Data Engineer Intern, Product Analytics

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    Meta

    10,001+ employeesMenlo Park, CASoftware Development
    Actively hiringPaidSummer 2027Software Development
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    Best applied by Oct 23

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    About the role#

    Data Engineers at Meta build data sets that support applications like Facebook, Instagram, Messenger, WhatsApp, Reality Labs, and Threads. You will work with software engineering, data science, and product management teams to create data solutions that guide strategy and user experience. This role focuses on solving data challenges at scale.

    What you'll do#

    • Architect, implement, and deploy new data models and data processes in production.
    • Perform data analysis to generate business insights.
    • Interface with Engineers, Product Managers, and Data Scientists to understand product goals and data needs.
    • Build data expertise and own data quality for your assigned areas.
    • Manage data warehouse plans for a product or group of products.
    • Support critical data processes running in production.

    What you'll need#

    • Currently pursuing a Bachelors or Masters degree in Computer Science, Information Science, Mathematics, or a related technical field.
    • Knowledge of SQL, data modeling, and at least one programming language such as Python, C++, C#, or Scala.
    • Ability to collaborate with individuals and organizations.
    • A curious, self-driven, and analytical mindset.
    • Intent to return to your degree program after the internship.
    • Must obtain and maintain work authorization in the country of employment.

    Location & details#

    • Locations: Menlo Park, CA; Seattle, WA; New York, NY.
    • Term: Summer 2027.
    • Modality: On-site.
    • Compensation: $7,469 to $9,138 per month.

    About Meta

    Meta develops software and social media applications. It operates platforms such as Facebook, Messenger, Instagram, and WhatsApp. The company maintains headquarters in Menlo Park, California. Current work focuses on augmented and virtual reality alongside artificial intelligence and machine learning.

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