Meta
Data Engineering Leader, Analytics
$210K–$281K
Menlo Park, CA +2 · Full-time · Posted Jul 22, 2026
- Location
- Menlo Park, CA
New York, NY
San Francisco, CA - Experience
- 9+ years in BI and Data Warehousing; experience scaling and managing 10+ person teams and managing managers.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
About the job
Leads analytics data engineering for monetization capacity, overseeing BI, data warehousing, data pipelines, and reliability across Meta’s ads infrastructure.
What you'll do
- Manage dashboards, data visualizations, data models, and production pipelines; drive data quality and service-level agreements.
- Set BI and data warehousing strategy and plans for a product vertical, and define operational processes for project management and system reliability.
- Build and scale the data warehousing team and collaborate with data scientists, product managers, and software engineers.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 9+ years of experience in BI and Data Warehousing.
- Experience scaling and managing 10+ person teams, managing managers, and leading cross-functional initiatives.
- Project management, data architecture, SQL or similar languages, object-oriented language development, and experience with data sets, Hadoop, and data visualization tools.
Nice to have
- Advanced degree.
- Experience in a consumer web or mobile company.
Pay
$210,000/year to $281,000/year base salary
Tools
SQL, Python, Java, Hadoop
AI focus
Demonstrated ongoing AI skill development, including prompt/context engineering or agent orchestration; integrate AI tools to optimize or redesign workflows and drive measurable impact; apply responsible, ethical AI practices such as risk assessment, bias mitigation, and quality and accuracy reviews.
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