Data Engineer, Meta Superintelligence Labs

$177K–$247K

Menlo Park, CA · Full-time · Posted Sep 9, 2026

Experience: 7+ years working primarily with data; 7+ years with SQL, ETL, data modeling, and at least one programming language.
Education: Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; Master's or Ph.D. degree in a STEM field is also mentioned.

About the job

Builds and owns scalable data architecture, pipelines, models, and visualizations that support Meta products and inform product decisions.

What you'll do

Design and maintain data architecture, logging frameworks, ETL pipelines, datasets, and visualizations for large-scale projects.
Manage data quality, security, privacy safeguards, governance, and Service Level Agreements for owned datasets.
Partner with engineering, product, and data science teams to identify data opportunities and communicate insights.

What they ask for

Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
7+ years of experience working primarily with data.
7+ years of experience with SQL, ETL, data modeling, and at least one programming language.
Demonstrated ability to apply AI tools to workflows and follow responsible, ethical AI practices.

Nice to have

Master's or Ph.D. degree in a STEM field.
Ongoing AI skill development, such as prompt/context engineering or agent orchestration.

Pay

$177,000/year to $247,000/year USD base salary

Tools

SQL, ETL, Python, C++, C#, Scala

AI focus

Integrate AI tools to optimize or redesign workflows, measure impact, apply responsible and ethical AI practices, and develop skills such as prompt/context engineering and agent orchestration.

Model-written summary · the original posting is authoritative