Data Engineer, Analytics (Technical Leadership)

$206,000 - $281,000/Yr

Meta - Menlo Park, CA

Full-time - Senior

Menlo Park, CA

5,001-10,000 employees

Web Search Portals, Libraries, Archives, and Other Information Services

About the position

The Data Engineer, Analytics (Technical Leadership) role at Meta focuses on building a robust data foundation to support various products and enhance user experience. This position involves collaborating with cross-functional teams to drive data architecture and analytics initiatives, ensuring data quality, security, and governance while optimizing data integration processes. The role is pivotal in influencing product decisions through data insights and mentoring team members.

Responsibilities

• Proactively drive the vision for data foundation and analytics to accelerate building and improvement of cross-platform components across Instagram.
• Conceptualize and own the data architecture for multiple large-scale projects, evaluating design and operational cost-benefit tradeoffs.
• Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve them.
• Build cross-functional relationships with Data Scientists, Product Managers, and Software Engineers to understand data needs and deliver on those needs.
• Define and manage SLA 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.
• Design, build, and launch collections of sophisticated data models and visualizations that support use cases across different products or domains.
• Solve challenging data integration problems, utilizing optimal ETL patterns, frameworks, and query techniques.
• 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, relevant technical field, or equivalent practical experience.
• 10+ years experience in the data warehouse space.
• 10+ years experience in custom ETL design, implementation, and maintenance.
• 10+ years experience with object-oriented programming languages.
• 10+ years experience with schema design and dimensional data modeling.
• 10+ years experience in writing SQL statements.
• Experience analyzing data to identify deliverables, gaps, and inconsistencies.
• Experience managing and communicating data warehouse plans to internal clients.

Nice-to-haves

• BS/BA in Technical Field, Computer Science or Mathematics.
• Experience working with either a MapReduce or an MPP system.
• Knowledge and practical application of Python.
• Experience working autonomously in global teams.
• Experience influencing product decisions with data.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• 401(k) plan
• Paid holidays
• Paid time off
• Employee stock purchase plan
• Tuition reimbursement
• Flexible scheduling
• Wellness programs