Onsite Data Engineer, Analytics (Technical Leadership) at Meta in San Francisco, CA, with a base salary range of USD 210,000 to 281,000 per year.
Responsibilities
- Drive the vision for data foundation and analytics to accelerate cross platform components across Instagram and implement a plan to realize that vision.
- Own the data architecture for multiple large scale initiatives, weighing design choices against operational costs and benefits.
- Build and improve logging data frameworks, partnering with data infrastructure to triage and resolve issues.
- Establish strong cross functional partnerships with Data Scientists, Product Managers, and Software Engineers to translate data needs into solutions.
- Define and manage service level agreements for datasets within areas of ownership.
- Define security models aligned with privacy requirements, enforce safeguards, address data quality issues, and evolve governance processes.
- Design, build, and launch sophisticated data models and visualizations supporting use cases across products and domains.
- Address complex data integration challenges using optimal ETL patterns, frameworks, and query techniques across structured and unstructured sources.
- Contribute to ownership of existing production processes and optimize code through advanced algorithmic approaches.
- Optimize pipelines, dashboards, frameworks, and systems to streamline development of data artifacts.
- Influence product and cross functional teams to identify data opportunities with measurable impact.
- Mentor team members by delivering and receiving actionable feedback.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, a related 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 authoring SQL statements.
- Experience analyzing data to identify deliverables, gaps, and inconsistencies.
- Experience managing and communicating data warehouse plans to internal clients.
Technologies
- Python
- SQL
- MapReduce
- MPP system
Benefits
Preferred Qualifications
- BS/BA in a technical field, Computer Science or Mathematics.
- Experience with MapReduce or an MPP system.
- Knowledge and practical application of Python.
- Ability to work autonomously in global teams.
- Experience influencing product decisions with data.
- Ability to integrate AI tools to optimize workflows and drive measurable impact.
- Experience adhering to responsible, ethical AI practices including risk assessment and bias mitigation.
- Ongoing AI skill development and staying current with emerging AI technologies.
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. It has powered major platforms like Facebook, Messenger, Instagram, and WhatsApp, and is advancing toward immersive experiences in augmented and virtual reality to shape the next evolution of social technology.
Meta is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, veteran status, disability, or other protected characteristics. Meta provides reasonable accommodations for candidates with disabilities in our recruiting process. If accommodations are needed, please contact accommodations-ext@meta.com.
Compensation ranges from USD 210,000 to USD 281,000 per year, plus bonus, equity, and benefits. Individual compensation is determined by skills, qualifications, experience, and location.
