The Data Engineer role at Meta focuses on building a robust data foundation to support various products and enhance user experience. The position involves collaboration with Product Managers, Data Scientists, and Software Engineers to drive data architecture and analytics. The ideal candidate will have extensive experience in data infrastructure and analytics systems, with a strong emphasis on security, privacy, and governance. This role offers the opportunity to work with large-scale data projects and influence company growth through data-driven decisions.

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field.
• 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.

• Proactively drive the vision for data foundation and analytics to accelerate building and improvement of cross-platform components across Instagram.
• 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 our most challenging data integration problems utilizing optimal ETL patterns, frameworks, and query techniques, 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 and receiving actionable feedback.

• Employees at Meta are often offered comprehensive benefits, including medical/dental/vision coverage, mental-health resources, family planning support (fertility, adoption, surrogacy), and caregiving programs. Financial benefits typically include a competitive retirement plan, equity awards, life insurance, and access to financial coaching and legal support. Time-off benefits commonly feature generous PTO and holidays, unlimited sick time, various paid leaves, flexible “Global Travel Days,” and a 30-day paid break every five years.