Senior Data Engineer, Analytics Platform & Strategy

Meta; Juneau (AK); On-site; USD 210,000 - 281,000; Full time

Job summary

Meta is seeking a senior Data Engineer on our Data Engineering team in the United States. You will lead data foundation initiatives, own cross-platform analytics architecture, and collaborate with data scientists, product managers, and software engineers to deliver scalable data solutions.

The role emphasizes end-to-end analytics, governance, and security with opportunities to impact product decisions and drive efficiency across teams.

Qualifications

• Bachelor's degree in CS/CE or equivalent practical experience.
• 10+ years in the data warehouse space.
• 10+ years 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.

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

Data Engineering Leadership

Cross-functional collaboration

SQL

ETL design

Data modeling

Education

Bachelor's degree in CS/CE or equivalent

Tools

Python

MapReduce

MPP system

SQL

Job description

Meta is seeking a senior Data Engineer on our Data Engineering team in the United States. You will lead data foundation initiatives, own cross-platform analytics architecture, and collaborate with data scientists, product managers, and software engineers to deliver scalable data solutions.

The role emphasizes end-to-end analytics, governance, and security with opportunities to impact product decisions and drive efficiency across teams.