Gusto

Senior Data Engineer

Gusto$190K — $220K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8-10+ years of data engineering experience building scalable pipelines and products
  • Strong proficiency in SQL and a programming language (e.g., Python, Scala, Java)
  • Experience with dbt for data transformation and ETL processes
  • Hands-on knowledge of data ingestion from APIs, databases, and event streams
  • Foundation in data modeling, schema design, and working with cloud platforms like Snowflake or BigQuery
  • Experience with CI/CD pipelines and data observability
  • Understanding of AI and automation in data engineering

Responsibilities

  • Drive end-to-end delivery of data solutions from problem framing to execution
  • Collaborate with analytics, product, and engineering teams to address data needs
  • Build and maintain robust data pipelines and ETL workflows
  • Monitor and troubleshoot production data pipelines for reliability
  • Optimize performance and manage costs across data workflows
  • Implement automated testing and CI/CD practices
  • Develop self-service tools and intelligent data pipelines using AI

Benefits

  • Flexible work-from-home options with hybrid office expectations
  • Access to physical office spaces in Denver, San Francisco, and New York City
  • Opportunities for professional growth in a supportive team environment
  • Focus on data-driven decision making with high-impact projects
  • Collaborative culture promoting shared ownership and clarity in communication
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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