Meta
Data Engineer, Analytics (Ranking, AI)
$177K–$247K
Sunnyvale, CA +2 · Full-time · Posted Jul 27, 2026
- Location
- Sunnyvale, CA
Bellevue, WA
Menlo Park, CA - Experience
- 7+ years in a role primarily involving data; 7+ years with SQL, ETL, data modeling, and at least one programming language.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience. The posting also lists a Master's or Ph.D. degree in a STEM field, with relevant coursework or research.
About the job
Builds and operates scalable data systems, models, and visualizations that support Meta’s ads ranking and AI products, while guiding data architecture and cross-functional decisions.
What you'll do
- Own data architecture for large-scale projects; design and optimize data models, ETL pipelines, dashboards, and production systems.
- Improve logging, data quality, security, privacy safeguards, governance, and dataset service-level agreements.
- Partner with engineering, product, and data science teams to identify opportunities, communicate insights, and mentor colleagues.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 7+ years of experience with data as a primary responsibility.
- 7+ years of experience with SQL, ETL, data modeling, and at least one programming language.
- Demonstrated ability to use AI tools to improve workflows and measurable ongoing AI skill development; experience implementing responsible, ethical AI practices.
Nice to have
- Master's or Ph.D. degree in a STEM field, with coursework or research in data systems, machine learning, or related areas.
Pay
$177,000/year to $247,000/year USD base salary; bonus + equity (amount not stated)
Tools
SQL, ETL, Python, C++, C#, Scala
AI focus
Integrate AI tools to optimize or redesign workflows, develop AI skills such as prompt/context engineering and agent orchestration, and apply responsible AI practices including risk assessment, bias mitigation, and quality and accuracy reviews.
Model-written summary · the original posting is authoritative