Data Engineer, Product Analytics

Meta

Meta is a leading technology firm, renowned for connecting billions through platforms like Facebook and Instagram. As a Data Engineer, one will work with cutting-edge data architectures to enhance Meta's extensive application suite. This role is integral to crafting data-driven solutions that refine user experience and business growth across Meta's technological ecosystem.

In this role you can expect to have the responsibilities:

• Conceptualize data architecture for large-scale projects, balancing design and operational costs.
• Enhance logging data frameworks and troubleshoot data infrastructure issues.
• Collaborate with teams to translate data needs into actionable insights.
• Establish and manage Service Level Agreements for data sets.
• Implement security models based on privacy requirements and address data quality issues.
• Design and launch complex data models and visualizations supporting various products.
• Address data integration challenges using optimal ETL patterns and frameworks.
• Optimize existing data processes in production through advanced algorithms.
• Improve pipelines and frameworks to streamline data artifact development.
• Influence cross-functional teams to identify impactful data opportunities.
• Mentor team members through actionable feedback.

This role comes with the following benefits:

• Meta offers competitive compensation along with a comprehensive benefits package.

This role requires you to have:

• Bachelor's degree in Computer Science or related field.
• 4+ years of data-centric experience in roles like data analyst or engineer.
• Proficiency in SQL, ETL, data modeling, and a programming language such as Python or Scala.

You would benefit from having:

• Master's or Ph.D. in a STEM field.

Compensation is based on skills, qualifications, experience, and location, exclusive of bonuses and incentives.