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Senior Data Engineer

Gusto
Hybrid - Denver, CO; New York, NY; San Francisco, CA, 2-3 days/weekUpdated 2d ago
Base salary
$155k–$220k
Published base salary range
Location
Hybrid - Denver, CO; New York, NY; San Francisco, CA, 2-3 days/week
Remote eligibility
Employment
Full-time
Senior
Role family
Data
Fintech
Role skills
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About the job

About Gusto

Gusto is on a mission to grow the small business economy, handling payroll, health insurance, 401(k)s, and HR for over 500,000 small businesses nationwide. With teams in Denver, San Francisco, and New York, Gusto is building a workplace that reflects the people it serves. All full-time employees receive competitive base pay, benefits, and equity (RSUs). AI is a fundamental part of how work gets done at Gusto, and all team members are expected to engage with AI tools relevant to their role.

Role

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. As a Senior Data Engineer, you will take loosely defined problems and drive them end-to-end—from framing the problem and aligning stakeholders to designing, building, and delivering durable data solutions. You will partner closely with analytics, product, and engineering teams to deliver data solutions that drive real business and customer impact.

Preferred Qualifications

  • 8-10+ years of industry experience in data engineering building scalable data pipelines and data products
  • Strong proficiency in SQL and at least one programming language (e.g., Python, Scala, or Java)
  • Proven experience building and maintaining robust data pipelines and ETL workflows, with hands-on dbt experience
  • Hands-on experience ingesting data from diverse sources, including APIs, databases, SaaS applications, and event streams
  • Strong foundation in data modeling, schema design, and data quality best practices, with functional experience on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks
  • Experience implementing CI/CD pipelines, automated testing, and data observability
  • Familiarity with monitoring, alerting, and incident response for production-grade data pipelines
  • Proven ability to optimize performance and cost across data workflows and storage systems
  • Functional understanding of how to leverage AI and automation in data engineering
  • Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams
  • Strong communication and collaboration skills

Compensation

Cash compensation for this role is targeted at $155,000-$185,000/yr in Denver, $170,000-$200,000/yr in Los Angeles, and $190,000-$220,000/yr for San Francisco, Seattle, and New York. Final offer amounts are determined by multiple factors including candidate experience and expertise.

Work Location

Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees based in those locations will be expected to work from the office on designated days approximately 2-3 days per week (or more depending on role). The San Francisco office expectations encompass both the San Francisco and San Jose metro areas. When approved to work from a location other than a Gusto office, a secure, reliable, and consistent internet connection is required.

Equal Opportunity

Gusto is proud to be an equal opportunity employer and considers qualified applicants with criminal histories, consistent with applicable law. Reasonable accommodations are available for qualified individuals with disabilities.

Skills & tags

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