Data Engineer, Analytics (Technical Leadership)

What you'll do

• Drive the vision and execution plan for data foundations and analytics across Instagram components.
• Own data architecture, integrations, pipelines, models, visualizations, and production processes; manage SLAs, privacy safeguards, data quality, and governance.
• Partner with cross-functional teams, influence product decisions with data, and mentor team members.

What they ask for

• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
• 12+ years of experience in the data warehouse space, custom ETL design, implementation and maintenance, object-oriented programming, schema design and dimensional data modeling, and authoring SQL statements.
• Knowledge and practical application of Python; experience analyzing data, managing and communicating data warehouse plans, and influencing product decisions with data.
• Experience working with either a MapReduce or an MPP system.

Nice to have

• Experience implementing responsible, ethical AI practices and integrating AI tools to improve workflows and measurable outcomes.
• Ongoing AI skill development and experience independently driving projects across distributed or global teams.

Pay

$253,000/year to $314,000/year (base salary)

Tools

Python, SQL, MapReduce, MPP

AI focus

Apply responsible, ethical AI practices and integrate AI tools to optimize or redesign workflows; continue developing AI skills, including prompt/context engineering and agent orchestration.