Data Engineer, Analytics

$240,050 - $279,400/Yr

Meta - Carson City, NV

posted 2 months ago

Full-time - Mid Level
Remote - Carson City, NV
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About the position

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., is seeking a Data Engineer to join our Analytics team. In this role, you will be responsible for designing, modeling, and implementing data warehousing activities that deliver a robust data foundation, enabling informed decision-making across the organization. You will work closely with engineers, product managers, and data scientists to understand their data needs and represent key data insights visually in a meaningful way. Your contributions will directly impact various products and domains, driving the next evolution in social technology. As a Data Engineer, you will design, build, and launch sophisticated data models and visualizations that support multiple use cases. You will define and manage service level agreements (SLAs) for all data sets within your areas of ownership, ensuring that data quality and governance processes are adhered to. You will also create frameworks that enhance the efficacy of logging data and work with data infrastructure to triage and resolve issues. Your role will involve solving complex data integration problems using optimal ETL patterns and frameworks, sourcing data from both structured and unstructured sources. You will optimize pipelines, dashboards, and systems to facilitate the easier development of data artifacts. Additionally, you will influence product and cross-functional teams to identify data opportunities that drive impact, working on problems of moderate scope that require a comprehensive analysis of various factors. This position allows for telecommuting from anywhere in the U.S., providing flexibility in your work environment.

Responsibilities

  • Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.
  • Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
  • Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
  • Define and manage SLA for all data sets in allocated areas of ownership.
  • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
  • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership.
  • Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
  • Influence product and cross-functional teams to identify data opportunities to drive impact.
  • Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
  • Exercise judgment within defined procedures and practices to determine appropriate action.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, Statistics, Data Science, or a related field.
  • 60 months of progressive, post-baccalaureate 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 experience.
  • Schema design and dimensional data modeling experience.
  • Managing and communicating data warehouse plans to internal clients.
  • Experience with MapReduce or MPP systems.
  • Proficiency in Python.

Benefits

  • Bonus
  • Equity
  • Health benefits
  • Flexible work environment
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