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Senior Data Engineer (Analytics) - Hybrid/Onsite (San Francisco, CA)

Data Engineering ETL/ELT Pipelines SQL

About the Role

Fastly is building a more trustworthy Internet, and our Analytics team helps leaders across the business make smarter decisions with data-driven insights. As a Senior Data Engineer, you’ll design and deliver reliable data pipelines that enable teams to analyze performance, improve products, and understand customers.

Responsibilities

  • Build and maintain scalable data ingestion, processing, and delivery systems
  • Partner with analytics and engineering teams to define data models and analytics-ready datasets
  • Optimize data workflows for performance, reliability, and cost
  • Implement data quality checks, monitoring, and alerting to ensure trustworthy reporting
  • Drive best practices for data governance, documentation, and maintainability

Requirements

  • Strong experience building production data pipelines and ETL/ELT workflows
  • Proficiency with modern data engineering tools and distributed processing frameworks
  • Hands-on experience with SQL and data modeling for analytics use cases
  • Comfort working with cloud-based infrastructure and scalable architectures
  • Ability to collaborate across teams and communicate technical tradeoffs clearly

Benefits

  • Opportunity to work on data systems that support high-impact business decisions
  • Collaborative team environment focused on reliability and engineering excellence
  • Work on cutting-edge edge/cloud infrastructure that powers trusted digital experiences
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Posted on July 17, 2026
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