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Data Analytics Engineer
Data Analytics Engineer-March 2024
Menlo Park
Mar 28, 2026
ABOUT META
We’re building a team as diverse as the communities and billions of people we serve every day. Our teammates don’t need to conform here. Lived experiences are an asset, and we value your unique perspe
10,000+ employees
Social Media, Technology
VIEW COMPANY PROFILE >>
About Data Analytics Engineer

  Summary:

  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 Analytics Engineer Responsibilities:

  Coordinate and execute data warehouse plans for a product or a group of products to solve well-scoped problems.

  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.

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

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

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

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

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

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

  Minimum Qualifications:

  Minimum Qualifications:

  Master’s degree in Computer Science, Data Science, Information Systems, or a related field. 24 months of experience in the job offered or in a related occupation. Experience must include 24 months of experience in the following skills and technologies:

  Custom ETL design, implementation and maintenanceObject-oriented programming languagesSchema design and dimensional data modelingManaging and communicating data warehouse plans to internal clientsWriting SQL statementsAnalyzing data to identify deliverables, gaps and inconsistencies.Public Compensation:

  $177,868/year to $191,000/year + bonus + equity + benefits

  Industry: Internet

  Equal Opportunity:

  Meta is proud to be an Equal Employment 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. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

  Meta 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 [email protected].

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