Data Engineer

About the role

Data Engineers at Fastly play a crucial role in empowering leaders across the business with actionable data to drive key decisions. They contribute to the evolution of our data infrastructure, optimize pipelines on Google Cloud Platform (GCP), scale ingestion of complex data sources, and follow best practices for performance and reliability.

Responsibilities

• Collaborate and partner with stakeholders, and decision-makers to prioritize, design, and fulfill their data analytics needs
• Identify KPIs driving business growth and performance and work closely with the business teams to define them
• 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
• Help garner trust in data from the business by documenting analytics best practices, assisting with data discoverability, governance, and accuracy
• 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
• Communicate progress, risks, and completion of projects to stakeholders

Requirements

• 3-5 years of hands-on experience in BI or Analytics teams
• Experience with cloud data warehouse technologies (BigQuery is a plus)
• Driven by logical and analytical thinking to solve problems and have an eye for detail-oriented analysis and design
• Hands-on experience in building and managing data transformations (dbt experience is a plus)
• Ability to craft functional and user-friendly data products (data models, pipelines, etc.) for both technical and non-technical stakeholders
• Functional knowledge of financial, sales, or other core business metrics
• Able to manage professional relationships across a variety of stakeholders
• Able to identify and prioritize multiple requirements and manage expectations accordingly
• Collaborative and willing to traverse and contribute to the entire data stack, from front-end to back-end as needed

Qualifications

• SQL power user, capable of complex, efficient, and logical SQL to accomplish data modeling goals
• Experience with a data visualization tool (e.g. Looker, Tableau, Mode)

Skills

• Strong understanding of data warehousing concepts, ETL processes, and data modeling techniques
• Experience with cloud platforms like AWS, Azure, or GCP
• Proficiency in Python, R, or other programming languages commonly used in data science and engineering
• Knowledge of data security and compliance standards

Benefits

• Medical, dental, and vision insurance
• Family planning, mental health support, and Employee Assistance Program
• Flexible vacation policy and up to 18 days of accrued paid sick leave
• 401(k) (including company match)
• Employee Stock Purchase Program
• 11 paid local holidays
• 11 paid company wellness days

Pay

The estimated salary range for this position is $133,200.00 to $159,840.00. Starting salary may vary based on permissible, non-discriminatory factors such as experience, skills, qualifications, and location.

Schedule

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