Data Engineer Jobs at Gusto with Visa Sponsorship
Gusto hires Data Engineers to build and maintain the infrastructure behind its payroll, benefits, and accounting platform. The company has a documented track record of sponsoring work visas for technical roles, making it a realistic target for international candidates pursuing H-1B or E-3 pathways.
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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—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy.
About The Role
We're looking for an experienced engineer with deep expertise in distributed data systems to shape the future of Gusto's storage layer. You'll manage complex migrations, architect high-scale systems, and set standards for automation, resiliency, and security. This is a high-impact role where you'll implement distributed database solutions that enable Gusto's continued growth and scale.
About The Team
The Datastores Infrastructure Engineering team designs, builds, and operates the data platforms that power Gusto's product: MySQL, Postgres, Redis, Kafka, and S3. We ensure our infrastructure is consistent, reliable, and ready to support Gusto's growing needs. As we transition to self-hosted distributed databases, the team is focused on reducing blast radius, improving operational resilience, and enabling sustainable scale.
Here’s What You’ll Do Day-to-day
- Architect, deploy, and own the full lifecycle of distributed database systems (TiDB) on Kubernetes at scale, ensuring high availability, data consistency, and operational excellence
- Coordinate complex, zero-downtime migrations from monolithic to distributed architectures, including vertical sharding to isolate Product Services
- Define and drive efficiency improvements across the storage infrastructure through query optimization, caching strategies, and workload management
- Define standards and build reliable automation to ensure data consistency, integrity, and security across distributed systems
- Continuously improve operational excellence by reducing on-call burden through sustainable, long-term solutions
- Partner with product engineering teams and technical collaborators to enable rapid and reliable product development
- Mentor engineers across the Datastores Infrastructure team on best practices for operating complex, self-hosted distributed systems, actively developing our collective operational expertise
Here’s What We're Looking For
- 12+ years of software engineering experience building and scaling large-scale infrastructure systems
- Hands-on experience building and operating distributed databases on Kubernetes (strongly preferred: TiDB; alternatively: CockroachDB, Vitess, Citus, or similar solutions)
- Deep expertise in distributed data systems including horizontal sharding, partitioning strategies, and distributed transaction management
- Proven experience coordinating complex, zero-downtime migrations affecting production systems at scale
- 5+ years of AWS experience with RDS, Aurora, caching systems (Redis/ValKey), streaming platforms (Kafka), and infrastructure optimization at scale
- Strong communication skills with the ability to simplify technical complexity and collaborate on technical direction across teams
- Curiosity and ability to operate in an AI-native environment, leveraging AI tooling to enhance infrastructure operations, driving improvements in query optimization, performance evaluation, and infrastructure automation
- Bonus: Experience with service extraction and vertical sharding from monolithic architectures
- Bonus: Experience working with Ruby on Rails or similar MVC frameworks at scale
Compensation
Our cash compensation amount for this role is targeted at $200,000-$230,000 /yr in Denver & most remote locations, and $230,000-$270,000 /yr for San Francisco, Seattle & 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—like payroll, health insurance, 401(k)s, and HR—so owners can focus on their craft and customers. With teams in Denver, San Francisco, and New York, we’re proud to support more than 400,000 small businesses across the country, and we’re building a workplace that represents and celebrates the customers we serve. Learn more about our Total Rewards philosophy.
About The Role
We're looking for an experienced engineer with deep expertise in distributed data systems to shape the future of Gusto's storage layer. You'll manage complex migrations, architect high-scale systems, and set standards for automation, resiliency, and security. This is a high-impact role where you'll implement distributed database solutions that enable Gusto's continued growth and scale.
About The Team
The Datastores Infrastructure Engineering team designs, builds, and operates the data platforms that power Gusto's product: MySQL, Postgres, Redis, Kafka, and S3. We ensure our infrastructure is consistent, reliable, and ready to support Gusto's growing needs. As we transition to self-hosted distributed databases, the team is focused on reducing blast radius, improving operational resilience, and enabling sustainable scale.
