Retirement Data Platform Staff Engineer at Gusto

This role is ideal for a senior-level data engineer with at least 7 years of experience who thrives in high-ownership, cross-functional environments. You should be highly proficient in Python and SQL, with a deep background in building scalable data infrastructure within cloud environments like GCP, AWS, or Snowflake. While the title says "Mid-level," the requirements and compensation suggest a more seasoned Staff-level professional capable of translating vague product requirements into technical architecture. The compensation is highly competitive, scaling up to $247k depending on your location, and the role offers a modern "AI-native" environment where you’re encouraged to use AI tools to streamline operations. While remote-friendly across several major hubs, note that there is a hybrid expectation (2-3 days in-office) for those living near Denver, NYC, or San Francisco. **You might be a good fit if you...** * Have extensive experience with streaming systems like Kafka and cloud data warehouses like Snowflake. * Enjoy "rounding out" a small team where you take full ownership from initial scope to production troubleshooting. * Can bridge the gap between technical infrastructure and non-technical stakeholders in Product or Compliance. * Are comfortable participating in an on-call rotation to support platform services.