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Data Engineer (Product Analytics)
Data Engineer (Product Analytics)-March 2024
Cheyenne
Mar 17, 2025
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
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About Data Engineer (Product Analytics)

  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 Engineer (Product Analytics) Responsibilities:

  Design, model, or implement data warehousing activities in order to contribute to the design and development of Facebook products

  Manage 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 creating 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

  Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors

  Demonstrate good judgment in selecting methods and techniques for obtaining solutions

  Telecommuting is permitted from anywhere in the United States

  Salary: $169,832.00 to $191,000.00 per year + bonus + equity + benefits. Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus or equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta at this link: https://www.metacareers.com/facebook-life/benefits

  Minimum Qualifications:

  Minimum Qualifications:

  Master's degree in Computer Science, Engineering, Information Systems, Statistics, Data Analytics, Applied Sciences, or a related field and 12 months of experience in the job offered or in a data-science related occupation. Experience must include 12 moths involving the following:

  Custom ETL design, implementation, and maintenance

  Object-oriented programming languages

  Schema design and dimensional data modeling

  Writing SQL statements

  Analyzing data to identify deliverables, gaps and inconsistencies

  Managing and communicating data warehouse plans to internal clients

  Python

  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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