Gusto-posted 1 day ago
$163,000 - $247,000/Yr
Full-time • Mid Level
Hybrid • Los Angeles, NY
1,001-5,000 employees

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 . 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 understanding the needs of end users.

  • 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.
  • 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 building and maintaining a modern data stack in production.
  • Experience with streaming systems desired (Kafka, Kinesis, or similar).
  • Ability to turn vague requirements into clear deliverables with minimal guidance.
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