Data Engineer, Analytics (Technical Leadership)

About the Role

We are looking for a technical leader in our Data Engineering team to work closely with Product Managers, Data Scientists, and Software Engineers to support building out a great platform for the future of computing. In this role, you will see a direct correlation between your work, company growth, and user satisfaction. You’ll work with some of the best minds in the industry, use one of the richest data sets in the world, leverage cutting-edge technology, and see your efforts affect products and people on a regular basis.

Responsibilities

• Proactively drive the vision for data foundation and analytics to accelerate building and improvement of cross-platform components across Instagram, and define and execute on the plan to achieve that vision.
• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems.
• Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
• Build cross-functional relationships with Data Scientists, Product Managers, and Software Engineers to understand data needs and deliver on those needs.
• Define and manage SLA 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 use cases across different products or domains.
• Solve challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
• Assist in owning existing processes running in production, 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/receiving actionable feedback.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 10+ years of experience in the data warehouse space.
• 10+ years of experience in custom ETL design, implementation, and maintenance.
• 10+ years of experience with object-oriented programming languages.
• 10+ years of experience with schema design and dimensional data modeling.
• 10+ years of experience in authoring SQL statements.
• Experience analyzing data to identify deliverables, gaps, and inconsistencies.
• Experience managing and communicating data warehouse plans to internal clients.

Preferred Qualifications

• BS/BA in Technical Field, Computer Science, or Mathematics.
• Experience working with either a MapReduce or an MPP system.
• Knowledge and practical application of Python.
• Experience working autonomously in global teams.
• Experience influencing product decisions with data.
• 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.

Pay

$210,000/year to $281,000/year + bonus + equity + benefits. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only and do not include bonus, equity, or benefits.

Benefits

Meta offers benefits. Learn more about benefits at Meta.