Data Engineer (analytics)

Data Engineer (Analytics)

Burlingame, CA • Full Time

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

Responsibilities

• Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.
• Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
• Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
• Define and manage SLA for all data sets in allocated areas of ownership.
• Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
• 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.
• Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
• 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.
• Work on problems of moderate scope where analysis of situations or data requires a review of a variety of factors.
• Exercise judgment within defined procedures and practices to determine appropriate action.

Minimum Qualifications

• Master's degree (or foreign equivalent) in Business Analytics, Data Analytics, Statistics, or a related field.
• Requires completion of one graduate-level course, one research project, or one internship involving the following:
• Features, design, and use-case scenarios across a big data ecosystem.
• Custom ETL design, implementation, and maintenance.
• Object-oriented programming languages.
• Schema design and dimensional data modeling.
• Writing SQL statements.
• Analyzing data to identify deliverables, gaps, and inconsistencies.
• Managing and communicating data warehouse plans to internal clients.
• MapReduce or MPP system.
• Python.

$209,720/year to $235,400/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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