The Role
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.

What You'll Do

• 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.

What You Bring

• 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.

Nice to Have

• MongoDB or document-to-relational ETL experience
• Programming beyond SQL. We work in TypeScript and Node.js, but Python or similar is fine.
• Domain background in multifamily, real estate, or property management data
• Some experience using Claude, Copilot, or similar AI tools in your workflow

Why this Role

Real impact. Enterprise customers depend on the data you ship. Improvements you make in Snowflake or Power BI show up in their day-to-day work immediately.

Technical breadth. You'll work across Snowflake, Power BI, and the data contracts in between, with visibility into how our operational stack feeds the warehouse.

Autonomy. We're a small team that moves fast. You'll own your area and help drive decisions on how our data processes evolve.

Growth path. This role leads naturally into deeper data platform work, analytics architecture, or technical leadership on the data side as we scale.

We offer competitive compensation, comprehensive benefits starting day one, and flexible remote work.

Hiring Process

• 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

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