Data Engineer, Analytics

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses.
$177,140 - $196,900
Data
Mid-Level Software Engineer
Hybrid
5,000+ Employees
2+ years of experience
AI · Enterprise SaaS · Social Media

Description For Data Engineer, Analytics

Meta is seeking a Data Engineer, Analytics to join their team. This role involves designing, modeling, and implementing data warehousing activities to deliver the data foundation that drives impact through informed decision making. The ideal candidate will collaborate with engineers, product managers, and data scientists to understand data needs and represent key data insights visually. Responsibilities include creating sophisticated data models and visualizations, defining and managing SLAs for data sets, implementing security models, and optimizing pipelines and dashboards. The role requires a Master's degree in a relevant field and two years of experience in various aspects of data engineering and analytics. Meta offers a competitive salary range of $177,140 to $196,900 per year, plus bonus, equity, and benefits. The company is committed to providing reasonable accommodations and equal employment opportunities. This position offers an exciting opportunity to work on cutting-edge technologies and contribute to Meta's mission of connecting people and building communities.

Last updated 2 months 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 efficacy
  • Implement security models and address data quality issues
  • Solve challenging data integration problems
  • Optimize pipelines, dashboards, frameworks, and systems
  • Influence product and cross-functional teams to identify data opportunities
  • Work on problems of diverse scope requiring evaluation of identifiable factors

Requirements For Data Engineer, Analytics

Python
  • Master's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Analytics, Applied Sciences, or related field
  • Two years of work experience in the job offered or in a computer-related occupation
  • Experience with features, design, and use-case scenarios across a big data ecosystem
  • Custom ETL design, implementation, and maintenance
  • Object-oriented programming languages
  • Schema design and dimensional data modeling
  • Writing SQL statements
  • Analyzing data to identify deliverables, gaps, and inconsistencies
  • Managing and communicating data warehouse plans to internal clients
  • Python

Benefits For Data Engineer, Analytics

401k
Equity
Medical Insurance
Dental Insurance
Vision Insurance
  • 401k
  • Equity
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance

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