Data Engineer, Product Analytics

Meta offers a remote Data Engineer, Product Analytics role with a competitive salary range of USD 147,000 to 208,000 per year, plus bonus, equity, and comprehensive benefits. You will help build scalable data architectures and visualizations that inform product decisions across billions of users. Collaborate with engineers, data scientists, and product managers to design data solutions that optimize growth, strategy, and user experience.

Benefits

• Bonus
• Equity
• Benefits

Responsibilities

• Conceptualize and own the data architecture for multiple large-scale projects, evaluating design and operational cost-benefit tradeoffs within systems
• Create and contribute to frameworks that improve the efficacy of logging data, collaborating with data infrastructure to triage issues and resolve
• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
• Define and manage Service Level Agreements for all data sets in allocated areas of ownership
• 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
• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
• Solve challenging data integration problems using optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
• Assist in owning existing production processes, optimizing complex code through advanced algorithmic concepts
• 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
• Mentor team members by giving and receiving actionable feedback

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience
• 4+ years of experience in a data-focused role such as data analyst, data scientist, data engineer, or similar
• 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

Technologies

• SQL
• Python
• C++
• C#
• Scala
• ETL

Preferred Qualifications

• Master's or PhD in a STEM field
• Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact
• Experience applying responsible, ethical AI practices, including risk assessment and bias mitigation
• Ongoing AI skill development and familiarity with emerging AI technologies