Data Engineer, Product Analytics

Menlo Park, CA | Remote, US

Meta

Giving people the power to build community and bring the world closer together

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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.Data Engineer, Product Analytics Responsibilities
  • Design, model, or implement data warehousing activities in order to contribute to the design and development of Meta 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.
  • Telecommute from anywhere in the U.S. permitted.
Minimum Qualifications
  • Requires a Bachelor's degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field, followed by five years of progressive, post-baccalaureate work experience in the job offered or in a computer-related occupation
  • Requires five years of experience in the following:
  • 1. Custom ETL design, implementation, and maintenance
  • 2. Schema design and dimensional data modeling
  • 3. Writing SQL statements
  • 4. Analyzing data to identify deliverables, gaps and inconsistencies
  • 5. Managing and communicating data warehouse plans to internal clients
  • 6. MapReduce or MPP system
For those who live in or expect to work from California if hired for this position, please click here for additional information. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
$223,950/year to $235,400/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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Tags: Computer Science Data Analytics Data quality Data warehouse Data Warehousing Engineering ETL Mathematics MPP Physics Privacy Security SQL Statistics VR

Perks/benefits: Career development Equity / stock options Health care Salary bonus

Regions: Remote/Anywhere North America
Country: United States

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