting frontier model training pipelines.

## Description

We are seeking an ML Data Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency., As part of the global controls team, you will work with highly motivated experts and innovators in the data center industry. You will be responsible for troubleshooting, project ma…

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