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Data Engineering Manager, Analytics


Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, WhatsApp, and Novi further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

**Required Skills:**

Data Engineering Manager, Analytics Responsibilities:

1. Lead Engineers working with the engineering teams to build products and/or infrastructure required to support the products at scale

2. Make sure that the technology stack handles the needs of the product and is flexible enough to scale as requirements change and usage increases

3. Understand technical architectures, tooling needs, automation plans, product launch plans, and other issues and create comprehensive plans for prioritizing technical and resourcing challenges

4. Communicate cross-functionality and provide constructive feedback into how the product is designed and help craft solutions to difficult user experience and system integrations problems

5. Hold technical discussions within organization and have strategic influence

6. Drive engineering efforts

7. Balance the need to "keep things running" with allocating time to long-term, high-impact projects

8. Mentor engineers on team

9. Recruit and hire engineers

10. Play a critical role in helping to set the goals and direction for team

11. May telecommute from anywhere in the U.S. (Remote worker benefit)

**Minimum Qualifications:**

Minimum Qualifications:

12. Master’s degree in Computer Science, Engineering, Business Administration, or related field and 24 months of experience in the job offered or in a related occupation. Experience must include 24 months involving the following:

13. Business Intelligence and Data Warehousing

14. Data architecture

15. Writing SQL statements

16. Programming in Python, Perl, or Java

17. Driving the vision for BI and Data Warehousing across a product vertical, and defining and executing on a plan to achieve that vision

18. Managing delivery of high impact dashboards and data visualizations

19. Driving data quality across the product vertical

20. Driving the design, building, and launching of new data models and data pipelines in production

**Industry:** Internet

**Equal Opportunity:** Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at

Data Engineering Manager, Analytics

Full time
Carson City, NV

Published on 09/17/2022

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