Data Engineer, SuiteSpot

• Snowflake: You've built and operated Snowflake workloads in production, including sharing, warehouses, streams and tasks, and resource monitors
• SQL: Strong fundamentals, comfortable with CTEs, window functions, and complex aggregations. You know when SQL is the right tool and when it isn't
• Data pipelines: You understand how operational data gets into a warehouse (CDC, backfills, schema evolution) well enough to participate in design conversations and propose changes at an architectural level
• Power BI: Hands-on experience building reports and semantic models that real users depend on. You know your way around workspaces, deployment pipelines, and DAX

Desirable

• We're hiring a Data Engineer to build and maintain the data products our enterprise customers consume.
• Our customers run large multifamily portfolios and want SuiteSpot's operational data flowing into their own data lakes and warehouses, usually Snowflake.
• You'll build and maintain the customer-facing data model in Snowflake, set up data sharing into their environments, and develop the Power BI semantic models, reports, and dashboards embedded in our product
• Most of the work is in Snowflake and Power BI, with the occasional customer call to walk through schema questions or gather requirements
• You'll report into engineering and work closely with Customer Success, Delivery, and the product team
• Snowflake Platform: Implement and maintain the customer-facing data model in Snowflake. Build the entities our customers consume, keep them versioned and documented, and roll out changes without breaking downstream consumers
• Data Sharing and Exports: Design and operate data sharing from SuiteSpot into customer Snowflake environments, with external exports when needed
• Power BI Development: Build Power BI semantic models, reports, and dashboards embedded in our product

• Initial conversation with a Talent Advisor
• Technical assessment focused on data modeling and pipeline design
• Technical interview with the engineering team
• Conversation with the CTO