Data Engineer

AI overview

Join a dynamic Data team to design and implement scalable data infrastructure and pipelines that impact the renting experience for millions.

Rhino + Jetty is making housing more affordable and accessible for millions of renters each year. R + J is the market-leading real estate platform dedicated to improving the financial lives of renters and the property managers who support them.


R + J has continued to expand its platform with end-to-end deposit management, simplifying how security deposits and insurance-based alternatives are offered, managed, and administered. Today, our comprehensive product suite—including security deposit insurance, cash security deposit management, lease guarantees, renters insurance, and loss of employment insurance—helps transform the renting experience by making moving easier, more affordable, and more transparent for everyone involved.


This role will be a core member of the Data team, reporting to the Director, Data. 


In this role, you will:

  • Contribute to the design and implementation of scalable data infrastructure, pipelines and models for core data assets
  • Drive code quality, reliability, and engineering best practices across the data stack
  • Partner closely with the Risk team to build robust, automated data pipelines for insurance reporting processes, including actuarial and bordereaux reports
  • Design and implement data integration solutions to consolidate siloed datasets across the organization, establishing unified data models and improving accessibility
  • Build and maintain data infrastructure that enables self-service analytics capabilities while enforcing data governance, quality controls, and security standards


We’re ideally seeking:

  • Proven end-to-end ownership of data solutions from requirements through delivery, effectively balancing business needs with technical realities. Own the outcome. 
  • Experience working in a fast-paced, high-growth environment with a track record of delivering reliable data solutions
  • Proven expertise across the modern data stack, including cloud data warehouses (Snowflake, BigQuery), transformation frameworks (dbt), orchestration platforms (Airflow, Dagster), data integration tools (Fivetran, Airbyte), and business intelligence platforms (Tableau, Looker). Experience with Data Lakehouse architectures (Hudi, Iceberg) is a plus.
  • Background in fintech or insurtech with experience building and maintaining data pipelines for financial product reporting (e.g. actuarial reports, loan tapes, regulatory filings)
  • Strong software engineering fundamentals including version control, testing, CI/CD, and data quality validation
  • Proven ability to collaborate with cross-functional teams (analytics, product, risk) to understand requirements and deliver scalable data solutions
  • Experience with SQL, Python, and modern data engineering best practices


Benefits:

Base Salary Range: $135,000 - $175,000


Rhino + Jetty has partnered with a number of compensation benchmarking tools to determine competitive and fair market pay bands for our size and stage. Our goal is to ensure each employee is paid equitably and competitively while also maintaining a consistent and standardized methodology.


Individual pay decisions are based on a number of factors including qualifications for the role, experience level and balancing internal equity relative to other teammates.


Base salary is just one part of our Total Rewards Package here at R + J. In connection with this position, we also offer:

  • 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 to give our employees a direct stake in R + J’s success
  • Remote-first work culture with opportunities to collaborate as a team in person
  • Monthly lifestyle stipend to fit your needs (meals, wellness, co-working)

Perks & Benefits Extracted with AI

  • Health Insurance: Medical, Dental, and Vision coverage (up to 90% employer contribution) - eligible from your start date
  • Monthly lifestyle stipend: Monthly lifestyle stipend to fit your needs (meals, wellness, co-working)
  • Paid Parental Leave: Generous Paid Parental Leave
  • Paid Time Off: Unlimited PTO Policy
  • Remote-Friendly: Remote-first work culture with opportunities to collaborate as a team in person
  • Stock Options: Stock option plan to give our employees a direct stake in R + J’s success
Salary
$135,000 – $175,000 per year
Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Data Engineer Q&A's
Report this job
Apply for this job