Data Engineer

Fastly
San Francisco, CA$133k – $160kPosted 13 March 2026

Job Description

Fastly helps people stay better connected with the things they love. Fastly’s edge cloud platform enables customers to create great digital experiences quickly, securely, and reliably by processing, serving, and securing our customers’ applications as close to their end-users as possible — at the edge of the Internet. The platform is designed to take advantage of the modern internet, to be programmable, and to support agile software development. Fastly’s customers include many of the world’s most prominent companies, including GitHub, Yelp, Paramount, and JetBlue. We're building a more trustworthy Internet. Come join us. Posting Open Date: March 13th, 2026 Anticipated Posting Close Date*: May 30th, 2026 *Job posting may close early due to the volume of applicants. Data Engineer Fastly’s Analytics team empowers leaders across the business with actionable data to drive key decisions. The team is working to expand and mature a best-in-class internal data platform. As a Data Engineer, you will contribute to the evolution of our data infrastructure, optimizing pipelines on Google Cloud Platform (GCP), scaling ingestion of complex data sources, and following best practices for performance and reliability. This is an opportunity to contribute to impactful projects in a dynamic, collaborative, and innovative environment, supporting data scientists, data analysts and business analysts across the organization. What You'll Do: You’ll collaborate and partner with stakeholders, and decision-makers to prioritize, design, and fulfill their data analytics needs You’ll identify KPIs driving business growth and performance and work closely with the business teams to define them You’ll work across the data stack to design and build various data products (pipelines, data models, analysis) that enable the business to make data backed decisions You’ll help garner trust in data from the business by documenting analytics best practices, assisting with data discoverability, governance, and accuracy You’ll promote and drive a self-service data culture by building easy to use analytics products and teaching the technical and non-technical users how to use them You’ll communicate progress, risks, and completion of projects to stakeholders What We're Looking For: You have 3-5 years of hands-on experience in BI or Analytics teams. You have experience with cloud data warehouse technologies (BigQuery is a plus) You are driven by logical and analytical thinking to solve problems. And have an eye for detail-oriented analysis and design You have hands-on experience in building and managing data transformations (dbt experience is a plus) You are able to craft functional and user-friendly data products (data models, pipelines, etc..) for both technical and non-technical stakeholders You have experience with a data visualization tool (ie. Looker, Tableau, Mode) You are a SQL power user, capable of complex, efficient, and logical SQL to accomplish data modeling goals You have functional knowledge of financial, sales, or other core business metrics You are able to manage professional relationships across a variety of stakeholders You are able to identify and prioritize multiple requirements and manage expectations accordingly You are collaborative and willing to traverse and contribute to the entire data stack, from front-end to back-end as needed Work Hours: This position will require you to be available during core business hours. Work Location(s) Travel Requirements: This position is open to the following preferred office locations OR Remote San Francisco, CA USA Denver, CO USA New York, NY USA Culver City, CA USA Fastly currently embraces a largely hybrid model for most roles which allows employees flexibility to split their time between the office and home. This position may require travel as required by your role or requested by your manager. SF / LA Fair Chance Ordinance Statement Pursuant to the San Francisco Fair Chanc ... (truncated, view full listing at source)
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