Senior / Staff Data Engineer

Join our team as a Senior/Staff Data Engineer and play a crucial role in integrating and optimizing our data infrastructure across multiple clouds. You'll have the opportunity to assess our current state, set a strategy for a scalable data platform, and turn data into a strategic asset for our business. This is a remote-friendly position with a focus on flexibility and work-life balance.

• Assess and set the strategy for data infrastructure, mapping data needs across various departments and laying out a plan for a scalable data platform.
• Integrate data from two companies, bringing production data into the existing data lake and owning the architecture for the integration.
• Build clean, tested, well-documented data models that the analytics team can build on, ensuring the data is trustworthy and accessible.

• Typically 6+ years in data engineering, including ownership of platform-level design decisions
• A habit of making your work understandable. You document models, decisions, and strategy so that people outside engineering can use and trust the data
• Sound architectural judgment: you weigh tradeoffs in ingestion, orchestration, and modeling, and can explain clearly why you'd choose one path over another
• Comfort with ambiguity. You've walked into situations without a playbook, figured out what mattered most, and made progress without waiting for perfect information. When you're blocked, you find a way around it
• Working familiarity with the Azure data ecosystem (SQL Server, Data Factory, Synapse, or similar). You don't need to be an Azure specialist, but you shouldn't be starting from zero
• Experience partnering across functions and translating business questions into data requirements, and back again
• Strong Python and SQL
• Experience at a SaaS or software company
• Deep, hands-on production experience with Snowflake and dbt
• Building data that powers customer-facing products, including ML or AI features
• Establishing data governance, SOC 2 controls, or data residency practices
• Fivetran and modern orchestration tools (Airflow, Dagster, or similar)
• Integrating data across clouds or after an acquisition or merger

USD 170,000 - 190,000