Gusto

Senior Data Engineer

Gusto$155K — $185K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8-10+ years of industry experience in data engineering and scalable data solutions.
  • Strong proficiency in SQL and experience with Python, Scala, or Java.
  • Extensive experience with building and maintaining data pipelines and ETL workflows, particularly using dbt.
  • Hands-on knowledge of data ingestion from various sources including APIs and event streams.
  • Solid understanding of data modeling, schema design, and data quality best practices on cloud platforms like Snowflake or BigQuery.
  • Experience with CI/CD pipelines and automated testing for data reliability.
  • Ability to optimize performance and cost of data workflows.

Responsibilities

  • Interpret loosely defined problems and drive end-to-end data solutions.
  • Collaborate with analytics, product, and engineering teams to align on objectives.
  • Design and construct robust data architectures to support business needs.
  • Develop reliable, testable, and maintainable data transformations using dbt.
  • Leverage diverse data sources for reporting and analytics.
  • Implement monitoring and alerting for production-grade data pipelines.
  • Innovate with AI and automation to enhance data workflows.

Benefits

  • Flexible hybrid work model with Gusto's physical offices in major cities.
  • Collaborative team environment with a focus on problem-solving and communication.
  • Opportunities for continuous learning and involvement in cross-functional projects.
Full Job Description
The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized experiences to our customers. We're looking for a Senior Data Engineer who can 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'll 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 for reliable, testable, and maintainable data transformations. • 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 working on cloud platforms like Snowflake, Redshift, BigQuery, or Databricks. • Experience implementing CI/CD pipelines, automated testing, and data observability to ensure reliability and trust in data systems • 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 - building self-service tools, intelligent pipelines, and agents that automate repetitive tasks • Exemplar problem-solving skills and ability to work collaboratively in cross-functional teams. • Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership Compensation Details Our cash compensation amount 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 and may vary from the amounts listed above. Gusto has physical office spaces in Denver, San Francisco, and New York City. Employees who are 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 same office expectations apply to all Symmetry roles, Gusto's subsidiary, whose physical office is in Scottsdale. Note: 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. This includes non-office days for hybrid employees.

About Gusto

Gusto is a cloud-based human resources software platform that provides payroll, benefits, and HR management services to small businesses. The company was founded in 2011 and is headquartered in San Francisco, California. Gusto's platform automates many of the administrative tasks associated with HR, such as payroll processing, tax filings, and benefits administration. The company also offers a range of HR services, including compliance support, employee onboarding, and time tracking. Gusto is committed to helping small businesses succeed by providing them with the tools and resources they need to manage their HR operations more efficiently.
Learn more about Gusto
Size
1,000 employees
Industry
Founded
2012

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