Data Science Engineer Jobs at Gusto with Visa Sponsorship
Data Science Engineer jobs at Gusto sit at the intersection of financial data systems and product analytics, as the company builds payroll, HR, and benefits infrastructure for small businesses. Gusto has a documented history of sponsoring work visas for this function across multiple visa categories.
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Get Access To All JobsAbout Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.
All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.
AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.
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.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.
Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.
About Gusto
At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff — payroll, health insurance, 401(k)s, and HR — so owners can focus on their craft and their customers. With teams in Denver, San Francisco, and New York, we support more than 500,000 small businesses nationwide and are building a workplace that reflects the people we serve.
All full-time employees receive competitive base pay, benefits, and equity (RSUs) — because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.
AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.
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.
Our customers come from all walks of life and so do we. We hire great people from a wide variety of backgrounds, not just because it's the right thing to do, but because it makes our company stronger. If you share our values and our enthusiasm for small businesses, you will find a home at Gusto.
Gusto is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Gusto considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Gusto is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. We want to see our candidates perform to the best of their ability. If you require a medical or religious accommodation at any time throughout your candidate journey, please fill out this form and a member of our team will get in touch with you.
Gusto takes security and protection of your personal information very seriously. Please review our Fraudulent Activity Disclaimer.
Personal information collected and processed as part of your Gusto application will be subject to Gusto's Applicant Privacy Notice.
See all Data Science Engineer Jobs at Gusto
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Data Science Engineer Jobs at Gusto.
Get Access To All JobsTips for Finding Data Science Engineer Jobs at Gusto
Frame your portfolio around financial data products
Gusto evaluates Data Science Engineers on their ability to work with payroll and tax data at scale. Projects involving transactional datasets, anomaly detection, or predictive models in regulated industries will resonate more than general ML work.
Clarify your visa category before applying
Gusto sponsors multiple visa types for this role. Know whether your situation calls for H-1B, E-3, or an immigrant pathway before your first recruiter call so you can confirm fit immediately and avoid delays late in the process.
Align your specialty occupation evidence to data engineering
USCIS scrutinizes H-1B specialty occupation claims for hybrid roles. Gather documentation showing your work requires at minimum a bachelor's degree in computer science, statistics, or a directly related quantitative field, not a general business degree.
Surface your background in accounting or fintech data systems
Gusto's core product touches payroll compliance, tax filing, and benefits administration. Highlighting experience with financial data pipelines, audit-ready reporting systems, or regulated data environments positions you as a stronger fit for their Data Science Engineering team.
Confirm PERM labor market requirements early for immigrant pathways
If you're targeting a Green Card through EB-2 or EB-3, your employer must complete DOL's PERM process before filing. Starting that conversation during offer negotiation, not after onboarding, prevents months of unnecessary delay.
Use Migrate Mate to identify active Data Science Engineer openings at Gusto
Gusto's sponsorship-eligible roles aren't always easy to isolate on general job boards. Search Migrate Mate to filter specifically for Data Science Engineer positions at Gusto that include visa sponsorship, so you're applying to roles where sponsorship is already confirmed.
Frequently Asked Questions
Does Gusto sponsor H-1B visas for Data Science Engineers?
Yes, Gusto sponsors H-1B visas for Data Science Engineer roles. The role typically qualifies as a specialty occupation under USCIS guidelines because it requires a bachelor's degree or higher in a specific technical field such as computer science, statistics, or data engineering. You'll need to clear the H-1B cap lottery unless you qualify for a cap-exempt filing, so timing your application cycle matters.
How do I apply for Data Science Engineer jobs at Gusto?
Start by searching Gusto's careers page directly or using Migrate Mate to filter Data Science Engineer openings that include visa sponsorship. Tailor your application to highlight experience with large-scale data pipelines, machine learning systems, or analytics infrastructure relevant to payroll and HR products. Gusto's hiring process typically includes a technical screen, a take-home or live coding assessment, and multiple rounds focused on systems design and analytical reasoning.
Which visa types does Gusto commonly use for Data Science Engineer roles?
Gusto sponsors H-1B and E-3 visas for nonimmigrant work authorization in this function. Australian nationals can pursue the E-3, which has a separate annual allocation and no lottery, making it a faster path. For permanent residence, Gusto has supported EB-2 and EB-3 immigrant visa categories, which involve a DOL PERM labor certification before the immigrant petition is filed with USCIS.
What qualifications does Gusto expect for a Data Science Engineer role?
Gusto's Data Science Engineer roles generally require a bachelor's or master's degree in computer science, statistics, mathematics, or a closely related quantitative discipline. Beyond the degree, you'll be expected to demonstrate proficiency in Python or a similar language, experience building and maintaining data pipelines, and the ability to apply machine learning techniques to product or operational problems. Familiarity with financial or compliance data environments strengthens your candidacy given Gusto's core product focus.
How do I manage my visa timeline when pursuing a role at Gusto?
If you're targeting H-1B sponsorship, USCIS opens the registration window in March for an October 1 start date. Receiving an offer by February gives Gusto's immigration team enough runway to prepare the petition. For E-3 applicants, processing through a U.S. consulate in Australia typically takes two to six weeks, offering more scheduling flexibility. If you're transferring from another H-1B employer, Gusto can file a cap-exempt transfer and you can start work once USCIS receives the petition.