Data Engineer, Teen & Family Experience (TFE)

Meta is hiring a Data Engineer for the Teen & Family Experience (TFE) team within Meta’s Central Youth organization. The role focuses on creating large-scale data artifacts, metrics, dashboards, and data models that support measurement for teen experiences and parental-controls features.

Role scope

This position involves scoping measurement across a significantly expanded parental-controls and teen-experience surface. The work targets teen-facing features including productive pauses, the non-personalized feed option, nighttime mode, and school mode. Measurement will cover both newly launched features and enhancements to existing capabilities.

Key responsibilities

• Own the end-to-end delivery for each metric, including logging, staging data, building aggregate datasets, supporting the pipeline behind each metric, and enabling dashboards that present results.
• Handle varying ownership splits across metrics, depending on the specific feature and workflow.
• For some metrics, coordinate with teams that log and stage data (for example, using Instagram or Facebook handles), while you build the metric definitions and dashboards.
• For other metrics, perform logging and provide outputs for downstream teams to use.
• Participate in decisions about which team members take which components, based on availability, technical skills across teams, and domain knowledge.

Data engineering and analytics impact

• Guide teams by building effective data artifacts, including datasets and visualizations, to answer key analytical questions.
• Improve existing systems by refining logging approaches, designing scalable data models, and enabling efficient analytical workflows.
• Ensure data security and quality while recommending architecture, development approaches, and data management standards for complex analytical needs.

Product leadership

• Use data to influence product development by identifying opportunities and addressing upcoming challenges.
• Help ensure products deliver value for users and businesses by prioritizing projects and driving solutions that respond to emerging needs.

Communication and influence

• Translate analysis into data-driven storytelling rather than simply presenting raw results.
• Provide clear insights and recommendations to convince and influence partners.
• Build credibility through structured communication, clarity of reasoning, and consistent delivery of strategic support.

Required qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• 4+ years of experience where the primary responsibility involves working with data.
• 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala).

Technologies

• SQL
• ETL
• Data modeling
• Python, C++, C#, Scala

Preferred qualifications

• Master’s or Ph.D degree in a STEM field.
• Experience integrating AI tools to optimize or redesign workflows and drive measurable impact (such as efficiency gains or quality improvements).
• Experience with responsible and ethical AI practices, including risk assessment, bias mitigation, and quality and accuracy reviews.
• Evidence of ongoing AI skill development (such as prompt/context engineering and agent orchestration) and staying current with emerging AI technologies.

Location and compensation

• Location: San Francisco, CA (onsite)
• Compensation: USD 147,000 - 208,000 per year