Data Engineer, Data Flywheel
Microsoft AI · Redmond, Mountain View, New York, London, Zurich
Strong hiring record · median 10 days open
Hiring signal
Actively hiring
Still listed on the employer's own board · publishes a salary range · How we score
All reasons
In its favour
- Still listed on the employer's own board
- Publishes a salary range
About the role
We are looking for a Data Flywheel Infrastructure Engineer to build the infrastructure that continuously turns 1P data, 3P data, model signals, evaluation results, and synthetic data into high-quality training data for frontier LLM and multimodal models.
Job Overview
- Build 1P & 3P Data Flywheel Infrastructure
- Own Data Governance, Security & Compliance Infrastructure
- Build Policy-Aware Data Acquisition & Curation Systems
- Build Evaluation-to-Data Feedback Loops
Model Failure → Data Gap → Data Intervention → Training → Evaluation
- Build Synthetic & AI-Native Data Pipelines
- Build Data Quality, Attribution & Observability
Required Qualifications
- Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years experience in business analytics, data science, software development, data modeling, or data engineering
- OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering OR equivalent experience.
Preferred Qualifications
- Experience building AI training-data governance platforms, including provenance, licensing/rights metadata, consent management, PII handling, policy enforcement, or auditable lineage.
- Experience managing third-party datasets, data partnerships, licensed content, or externally sourced data with complex contractual and usage restrictions.
- Experience building privacy- and security-aware systems for first-party product or user data, including isolation, access controls, retention/deletion, and purpose limitation.
- Experience with data clean rooms, privacy-preserving processing, de-identification, confidential computing, or secure data collaboration.
- Experience building evaluation → failure mining → data generation → training feedback loops.
Data Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year
The typical base pay range for this role across United Kingdom is £ 93,500.00 - £ 161,800.00 per year. Certain roles may be eligible for benefits and other compensation.
Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
requesting accommodations.
Skills
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