Data Engineer, Analytics (Technical Leadership)
- Location
- Menlo Park, CA (Remote)
- Job type
- Full-time
- Level
- Lead / Staff
- Listed
- 29 days ago
Skills & highlights for this role
- data infrastructure
- data architecture
- end-to-end analytics systems
Also useful
- security and privacy data solutions
- company-wide data marts
About the role
Every month, billions of people leverage Meta products to connect with friends and loved ones from across the world. On the Data Engineering Team, our mission is to support these products both internally and externally by delivering the best data foundation that drives impact through informed decision making. As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community.
We are looking for a technical leader in our Data Engineering team to work closely with Product Managers, Data Scientists and Software Engineers to support building out a great platform for the future of computing. In this role, you will view a direct correlation between your work, company growth, and user satisfaction. You’ll work with some of the best minds in the industry, work with one of the richest data sets in the world, use cutting edge technology, and see your efforts affect products and people on a regular basis.
The ideal candidate will have demonstrated experience in data infrastructure and data architecture as well as areas such as governing company wide data marts, enabling security and privacy data solutions, and full stack experience with analytical technologies. Candidates should also have a proven track record of leading and scaling efforts related to end-to-end analytics systems, operational skills to drive efficiency and speed, project management leadership, and a vision for how data can proactively improve companies.
As we continue to expand and create, we have a lot of exciting work ahead of us!
From Meta's careers page, first listed on Rolev.ai on October 12, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
Where is the Data Engineer, Analytics (Technical Leadership) job at Meta located?
Yes, this Data Engineer, Analytics (Technical Leadership) opening at Meta is listed as Menlo Park, CA (Remote). Always check Meta's application page for specific state eligibility or relocation policies.
What qualifications are required for Data Engineer, Analytics (Technical Leadership) at Meta?
For the Data Engineer, Analytics (Technical Leadership) role, Meta highlights experience with data infrastructure, data architecture, end-to-end analytics systems. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Data Engineer, Analytics (Technical Leadership) position at Meta?
This listing links directly to Meta's application page. You can apply directly on Meta's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.