
Data Engineer, Teen & Family Experience (TFE)
Required skills
- Computer Engineering
- data analyst
- data scientist
- data engineer
- Python
- C++
- C#
- Scala
- SQL
- ETL
Nice to have
- AI tools
- responsible AI
- ethical AI
- prompt engineering
- agent orchestration
Role summary
Meta is seeking a Data Engineer for the Teen & Family Experience (TFE) team, focusing on building and scaling data solutions across their family of applications. This role involves designing and implementing data models, logging solutions, and ETL pipelines to support measurement of teen-facing features like parental controls, productive pauses, and school mode. You will be responsible for the end-to-end metric lifecycle, from logging to dashboarding, ensuring data quality and security. The position requires 4+ years of experience with SQL, ETL, data modeling, and a programming language like Python. Preferred qualifications include AI integration and ethical AI practices. The role offers a salary range of $147,000 to $208,000 per year, plus bonus, equity, and benefits.
Responsibilities
- Scope significantly expands the parental-controls and teen-experience surface needing measurement.
- The expanded surface is concrete and teen-facing: productive pauses, the non-personalized feed option, nighttime mode, and school mode.;.
- Measurement for a large slate of parental-controls and teen-experience features, both new and newly enhanced.;.
- Accountable end to end for each metric: logging, staging data, aggregate datasets, the pipeline work behind them, and the dashboards that surface the result.;.
- The split of that work varies by metric.
- On some, Instagram or Facebook handle the logging and staging and this person builds the metrics and dashboards; on others this person does the logging and hands off.
- Deciding who takes which piece — based on availability, technical skills across teams, and domain knowledge — is part of the role.
Minimum Qualifications
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
- 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)
Preferred Qualifications
- Master's or Ph.D degree in a STEM field
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
$147,000/year to $208,000/year + bonus + equity + benefits
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