FreshRemote.Work

Data Engineer (Product Analytics)

Menlo Park, CA | Remote, US

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 Facebook 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.
  • Telecommuting is permitted from anywhere in the United States.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or a related field and 36 months of experience in the job offered or a related occupation.
  • Experience must include 36 months involving the following:
  • 1. Custom ETL design, implementation, and maintenance
  • 2. Object-oriented programming languages
  • 3. Schema design and dimensional data modeling
  • 4. Writing SQL statements
  • 5. Analyzing data to identify deliverables, gaps, and inconsistencies
  • 6. Managing and communicating data warehouse plans to internal clients
  • 7. Map Reduce or MPP system
  • 8. Python.
LocationsAbout 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. Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com. $209,720/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. Apply

Job Profile

Regions

North America

Countries

United States

Benefits/Perks

Benefits Bonus Equity Long term conditions Mental health conditions Pregnancy-related support Religious beliefs

Skills

Compliance Computer Science Data Infrastructure Data Modeling Data Warehousing Design Dimensional data modeling Engineering ETL ETL design Map-reduce Modeling MPP Object-oriented Programming Privacy Programming Programming languages Python Recruiting Schema design SQL Statistics Web

Tasks
  • Build data models and visualizations
  • Collaborate with engineers and data scientists
  • Define and manage SLA for data sets
  • Demonstrate good judgment in selecting methods and techniques for obtaining solutions
  • Design data warehousing activities
  • Execute data warehouse plans
  • Identify data needs for business problems
  • Launch data extraction processes
  • Manage SLA for data sets
  • Work on problems of diverse scope
  • Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors
Experience

3 years

Education

Analytics Applied Sciences Bachelor Bachelor's degree Bachelor's degree in Computer Science Business Computer Science Data Analytics Design Engineering Information Systems Mathematics Physics Related Field Statistics Technology

Restrictions

Telecommuting is permitted from anywhere in the United States Telecommuting permitted from anywhere in the United States

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9