Data Engineer, Analytics

$180,835 - $196,900/Yr

Meta - Concord, NH

posted 3 months ago

Full-time - Mid Level
Remote - Concord, NH
5,001-10,000 employees
Web Search Portals, Libraries, Archives, and Other Information Services

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 will serve as the foundation for data-driven decision-making across the organization. You will work closely with engineers, product managers, and data scientists to understand their data needs and create sophisticated data models and visualizations that support various use cases across different products and domains. Your responsibilities will include defining and managing service level agreements (SLAs) for all data sets within your areas of ownership, as well as creating frameworks that enhance the efficacy of logging data. You will also be tasked with determining and implementing security models based on privacy requirements, ensuring that safeguards are followed, and addressing any data quality issues that arise. Additionally, you will solve complex data integration problems using optimal ETL patterns and frameworks, while sourcing data from both structured and unstructured sources. As a Data Engineer, you will optimize pipelines, dashboards, frameworks, and systems to facilitate the easier development of data artifacts. You will have the opportunity to influence product and cross-functional teams to identify data opportunities and work on diverse problems that require thorough analysis of identifiable factors. Your role will demand good judgment in selecting the appropriate methods and techniques for obtaining solutions. This position allows for telecommuting from anywhere in the US, 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.
  • Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
  • Demonstrate good judgment in selecting methods and techniques for obtaining solutions.

Requirements

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

Benefits

  • Bonus
  • Equity
  • Health benefits
  • Flexible work environment
  • Telecommuting options
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