Here’s What You’ll Do Day-to-day
- Architect, deploy, and own the full lifecycle of distributed database systems (TiDB) on Kubernetes at scale, ensuring high availability, data consistency, and operational excellence
- Coordinate complex, zero-downtime migrations from monolithic to distributed architectures, including vertical sharding to isolate Product Services
- Define and drive efficiency improvements across the storage infrastructure through query optimization, caching strategies, and workload management
- Define standards and build reliable automation to ensure data consistency, integrity, and security across distributed systems
- Continuously improve operational excellence by reducing on-call burden through sustainable, long-term solutions
- Partner with product engineering teams and technical collaborators to enable rapid and reliable product development
- Mentor engineers across the Datastores Infrastructure team on best practices for operating complex, self-hosted distributed systems, actively developing our collective operational expertise
Here’s What We're Looking For
- 12+ years of software engineering experience building and scaling large-scale infrastructure systems
- Hands-on experience building and operating distributed databases on Kubernetes (strongly preferred: TiDB; alternatively: CockroachDB, Vitess, Citus, or similar solutions)
- Deep expertise in distributed data systems including horizontal sharding, partitioning strategies, and distributed transaction management
- Proven experience coordinating complex, zero-downtime migrations affecting production systems at scale
- 5+ years of AWS experience with RDS, Aurora, caching systems (Redis/ValKey), streaming platforms (Kafka), and infrastructure optimization at scale
- Strong communication skills with the ability to simplify technical complexity and collaborate on technical direction across teams
- Curiosity and ability to operate in an AI-native environment, leveraging AI tooling to enhance infrastructure operations, driving improvements in query optimization, performance evaluation, and infrastructure automation
- Bonus: Experience with service extraction and vertical sharding from monolithic architectures
- Bonus: Experience working with Ruby on Rails or similar MVC frameworks at scale
Compensation
Our cash compensation amount for this role is targeted at $200,000-$230,000 /yr in Denver & most remote locations, and $230,000-$270,000 /yr for San Francisco, Seattle & 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.
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Get Access To All JobsTips for Finding Data Engineer Jobs at Gusto Jobs
Frame your experience around financial data pipelines
Gusto's engineering work centers on payroll processing, tax calculations, and benefits data at scale. Highlighting experience with high-integrity financial data systems, audit trails, or compliance-adjacent pipelines directly maps to what their Data Engineering teams are building.
Target roles that reference dbt or Snowflake explicitly
Gusto's Data Engineering job postings frequently surface these tools. Applying to listings that match your specific stack signals genuine fit, which matters when an employer is weighing the overhead of filing an LCA with DOL and pursuing sponsorship.
Use Migrate Mate to filter verified sponsoring openings
Not every Data Engineer listing at Gusto is tied to an active sponsorship track. Migrate Mate filters for roles with a confirmed sponsorship history, so you're applying to positions where the process is already established rather than negotiating it from scratch.
Prepare your credentials for specialty occupation documentation
USCIS requires that H-1B petitions demonstrate a direct relationship between your degree field and the Data Engineer role. A degree in computer science, statistics, or information systems maps cleanly. A tangential degree needs supporting documentation linking your coursework to the position's technical requirements.
Data Engineer at Gusto jobs are hiring across the US. Find yours.
Find Data Engineer at Gusto JobsFrequently Asked Questions
Does Gusto sponsor H-1B visas for Data Engineers?
Yes, Gusto sponsors H-1B visas for Data Engineers. The company files Labor Condition Applications with the DOL as part of the H-1B petition process, which is standard for software and data roles classified as specialty occupations. If you're already in H-1B status with another employer, Gusto can file an H-1B transfer, letting you start work once USCIS receives the petition.
Which visa types does Gusto commonly use for Data Engineer roles?
Gusto sponsors H-1B visas for most international Data Engineer hires and E-3 visas for Australian citizens. For candidates pursuing permanent residency, Gusto has a track record with EB-2 and EB-3 Green Card pathways, which typically involve PERM labor certification filed through the DOL before the immigrant petition proceeds.
What qualifications does Gusto expect for Data Engineer roles?
Gusto's Data Engineer postings consistently look for experience with cloud data warehouses like Snowflake, transformation tools like dbt, and orchestration frameworks like Airflow. A bachelor's degree or higher in computer science, statistics, or a related field is standard. For USCIS specialty occupation purposes, your degree field should have a direct and logical relationship to the role's core responsibilities.
How do I apply for Data Engineer jobs at Gusto?
You can browse open Data Engineer positions at Gusto and filter for roles with active visa sponsorship through Migrate Mate, which surfaces listings tied to a verified sponsorship history. When you apply, tailoring your resume to Gusto's fintech and payroll infrastructure context, specifically mentioning financial data integrity, compliance pipelines, or high-volume transaction processing, will strengthen your application before the recruiter screen.
How do I manage timing between my current visa status and a Gusto offer?
If you're on OPT or STEM OPT, confirm your remaining authorized period relative to Gusto's hiring timeline. H-1B cap-subject petitions have an October 1 start date, but cap-exempt transfers can begin sooner. For E-3 applicants, consular processing in Australia typically takes two to six weeks, so factoring in your notice period and appointment availability matters when you're negotiating a start date.
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