• Data Engineer

    Meta (New York, NY)


    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, and WhatsApp 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. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems.

    2. Create and contribute to frameworks that improve the efficacy of logging 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. Define and manage Service Level Agreements for all data sets in allocated areas of ownership.

    5. 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.

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

    7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.

    8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.

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

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

    11. Mentor team members by giving/receiving actionable feedback.

    Minimum Qualifications:

    Minimum Qualifications:

    12. Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, Mathematics or related field

    13. Requires completion of one undergraduate-level course, one research project, or one internship involving the following

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

    15. Custom ETL design, implementation, and maintenance

    16. Object-oriented programming languages

    17. Schema design and dimensional data modeling

    18. Writing SQL statements

    19. Analyzing data to identify deliverables, gaps, and inconsistencies

    20. Managing and communicating data warehouse plans to internal clients

    21. MapReduce or MPP system

    22. Python

    23. Working closely with ML engineers, and experimentation at scale

    24. ML architectures (deep learning) and ways to improve model performance (feature engineering, hyperparameter optimization, large models)

    Public Compensation:

    $214,002/year to $235,400/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].