Staff Data Engineer

At Fastly, we’re an edge computing platform securing the best of the internet with speed, security, and reliability. Our Analytics team empowers Fastlyans with actionable data to drive key decisions and is focused on building a best-in-class data platform. As a Staff Data Engineer, you will lead the evolution of our data infrastructure, optimizing pipelines on Google Cloud Platform (GCP), scaling ingestion of complex data sources, and establishing best practices for performance and reliability. This is an opportunity to lead impactful projects in a dynamic, collaborative, and innovative environment, supporting data analysts and business analysts across the organization.

What You'll Do:

• Architect and drive the evolution of our data platform, ensuring scalability, performance, and reliability
• Provide technical leadership and strategic direction for data engineering initiatives
• Mentor other engineers, fostering technical excellence and professional growth
• Establish and enforce best practices for data architecture, pipeline development, and deployment processes
• Collaborate closely with data analysts and business analysts to understand data requirements and deliver impactful solutions
• Manage infrastructure-as-code deployments using Terraform and containerized applications with Kubernetes
• Continuously evaluate and implement tools and practices to enhance team productivity and data quality

What We're Looking For:

• 8+ years of experience in data engineering with a proven track record of delivering scalable data solutions
• Advanced proficiency in Python, SQL, Airflow, and Google Cloud Platform services (BigQuery, Cloud Storage, Pub/Sub, etc.)
• Experience with infrastructure as code tools like Terraform and container orchestration with Kubernetes
• Strong understanding of data warehousing concepts and experience optimizing queries and performance in platforms like BigQuery
• Excellent communication and interpersonal skills to work effectively in a distributed team environment
• Demonstrated experience in technical leadership, influencing engineering best practices, and mentoring team members

We’ll be super impressed if you have experience in any of these:

• Experience working closely with data analysts and business analysts to translate business requirements into scalable data solutions
• Familiarity with distributed systems and big data tools (e.g., Clickhouse, Kafka)

Work Hours:

• This position will require you to be available during core business hours and participate in an on-call rotation.

Work Location(s) & Travel Requirements:

This position is open to the following preferred office locations:

• San Francisco

Fastly currently embraces a largely hybrid model for most roles which allows employees flexibility to split their time between the office and home.

Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Salary:

The estimated salary range for this position is $181,220.00 - $217,464.00

Starting salary may vary based on permissible, non-discriminatory factors such as experience, skills, qualifications, and location.

This role may be eligible to participate in Fastly’s equity and discretionary bonus programs.

Benefits:

We care about you. Fastly works hard to create a positive environment for our employees, and we think your life outside of work is important too. We support our teams with great benefits that start on the first day of your employment with Fastly. Curious about our offerings?

We offer a comprehensive benefits package including medical, dental, and vision insurance. Family planning, mental health support along with Employee Assistance Program, Insurance (Life, Disability, and Accident), a Flexible Vacation policy and up to 18 days of accrued paid sick leave are there to help support our employees. We also offer 401(k) (including company match) and an Employee Stock Purchase Program. For 2025, we offer 11 paid local holidays, 11 paid company wellness days.