Meta - Chicago, IL

posted 2 months ago

Full-time - Mid Level
Chicago, IL
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About the position

As a Data Engineer at Meta, you will play a crucial role in designing, building, and launching data pipelines that facilitate the movement of data across various systems. Your work will involve developing the next generation of data tools that are essential for generating valuable business insights for our products. This position requires a strong understanding of data architecture and the ability to work with large datasets to ensure that data flows seamlessly and efficiently throughout the organization. You will collaborate with cross-functional teams to understand their data needs and translate them into scalable solutions that enhance our data infrastructure. Your contributions will directly impact how we leverage data to drive decision-making and improve user experiences across our platforms. In this role, you will be expected to utilize your technical skills to implement data processing frameworks and optimize data storage solutions. You will also be responsible for ensuring data quality and integrity, as well as developing documentation and best practices for data management. As Meta continues to innovate and expand its offerings, your expertise will be vital in supporting our mission to connect people and build communities through technology. This position offers an exciting opportunity to work at the forefront of data engineering in a fast-paced and dynamic environment.

Responsibilities

  • Design, build, and launch data pipelines to move data across systems.
  • Develop next-generation data tools that generate business insights.

Requirements

  • Strong understanding of data architecture and data modeling.
  • Experience with data pipeline and ETL (Extract, Transform, Load) processes.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Familiarity with big data technologies like Hadoop, Spark, or Kafka.
  • Ability to work with SQL and NoSQL databases.

Nice-to-haves

  • Experience with cloud platforms such as AWS, Google Cloud, or Azure.
  • Knowledge of machine learning concepts and tools.
  • Familiarity with data visualization tools like Tableau or Power BI.

Benefits

  • Comprehensive health insurance coverage.
  • 401(k) retirement savings plan with company matching.
  • Paid time off and holidays.
  • Employee discounts on products and services.
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