Hybrid opportunity at
GustoSenior Data Engineer
Gusto operates a platform serving over five hundred thousand small businesses nationwide by providing payroll, human resources, health insurance, and 401(k) administration. Artificial intelligence serves as…
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About This Role
Gusto operates a platform serving over five hundred thousand small businesses nationwide by providing payroll, human resources, health insurance, and 401(k) administration. Artificial intelligence serves as an essential component of operations at the company, and team members are expected to engage with relevant AI utilities. The organization seeks a Senior Data Engineer for a hybrid position based in San Francisco. Within this capacity, the professional will join the Data Engineering…
Job Description
Gusto operates a platform serving over five hundred thousand small businesses nationwide by providing payroll, human resources, health insurance, and 401(k) administration. Artificial intelligence serves as an essential component of operations at the company, and team members are expected to engage with relevant AI utilities.
The organization seeks a Senior Data Engineer for a hybrid position based in San Francisco. Within this capacity, the professional will join the Data Engineering unit, which constructs systems and tools to render enterprise data accessible, consistent, and useful. The position involves taking vague problems and overseeing them from initial scoping and stakeholder alignment through to the deployment of durable data architectures.
This role suits an experienced engineer who excels at cross-functional collaboration and partners smoothly with product, engineering, and analytics departments. Candidates should anticipate working from the San Francisco office approximately two to three days every week, with the remainder completed remotely provided they maintain a dependable internet connection.
Responsibilities
- Manage loosely defined issues from problem framing and stakeholder alignment to design and delivery
- Partner closely with product, analytics, and engineering groups to build data solutions
- Leverage artificial intelligence and automation to construct self-service utilities and intelligent pipelines
Requirements
- Proficiency in SQL and at least one programming language such as Python, Scala, or Java
- Experience building and maintaining robust ETL workflows and data pipelines
- Hands-on background with dbt for testable and reliable data transformations
- Experience ingesting data from diverse sources including APIs, databases, event streams, and SaaS applications
- Background in data modeling, schema design, and cloud platforms like Snowflake, Redshift, BigQuery, or Databricks
- Experience implementing automated testing, CI/CD pipelines, and data observability
- Familiarity with production-grade monitoring, incident response, and alerting for data pipelines
- Ability to optimize storage systems and data workflows for performance and cost
Qualifications
- Eight to ten or more years of professional industry experience in data engineering creating scalable data products and pipelines
Core Skills
Benefits
- Competitive base pay
- Employee benefits
- Equity in the form of Restricted Stock Units
Frequently Asked Questions
What is the employment type and work arrangement for this role?
This is a full-time position with a hybrid remote schedule. Employees based in San Francisco are expected to work from the office approximately two to three days each week, requiring a secure and reliable internet connection for all non-office days.
What salary is offered for the San Francisco location?
The target cash compensation for San Francisco is between $190,000 and $220,000 per year, though final offers are determined by candidate expertise and experience.
What level of experience is preferred for applicants?
The posting prefers candidates with eight to ten or more years of industry experience in data engineering, specifically building scalable data pipelines and data products.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.
