FreshRemote.Work

Senior Data Engineer

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.Senior Data Engineer Responsibilities
  • Design, build, and launch data pipelines to move data across systems and build the next generation of data tools that generate business insights for a product.
  • Analyze user needs and
    software requirements to determine workability and to offer support for end users on data usage.
  • Design, architect, and develop software and data solutions that help product and business
    teams make data-driven decisions.
  • Rethink and influence strategy and roadmap for building efficient data solutions and scalable data warehouse plans.
  • Design, develop, test, and launch
    new data models and processes into production, and provide support.
  • Leverage homegrown extract, transform, and load (ETL) framework as well as off-the-shelf ETL tools, as
    appropriate.
  • Interface closely with data infrastructure, product, and engineering teams to build and extend cross platform infrastructure issues and drive to resolution.
  • Telecommute from
    anywhere in the US permitted.
Minimum Qualifications
  • Requires a Master's degree in Computer Science, Engineering, Mathematics, Physics, or a related field and two years of work experience in the job offered or in a data analytics or computer-related occupation. Requires 6 months of experience in each of the following:
  • 1. Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale.
  • 2. Programming in Python, Perl, Java, or PHP.
  • 3. Internet technologies: HTTP, HTML, CSS, or JavaScript.
  • 4. Writing SQL statements.
  • 5. Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies.
  • 6. Data warehousing architecture and plans.
  • 7. Informatica, Talend, Pentaho, dimensional data modeling, or schema design.
  • 8. LAMP stack development.
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. $246,552/year to $279,400/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
  • Analyze user needs and software requirements
  • Design, architect, and develop software and data solutions
  • Design, build, and launch data pipelines
  • Design, develop, test, and launch new data models and processes
  • Develop software and data solutions
  • Interface closely with data infrastructure, product, and engineering teams
Skills

Architecture Computer Science CSS Data-driven decisions Data Infrastructure Data Modeling Data Pipelines Data Warehousing Design Engineering ETL ETL tools HTML HTTP Informatica Java Javascript LAMP LAMP stack Modeling Pentaho Perl PHP Programming Python Recruiting Schema design SQL Talend Web

Experience

2 years

Education

Analytics Business Computer Science Data Analytics Design Engineering Master Master's degree Master’s Degree in Computer Science Mathematics Physics Related Field 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