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 U.S permitted.
Minimum Qualifications
  • Requires a Master's degree (foreign degree equivalent accepted) 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.
  • Requires 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.
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.
$304,043/year to $325,270/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 and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action 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 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@meta.com. Apply

Job Profile

Regions

North America

Countries

United States

Restrictions

Additional info for California residents Telecommute from anywhere in the US permitted

Benefits/Perks

Accommodations Benefits Bonus Comprehensive benefits Equity Individual compensation Long term conditions Mental health conditions Pregnancy-related support Religious beliefs

Tasks
  • Build
  • Build and scale BI team
  • Coordinate data warehouse plans
  • Define processes for operational excellence
  • Deliver dashboards and visualizations
  • Design
  • Design and launch data models and pipelines
  • Drive vision for BI and data warehousing
  • Ensure data quality
  • Manage SLAs for data sets
  • Oversee data resources and product launches
  • Project management
Skills

Analytics Business Business Intelligence Computer Science Dashboards Databases Data engineering Data Modeling Data Pipelines Data Quality Data Warehousing Design Engineering ETL Hadoop Hive Identity Java Javascript Linux MapReduce Mathematics Modeling MPI Operational Excellence Performance Tuning Perl Physics Project Management Python Recruiting Relational databases Scripting Shell Shell scripting SQL Statistics UNIX Virtual reality Web XQuery

Experience

4 years

Education

Analytics Applied sciences Business Computer Science Data Analytics Design Engineering Equivalent Foreign Degree Equivalent Management Master Master's Master's degree 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