Senior Data Engineer
Join Gusto as a Senior Data Engineer to build scalable data solutions that drive business impact for small businesses.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 7 hours ago
Skills & Technologies
AI in the day-to-day
AI is a fundamental part of how work gets done at Gusto, with expectations for team members to engage with relevant AI tools.
Requirements
- Experience
- 8–10 years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Data Engineer at Gusto, the individual will tackle complex data challenges by designing and implementing scalable data solutions that enhance decision-making across the organization. Proficiency in SQL, programming languages like Python or Java, and experience with data pipeline construction and ETL workflows are essential for success. This position is ideal for seasoned professionals with a strong background in data engineering and a collaborative mindset. Gusto's emphasis on AI integration and cross-functional teamwork highlights its innovative approach to data management.
Joblaze insights
- Listed about a month ago — first seen on Joblaze August 15, 2026. Last confirmed on Gusto's careers page October 8, 2026.
- Salary band is below the typical range for Data Engineering roles (median ~$180,656).
- Starts above 13% of 140 comparable senior data engineering roles in United States that list Python we track (median $180,656 across 40 companies). See Python salary trends
- Python appears in 80.4% of 219 comparable senior data engineering roles in United States; Databricks appears in 6.4% of 219 comparable senior data engineering roles in United States.
Quick facts
- Is the Senior Data Engineer role remote?
- It's hybrid — Gusto expects some on-site time in Denver, CO - Hybrid; New York, NY - Hybrid; San Francisco, CA - Hybrid.
- What's the salary range?
- Gusto lists $155,000–$220,000 for this role.
- How much experience is required?
- 8–10 years of relevant experience for this Senior Data Engineer role.
- Where is the role based?
- Gusto is hiring for this position in Denver, CO - Hybrid; New York, NY - Hybrid; San Francisco, CA - Hybrid.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: BigQuery, Databricks, Java, Python, Redshift, SQL.
- What seniority level is this role?
- Gusto targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Data Engineer role at Gusto.
From the original posting
About Gusto
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.
Standard company text repeated across Gusto's postings is omitted here.