Jobs

Retirement Data Platform Staff Engineer
Denver, CO;San Francisco, CA;New York, NY;Los Angeles, CA;Seattle, WA;Toronto, Ontario, CAN - Remote
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Remote
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Full-time
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1w ago
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 are looking for a Staff Engineer to build, and maintain the data infrastructure at Gusto Retirement. This is a cross-functional role, and as a part of the Retirement Data Platform team, you will partner with engineering teams and work closely with Product, Data Science and Analysts, Compliance and Operations teams to help them achieve their goals. We are looking for a person who is able to understand stakeholders problems and translate complexities of non-technical stakeholders into practical data solutions.
If you like being hands-on, making pragmatic technical decisions that serve the needs of end users, you’ll be a great fit.
About the Team:
We’re a small team building data infrastructure to empower data-driven decision-making, passionate about working with data to help people save for retirement.
Here’s what you’ll do day-to-day:
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Build and refine our infrastructure and tools that enable other teams to work with data
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Take full ownership of the solutions you build, partner with other teams, work with stakeholders to refine ideas, shape scope, implement solutions, monitor production, and troubleshoot problems that arise
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Collaborate with other engineering teams to integrate with existing systems and unblock dependencies
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Participate in an on call rotation to support the deployment of supported platform services and the management of the underlying infrastructure
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Identify, adopt and improve frameworks, policies and tools to streamline the development process
Here’s what we're looking for:
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At least 7 years of experience in a similar role
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Hands-on experience building data infrastructure at scale
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Strong programming skills in Python and proficiency in SQL for data extraction and manipulation
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Experience building solutions in the cloud (GCP/AWS/Snowflake)
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Experience with streaming systems (Kafka or similar)
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Ability to turn vague requirements into clear deliverables with minimal guidance
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Curiosity and ability to operate in an AI-native environment, leveraging AI tooling to enhance infrastructure operations
Our cash compensation amount for this role is targeted at $163,000-$204,000/year in Denver, $178,000-$223,000/year in Los Angeles, and $197,000-$247,000/year for San Francisco, New York, and Seattle. 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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About Gusto

Gusto
Series EGusto, Inc. is a company that develops payroll, benefits, and human resource management software for businesses based in the United States.
1,001-5,000
Employees
the United States
Headquarters
$3.8B
Valuation
Reviews
3.8
20 reviews
Work Life Balance
3.2
Compensation
3.8
Culture
2.8
Career
2.5
Management
2.3
45%
Recommend to a Friend
Pros
Competitive compensation and high TC potential
Payroll and time tracking functionality
Series E funding and company growth
Cons
Complex and lengthy interview process (8+ rounds)
Layoffs and hire/fire cycles
Toxic and disorganized management
Salary Ranges
24 data points
Junior/L3
Mid/L4
Staff/L6
Director
Junior/L3 · Analytics Engineer
2 reports
$202,080
total / year
Base
$155,446
Stock
-
Bonus
-
$189,800
$214,360
Interview Experience
11 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Offer Rate
9%
Experience
Positive 9%
Neutral 82%
Negative 9%
Interview Process
1
Application Review
2
Phone Screen
3
Technical Assessment/Interview
4
Onsite/Final Round
5
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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