Senior Software Engineer, Data Platform

Job Description

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 De

Required Skills