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FinTech, HR Tech, SaaS

Senior Software Engineer, Data Platform

Denver, Colorado, United StatesHybridFull TimeSenior$163,000–$204,000 /yrPosted 2 months agoVisa sponsorship available

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Role summary

Gusto is seeking a Senior Software Engineer to join their Data Platform team. This role focuses on architecting, building, and maintaining the company's data infrastructure. The engineer will collaborate with Data Science, Business Intelligence, and analysts to enable their data-related goals. Responsibilities include handling large volumes of data, processing in batch and real-time, and taking full ownership of solutions from requirements to production monitoring. The ideal candidate has at least 7 years of software engineering experience, with a strong background in cloud solutions (AWS preferred), OLAP databases, and building scalable data pipelines using Python and Airflow. Experience with streaming systems is desired.

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.

About the Role:

We are looking for a Senior Software Engineer to architect, build, and maintain the data infrastructure at Gusto. As part of the Data Platform team, you will collaborate closely with Data Science, Business Intelligence, and analysts across Gusto teams to help them achieve their goals.

The Data Platform position is a software development role with knowledge of data architectures and data delivery. The ideal candidate is passionate about developing software, working with data, and

Here’s what you’ll do day-to-day:

  • Architect, build, and refine our infrastructure and tools that enable other teams to work with data.
  • Efficiently handle vast amounts of clickstream, database, and third party application data, processing in batch and real-time
  • Take full ownership of the solutions you build, working with stakeholders to develop requirements, implement solutions, monitor production, and troubleshoot problems that arise.
  • Work as part of a team. We value team players who share their knowledge and like collaborating with others.

    • Here’s what we're looking for:

  • At least 7 years of software engineering experience.
  • Experience building solutions in the cloud, AWS preferred (Redshift, MSK, EMR).
  • Experience with OLAP databases (Clickhouse)
  • Experience building data pipelines at scale, Airflow and Python preferred.
  • Experience with streaming systems desired (Kafka, Kinesis, or similar).
  • Ability to turn vague requirements into clear deliverables with minimal guidance.
  • Experience building and maintaining a modern data stack in production.

    • 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.

    Sample Gusto, Inc. interview questions

    • 1

      Design a system for real-time audio/video streaming.

      system designmedium
    • 2

      Design a system for real-time processing of natural language queries.

      system designmedium
    • 3

      Architect a system for monitoring real-time network traffic for security threats.

      system designmedium
    • 4

      Serialize and Deserialize N-ary Tree Serialize and deserialize an N-ary tree. Input: root = [1] Output: 1 Explanation: The tree only contains a root node, resulting in a minimal serialized string representation that can be accurately rebuilt.

      codingmedium
    • 5

      Aggressive Cows Maximize the minimum distance between aggressive cows in stalls. Input: stalls = [0,4,3,7,10,9], cows = 3 Output: 4 Explanation: Placing the cows at positions 0, 4, and 10 yields a maximum possible minimum distance of 4 between any two cows.

      codingmedium

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