Staff Data Engineer

📋 Description

• Own the internal data platform end to end, including Snowflake architecture, capacity planning
• Lead the ingestion ecosystem using tools such as Fivetran, Sling, dlt, and AWS DMS, as well as
• Own warehouse access controls and data security, particularly as MCP-based workflows increasingly
• Design platform architecture that reduces cross-team dependencies, minimizes homegrown ingestion
• Drive platform reliability through Dagster-based alerting, data quality practices, operational
• Take ownership of deferred data-platform work, including one-off ingestion, data enablement, and

🎯 Requirements

• Staff-level experience in data platform engineering, including the ability to establish
• Deep production experience with dbt and modern cloud data warehouses, with strong understanding of
• Experience working with modern data orchestration platforms; hands-on Dagster experience is highly
• Practical experience with managed data ingestion and reverse ETL tooling.
• Strong understanding of data-platform reliability, security, access controls, data quality
• Ability to translate ambiguous business needs into clearly scoped, prioritized technical

🎁 Benefits

• Base salary of $221,000–$276,000 for the San Francisco Bay Area and NYC Metro.
• Base salary of $200,000–$257,000 for Washington D.C., Boston, Los Angeles Metro, and Seattle.
• Base salary of $191,000–$238,000 for Denver, Chicago, Atlanta, and other U.S. metropolitan areas.
• Actual compensation within the applicable range depends on location, experience, and
• Remote-first work environment with a flexible-first culture.
• Equity stock options.