Senior Machine Learning Data Engineer (DataOps)
Mountain View, CA$164k - $261kfull-timePosted 2mo ago
About the role
Senior Machine Learning Data Engineer (DataOps) to build and unify the data infrastructure powering model training pipelines, consolidating fragmented data sources into a cohesive, high-quality data foundation, with automated ingestion, data quality validation, and dataset versioning.
Responsibilities
- Architect and build automated ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) data pipelines to aggregate, clean, and harmonize data from disparate sources, databases, and operational ingestion flows.
- Implement DataOps practices, including data quality monitoring, automated schema validation, and anomaly detection to catch corrupt or mislabeled data early.
- Standardize and integrate third-party annotation workflows and remote labeling feeds into unified datasets ready for model training.
- Design and maintain dataset versioning and storage systems to allow reproducible machine learning experiments and seamless data retrieval.
- Collaborate with machine learning engineers and operations teams to translate raw material, form factor, and sensor metadata into structured training features.
Qualifications
- Degree in Computer Science, Data Engineering, Software Engineering, or a related technical field.
- 5+ years experience building scalable data pipelines, managing relational and non-relational databases, and unifying fragmented data storage systems.
- Expertise in Python and data manipulation libraries (e.g., Pandas, NumPy, or SQL).
- Practical experience implementing automated data validation, quality control frameworks, and dataset versioning practices.
- Hands-on experience structuring datasets specifically for machine learning workflows, including handling annotations, metadata tracking, and training set curation.
Skills
Required:ETL/ELT pipeline designData quality monitoringDataset versioningPythonML data lifecycle
Last updated Oct 22, 2026. Interested? Apply on the company site.
About Google X
Welcome to X, Alphabet's Moonshot Factory. We create radical technologies to help solve some of the world’s hardest problems.
Welcome to X, Alphabet's Moonshot Factory. We create radical technologies to help solve some of the world’s hardest problems.
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