Data Engineer (Analytics)

$166,698 - $166,698/Yr

Meta - Seattle, WA

posted 2 months ago

Full-time - Mid Level
Seattle, WA
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About the position

As a Data Engineer (Analytics) at Meta Platforms, Inc., you will play a crucial role in designing, modeling, and implementing data warehousing activities. Your primary responsibility will be to create a robust data foundation that enables informed decision-making across the organization. This position requires a deep understanding of data architecture and the ability to work with large datasets to ensure that data is accessible, reliable, and actionable. You will collaborate with cross-functional teams to identify data needs and develop solutions that drive business impact. Your work will directly influence how data is utilized to inform strategic decisions, making your role vital to the success of the company. In this position, you will be expected to leverage your technical skills to build and maintain data pipelines, ensuring that data flows seamlessly from various sources into the data warehouse. You will also be responsible for optimizing data storage and retrieval processes, implementing best practices for data governance, and ensuring data quality. Additionally, you will have the opportunity to work with advanced analytics tools and technologies, contributing to the development of innovative data solutions that enhance the overall analytics capabilities of the organization. The ideal candidate will have a strong background in data engineering, with experience in data warehousing, ETL processes, and data modeling. You should be comfortable working in a fast-paced environment and be able to adapt to changing business needs. Your ability to communicate effectively with both technical and non-technical stakeholders will be essential in this role, as you will need to translate complex data concepts into actionable insights for the business.

Responsibilities

  • Design and implement data warehousing solutions to support analytics initiatives.
  • Model data structures to optimize data storage and retrieval.
  • Collaborate with cross-functional teams to gather data requirements and deliver solutions.
  • Ensure data quality and integrity through rigorous testing and validation processes.
  • Develop and maintain ETL processes to integrate data from various sources into the data warehouse.
  • Monitor and optimize data pipelines for performance and efficiency.
  • Implement best practices for data governance and compliance.

Requirements

  • Proven experience as a Data Engineer or in a similar role.
  • Strong knowledge of data warehousing concepts and best practices.
  • Experience with ETL tools and data integration techniques.
  • Proficiency in SQL and experience with relational databases.
  • Familiarity with big data technologies such as Hadoop, Spark, or similar frameworks.
  • Ability to work with cloud-based data solutions (e.g., AWS, Google Cloud).
  • Strong analytical and problem-solving skills.

Nice-to-haves

  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Knowledge of machine learning concepts and applications.
  • Familiarity with programming languages such as Python or Java.

Benefits

  • Health insurance coverage
  • Dental insurance coverage
  • Vision insurance coverage
  • 401(k) retirement savings plan
  • Paid time off and holidays
  • Tuition reimbursement
  • Professional development opportunities
  • Employee stock purchase plan
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