[Remote] Data Engineer, Analytics (Technical Leadership)

Note: The job is a remote job and is open to candidates in USA. Meta builds technologies that help people connect, find communities, and grow businesses. Meta is seeking a technical leader in its Data Engineering team to drive the vision and architecture of data foundations and analytics for Instagram, collaborate with cross-functional teams, and deliver scalable data solutions. The role also involves optimizing production processes, advancing data governance and security, and mentoring team members.

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 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 our most challenging data integrations problems, utilizing optimal ETL patterns, frameworks, 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/receiving actionable feedback

Skills

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

Company Overview

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