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About the Role
Shape the future of people-facing and business-facing products across Meta's family of applications. Utilize technical skills and analytical mindset to design and build large-scale data sets, impacting billions of users and millions of businesses worldwide. Collaborate with cross-functional teams to design and build scalable data solutions, optimizing growth, strategy, and user experience. Be at the forefront of solving complex data challenges at significant scale. Join a data engineering community dedicated to skill development and career growth.
Responsibilities
- Conceptualize and own data architecture for large-scale projects, evaluating design and operational cost-benefit tradeoffs.
- Create and contribute to frameworks that improve logging data efficacy and triage issues with data infrastructure.
- Collaborate with engineers, product managers, and data scientists to understand data needs and represent key data insights.
- Define and manage Service Level Agreements for all data sets within ownership areas.
- Determine and implement security models based on privacy requirements, confirm safeguards, address data quality issues, and evolve governance processes.
- Design, build, and launch sophisticated data models and visualizations supporting multiple use cases.
- Solve challenging data integration problems using optimal ETL patterns, frameworks, and query techniques, sourcing from structured and unstructured data.
- Assist in owning and optimizing existing production processes through advanced algorithmic concepts.
- Optimize pipelines, dashboards, frameworks, and systems to facilitate easier data artifact development.
- Influence product and cross-functional teams to identify data opportunities for impact.
- Mentor team members by providing actionable feedback.
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent.
- 4+ years of experience primarily working with data (e.g., data analyst, data scientist, data engineer).
- 4+ years of experience (or 2+ years with a Ph.D) with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala).
Skills
- SQL
- ETL
- Data Modeling
- Python
- C++
- C#
- Scala
- Responsible AI practices
- AI tool integration
- Prompt/context engineering
- Agent orchestration
Location
- Remote
Work Type
- Full-time
Experience Level
- 4+ years
Education Level
- Bachelor's degree
- Master's degree
- Ph.D degree
About the Company
- Meta is a company that builds people-facing and business-facing products across its family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads).
- Meta has over 3 billion users and hundreds of millions of businesses worldwide.
- Meta has a data engineering community dedicated to skill development and career growth.