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Data Engineer, Analytics
Data Engineer, Analytics-March 2024
Carson City
Mar 18, 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, Analytics

  Summary:

  Meta Platforms, Inc. (Meta), formerly known as Facebook, Inc., builds technologies that help 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.Instructions on how to apply, click "Apply to Job" online on this web page.

  Required Skills:

  Data Engineer, Analytics Responsibilities:

  Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making

  Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains

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

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

  Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve

  Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership

  Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources

  Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.

  Influence product and cross-functional teams to identify data opportunities to drive impact

  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

  Telecommute from anywhere in the U.S. permitted

  $202,669.04/year to $224,000.00/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:

  Requires a Master's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Business Administration, Business Analytics, Data Analytics, Applied Sciences, or a related field and two years of work experience in the job offered or in a business intelligence or computer-related occupation. Experience requires two years of experience in the following:

  Features, design, and use-case scenarios across a big data ecosystem

  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

  MapReduce or MPP system

  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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