Data Engineer for Product Analytics at Meta in Menlo Park, CA (onsite), with a salary range of USD 114,000 - 173,000 per year.

Plan and execute data warehouse initiatives for a product or group of products to address clearly defined problems.
Determine data requirements for business problems and implement the necessary logging to ensure data availability, coordinating with data infrastructure to triage and resolve issues.
Collaborate with engineers, product managers, and data scientists to capture data needs and present key insights in a meaningful way.
Develop domain data expertise and apply privacy, security, compliance, data quality, and operational controls for your areas of ownership.
Design, build, and deploy new data models and visualizations in production using standard development toolkits.
Independently design, build, and deploy new ETL processes in production, mentoring others on efficient querying.
Support existing production processes and implement optimized solutions with limited guidance.
Define and manage service level agreements for data sets in your ownership area.

2+ years of experience with SQL, ETL, data modeling, and at least one programming language (for example Python, C++, C#, Scala, or similar).

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 wil

Data Engineer, Product Analytics

Job Description