Data Engineer

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Rhino

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Real Estate • Finance • Insurance

Rhino is a company providing a platform that simplifies the renting process by offering security deposit insurance and renters insurance. Their mission is to revolutionize the rental industry by making deposits more affordable and streamlining the rental journey for both renters and property owners. Rhino serves as a guarantor, allowing tenants to move in without large upfront cash deposits and offers comprehensive digital tools for property managers. The company aims to provide financial flexibility for renters and streamlined management for landlords through its integrated platform, offering a new age of digital cash deposits and lease guarantees.

201 - 500 employees

🏠 Real Estate

💸 Finance

📋 Description

• 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

🎯 Requirements

• 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

• 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)