Senior Manager, Data Engineering
About the role
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.
The Senior Manager, Data Engineering will be a key member of R + J’s Technology team and will report directly to the CTO. This is a tech lead manager role, with a split of roughly 60% hands-on engineering and 40% leading.
Responsibilities
- Lead a nimble, high-impact data team of three, including data engineers and analysts, while setting the technical bar and contributing directly to the hardest problems
- Own the entire data pipeline from warehouse to internal dashboards to external reporting, ensuring consistency and reliability across our data stack
- Drive the technical recommendations behind data infrastructure decisions and vendor selections in partnership with the CTO, to support company growth and a self-service analytics culture
- Partner closely with the Risk team to build structured, repeatable insurance reporting processes, including actuarial and bordereau reports
- Consolidate currently siloed analysis across the organization, creating unified reporting standards and data accessibility
- Enable self-service analytics capabilities across the company while maintaining data governance and quality standards
- Collaborate with the CTO and cross-functional teams to own the data roadmap and align it with business objectives and the broader technical roadmap
Requirements
- Hands-on experience with the full data stack: data warehouses (e.g. Snowflake, BigQuery), dbt, ETL tools (e.g. Fivetran, Stitch, Airflow), and BI platforms (e.g. Tableau, Looker)
- 6+ years building and owning production data pipelines, including experience leading a small data team as a player-coach in a high-velocity environment
- Background in fintech or insurtech with experience maintaining financial product reporting (e.g. actuarial reports, loan tapes)
- Experience managing and mentoring data engineers and analysts while contributing meaningful individual contributor work
- Strong ability to collaborate with cross-functional teams to understand and meet each organization’s data needs
Benefits
- Base Salary Range: $160,000 - $210,000 (individual pay decisions based on qualifications, experience, and internal equity)
- Competitive cash compensation package including base salary, milestone-based bonus, and other financial perks
- Medical, Dental, and Vision coverage (up to 90% employer contribution) – eligible from your start date
- 401(k), HSA, Life & Disability Insurance Coverage ($0 employee contribution for additional insurances)
- Unlimited PTO Policy
- Generous Paid Parental Leave
- Stock option plan
- Remote-first work culture with opportunities to collaborate as a team in person
- Monthly lifestyle stipend (meals, wellness, co-working)