Data Engineer | Data Flywheel

City
London, Mountain View, New York City, Redmond, Zurich
State
California, New York, Washington
Country
United Kingdom, United States, Switzerland
Job Number
200055098
Team
Data Platform
Discipline
Engineering

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.

 

Apply for this job

Fields marked * are required.

About you
Your documents

PDF, Word, TXT or RTF — 10 MB max.

Or type/paste it instead

PDF, Word, TXT or RTF — 10 MB max.

Or type/paste it instead
A few more questions

Similar jobs

Data Engineer | AI Data Platform

Mountain View, US New York City, US Redmond, US
Engineering

AI Evaluation Systems Engineering Lead

Mountain View, US
Engineering

AI Inference Systems & Optimization

Mountain View, US
Research & Modeling
English (United States)
Your Privacy Choices Opt-Out Icon Your Privacy Choices
Consumer Health Privacy Sitemap Contact Microsoft Privacy Manage cookies Terms of use Trademarks Safety & eco Recycling About our ads