Staff Engineer, Data

Greenlight Rent, formerly Rhino + Jetty, is making housing more affordable and accessible for millions of renters each year. We're the market-leading rental housing platform building simpler, more accessible ways for people to move into homes - and for property managers to lease with confidence.

Our technology removes friction from the move-in process, lowers upfront costs for renters, and helps property managers make faster, more accurate decisions. We support a network of 3 million rental units nationwide and work with 47 of the NMHC Top 100 property owners, including Greystar, Brookfield, Asset Living, UDR, and more.

We pioneered security deposit insurance and continue to push the industry forward with a growing suite of products - from deposit management to lease guarantees and loss-of-employment protection. We're growing quickly, tackling real problems at scale, and building technology that's changing how renting works.

As a Staff Engineer on our data team, you'll be a senior software engineer who builds the systems that produce, move and serve our data, not just the pipelines and queries on top of them. You'll set technical direction for how data flows through Greenlight Rent, from the application services and APIs that generate it to the warehouse, models and tools the business runs on.

You'll partner with product, finance and operations to turn rental-housing problems into reliable software and trustworthy data.

Our teams are small, about three engineers each, and AI tools let every one of them cover a lot of ground. Staff Engineers here stay hands-on: most of the week goes to building, and the rest to leading the team and growing the people on it.

• Design and build the data foundations of Greenlight Rent: event and data models, ingestion from our application databases and partner integrations (property management systems, payment providers), and the warehouse and transformation layer
• Write production application code too: the services, APIs and jobs that generate and use data, not only what happens downstream of them
• Own measurable outcomes with your product and business partners, and make the scope and sequencing calls that get you there
• Own the reliability and correctness of the data the business depends on, including monthly close, reporting and partner data
• Write high-quality code and set standards for testing, code review, observability and data quality, including when AI-generated code needs a closer look
• Make pragmatic build-vs-buy and tradeoff decisions, and document them clearly
• Mentor engineers through pairing, design reviews and feedback, and lead a few direct reports
• Keep sensitive financial and personal data secure and compliant

• 8+ years of professional software engineering, including technical leadership at the senior or staff level
• A software engineer first: deep expertise in at least one modern backend language (e.g., Python, Ruby, Go, Type Script or Java), and a record of building and shipping application systems, not only data pipelines
• Strong data engineering: SQL, data modeling, warehouses (e.g., Snowflake or Big Query), transformation (e.g., dbt) and orchestration (e.g., Prefect or Airflow)
• Experience designing and scaling APIs, distributed systems and relational databases
• Hands-on experience with cloud infrastructure (AWS or GCP) and CI/CD
• Product sense: you care about why something gets built and whether it worked, not just how it's built
• Fluency with AI coding tools, and the judgment to know when their output isn't good enough
• A track record of leading ambiguous, high-impact projects to completion
• Clear written and verbal communication with technical and non-technical partners

• Experience in fintech,…