FreshRemote.Work

Data Engineering Manager

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 Engineering Manager Responsibilities
  • Drive the vision for Business Intelligence (BI) and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.
  • Define the processes needed to
    achieve operational excellence in all areas, including project management and system reliability.
  • Build a high quality BI and Data Warehousing team and design the team to scale.
  • Build
    cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
  • Coordinate data warehouse plans
    across a product vertical.
  • Drive the design, building, and launching of new data models and data pipelines in production.
  • Oversee development of data resources and support new product
    launches.
  • Drive data quality across the product vertical and related business areas.
  • Oversee the delivery of high impact dashboards and data visualizations.
  • Define and manage SLA's for
    all data sets and processes running in production.
  • Telecommute from anywhere in the US permitted.
Minimum Qualifications
  • Employer will accept a Master's degree in Computer Science, Engineering, Applied Sciences, Mathematics, Statistics, Physics or related field, and 4 years of work experience in job offered or in a data analytics or data warehousing-related occupation. Experience must include 24 months of experience in the following:
  • 1. ETL (Extract, Transform, Load)
  • 2. Data modeling
  • 3. Relational databases (SQL or PL*SQL)
  • 4. Python, Perl, XQuery, JavaScript or Java
  • 5. Hadoop, Hive, MapReduce, or MPI
  • 6. Linux or Unix
  • 7. Shell scripting and performance tuning.
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. $304,043/year to $325,270/year + bonus + equity + benefits

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

Job Profile

Regions

North America

Countries

United States

Restrictions

Telecommute from anywhere in the U.S. permitted

Benefits/Perks

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

Tasks
  • Build and scale BI team
  • Collaborate with cross functional teams
  • Coordinate data warehouse plans
  • Define operational processes
  • Deliver dashboards and visualizations
  • Develop data models and pipelines
  • Drive BI and Data Warehousing vision
  • Ensure data quality
  • Manage SLAs
  • Project management
Skills

Business Intelligence Computer Science Databases Data Modeling Data Pipelines Data Warehousing Design Engineering ETL Hadoop Hive Java Javascript Linux MapReduce Modeling MPI Perl Project Management Python Recruiting Relational databases Shell scripting SQL Statistics UNIX Web XQuery

Experience

4 years

Education

Analytics Applied Sciences Business Business Intelligence Computer Science Data Analytics Design Engineering Management Master Master's degree Master's in Computer Science Mathematics Physics Related Field Statistics Technology

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