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Closed on July 31, 2026.
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Data Engineer, Product Analytics (University Grad)
Analytics
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Governance
Data Integration
Data Management
Data Modeling
Data Platform
Data Security
Data Warehouse
Database
ETL
Product Analytics
SQL
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Job Description
Meta offers a data driven, collaborative environment where you can build scalable data solutions that inform product decisions and growth across Meta's apps. This on-site role in Bellevue, WA pays $99,008 to $139,000 per year and includes Bonus, Equity, and Benefits. You will partner with software engineers, data scientists, and product managers to transform data into actionable insights.
Benefits
- Bonus
- Equity
- Benefits
Responsibilities
- Plan and implement data warehouse strategies for a product or product group to address clearly defined problems
- Identify data requirements for business challenges and implement logging to ensure data availability, coordinating with data infrastructure to triage and resolve issues
- Collaborate with engineers, product managers, and data scientists to interpret data needs and present insights in a meaningful way
- Develop data expertise and apply data controls to ensure privacy, security, compliance, data quality, and smooth operations for assigned domains
- Design, build, and deploy new data models and production ready visualizations using standard development toolkits
- Independently design, build and deploy new data extraction, transformation, and loading processes in production, mentoring others on efficient queries
- Maintain existing production processes and deliver optimized solutions with limited guidance
- Define and manage Service Level Agreements for data sets within owned areas
Requirements
- Proficiency in SQL
- Programming experience in Python
- Knowledge of database systems
- Must have work authorization in the country of employment at the time of hire and maintain it throughout employment
Technologies
- SQL
- Python
Preferred Qualifications
- Curious, self-driven, analytical and excited to work with data
- Experience thriving in a fast paced work environment
- Experience collaborating with individuals and organizations across teams
- Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact
- Experience implementing responsible, ethical AI practices including risk assessment, bias mitigation, and quality reviews
- Ongoing AI skill development and familiarity with emerging AI technologies
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