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Data Engineer


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 Engineer Responsibilities:

1. Execute data warehouse plans for a product or a group of products to solve well-scoped problems

2. Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve

3. Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way

4. Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership

5. Design, build and launch new data models and visualizations in production, leveraging common development toolkits

6. Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries

7. Support existing processes running in production and implement optimized solutions with limited guidance

8. Define and manage SLA for data sets in allocated areas of ownership

9. May telecommute from anywhere in the U.S.

**Minimum Qualifications:**

Minimum Qualifications:

10. Master’s degree in Computer Science, Computer Engineering, Statistics, Management Information Systems, or a related field and 36 months of experience in the job offered or in a related occupation. Experience must include 36 months involving the following:

11. Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale

12. Programming in Python

13. Internet technologies: HTTP, HTML, CSS, and JavaScript

14. Writing SQL statements

15. Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies

16. Data warehousing architecture and plans

17. Schema design

18. SAS

19. Splunk

**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