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Meta · 1 day ago

Data Engineer, Product Analytics

San Francisco, CA

Full-time

Onsite

Mid Level

$147K/yr - $208K/yr

4+ years exp

Meta builds technologies that help people connect, find communities, and grow businesses. As a Data Engineer at Meta, you will design and build scalable data solutions to optimize growth and user experience for billions of users and businesses. This role involves collaborating with various teams to address complex data challenges and influence product development through data-driven insights.

Computer Software

Comp. & Benefits

Responsibilities

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

Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights 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 Extract, Transform, Load (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

Qualification

SQLETLData modelingPythonData architectureData visualizationCommunicationMentoring

Required

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions

4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)