Staff Data Engineer

Required Qualifications

• Have 8+ years of experience in data or analytics engineering, with a track record of owning complex, business-critical data systems end to end.
• Have deep experience with the modern data stack (e.g. Snowflake, dbt, Dagster, Databricks), terraform, and cloud infrastructure, and can use those systems to improve performance, reliability, security, and developer experience at scale.
• Have a track record of leading platform migrations, deprecations, or upgrades across shared systems, balancing technical risk, operational continuity, and long-term maintainability.
• Can design secure, reusable patterns for data ingestion, access control, and platform automation, and are comfortable partnering with Infrastructure, Security, and Governance stakeholders to implement them.
• Experience with DevOps practices (e.g., CI/CD for data), data governance, or FinOps (cost-conscious design).
• Can break down ambiguous, cross-functional data problems and lead the implementation from design to deployment, collaborating across technical and non-technical teams.
• Proactively identify opportunities to improve the analytics platform and are comfortable designing and implementing impactful, reusable solutions.
• Communicate clearly across audiences, from engineers and analysts to product managers and business leaders.
• Understand how to balance business value, maintainability, and platform standards in your design decisions.
• Are excited about the opportunity to mentor others, set standards, and leave systems better than you found them.
• Experience supporting machine learning workflows, such as building features or monitoring model inputs and outputs.
• Experience working in a fast-growing startup environment or on platform-style teams that serve internal customers.