The Data Engineer, Analytics (Ranking, AI) role at Meta focuses on designing scalable data architectures, logging frameworks, and data models to support Ranking AI initiatives within Meta's Ads stack. You will collaborate with software engineering, data science, and product management teams to translate data into growth opportunities across over three billion users.
Location and Compensation
Location: Bellevue, WA (onsite)
Salary: USD 177,000 - 247,000 per year
Responsibilities
- Conceptualize and own the data architecture for multiple large-scale projects, 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
- Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way
- Define and manage Service Level Agreements 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 multiple use cases across different products or domains
- Solve our most challenging data integration 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 and receiving actionable feedback
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
- 7+ years of experience with primary responsibility in data roles such as data analyst, data scientist, data engineer, or similar
- 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (for example Python, C++, C#, Scala or others)
Technologies
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. Meta is expanding from 2D screens toward immersive experiences such as augmented and virtual reality to drive the next evolution in social technology. People who choose to build their careers at Meta help shape a future that extends beyond what digital connection makes possible today, beyond the constraints of screens, distance, and even the laws of physics.
