Data Engineer, Product Analytics (University Grad)

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