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Data Engineer, Analytics

Meta builds technologies that help people connect, find communities, and grow businesses through apps like Facebook, Messenger, Instagram, WhatsApp, and ventures into AR/VR.
$210,035 - $235,400
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Social Media

Description For Data Engineer, Analytics

Meta is seeking a Data Engineer, Analytics to join their team in Bellevue, WA. This role combines technical expertise in data engineering with business impact through informed decision-making. The position offers a competitive salary range of $210,035 to $235,400 plus benefits and equity.

As a Data Engineer, you'll be responsible for designing and implementing data warehousing solutions, creating sophisticated data models, and building visualizations that support multiple use cases across different products. You'll work closely with engineers, product managers, and data scientists to understand data needs and represent insights visually.

The role requires strong technical skills in Python, SQL, and data modeling, along with experience in ETL design and big data ecosystems. You'll be responsible for managing SLAs, implementing security models, and optimizing data pipelines and frameworks. The position requires 5 years of experience and a bachelor's degree in a relevant technical field.

Meta, formerly Facebook, is a leading technology company that has transformed how people connect through platforms like Facebook, Instagram, WhatsApp, and Messenger. The company is now venturing into immersive technologies like AR and VR. Working at Meta means being part of a team that shapes the future of social technology and digital connection.

The company offers comprehensive benefits including medical insurance, equity, and 401k. This role provides an opportunity to work on challenging problems at scale, influence product decisions through data insights, and contribute to frameworks that improve data logging and analysis efficiency.

The ideal candidate will have strong analytical skills, experience with data warehousing, and the ability to collaborate effectively with cross-functional teams. They should be comfortable working with both structured and unstructured data sources and have a track record of optimizing complex workflows.

Last updated a day ago

Responsibilities For Data Engineer, Analytics

  • Design, model, and implement data warehousing activities
  • Design, build and launch sophisticated data models and visualizations
  • Collaborate with engineers, product managers and data scientists
  • Define and manage SLA for data sets
  • Create and contribute to frameworks that improve logging data
  • Implement security model based on privacy requirements
  • Solve challenging data integration problems using ETL patterns
  • Optimize pipelines, dashboards, frameworks, and systems
  • Influence product and cross-functional teams
  • Work on diverse scope problems requiring data analysis

Requirements For Data Engineer, Analytics

Python
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or related field
  • 5 years of experience with big data ecosystem features and design
  • Experience with custom ETL design and maintenance
  • Knowledge of object-oriented programming languages
  • Experience with schema design and dimensional data modeling
  • Proficiency in writing SQL statements
  • Experience analyzing data to identify deliverables and gaps
  • Experience managing data warehouse plans
  • Knowledge of MapReduce or MPP systems
  • Python programming experience
  • Experience gathering business requirements for complex systems
  • Experience optimizing complex workflows

Benefits For Data Engineer, Analytics

Medical Insurance
Equity
  • Medical Insurance
  • Equity
  • 401k

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