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Data Engineer
Data Engineer-January 2024
Seattle
Jan 7, 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

  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 Responsibilities:

  Design, build, and launch data pipelines to move data across systems and build the next generation of data tools that generate business insights for a product.

  Analyze user needs and software requirements to determine workability and to offer support for end users on data usage.

  Design, architect, and develop software and data solutions that help product and business teams make data-driven decisions.

  Rethink and influence strategy and roadmap for building efficient data solutions and scalable data warehouse plans.

  Design, develop, test, and launch new data models and processes into production, and provide support.

  Leverage homegrown extract, transform, and load (ETL) framework as well as off-the-shelf ETL tools, as appropriate.

  Interface closely with data infrastructure, product, and engineering teams to build and extend cross platform ETL and reports generation framework.

  Identify data infrastructure issues and drive to resolution.

  Salary: $128,291.00 to $149,000.00 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:

  Bachelor’s degree in Computer Science, Informatics, Engineering, Information Systems, Analytics, Statistics, Mathematics, or a related field. 24 months experience required in the job offered or in a computer-related occupation. Experience must include 24 months of experience in the following skills and technologies:

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

  Programming in Python

  Internet technologies: JavaScript

  Writing SQL statements

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

  Data warehousing architecture and plans

  Dimensional data modeling

  Schema Design

  MPP system

  Query data lakes with Redshift Spectrum

  Cloud computer and Cloud machine learning using Kubernetes, Docker, and EC 2 instances

  Parsing and mining TBs of unstructured data using Athena and Glue

  Public Compensation:

  $128,291/year to $149,000/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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