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Salary: USD 135,000 - 175,000 / annual
Greenlight Rent (formerly Rhino + Jetty) is a market-leading rental housing platform making housing more affordable and accessible for millions of renters. The company pioneered security deposit insurance and now offers a growing suite of products including deposit management, lease guarantees, and loss-of-employment protection. They support 3 million rental units nationwide and partner with 47 of the NMHC Top 100 property owners.
In this Data Engineer role, you will contribute to designing and implementing scalable data infrastructure, pipelines, and models for core data assets. You'll drive code quality and engineering best practices across the data stack, partner closely with the Risk team to build automated data pipelines for insurance reporting (actuarial and bordereaux reports), and design data integration solutions to consolidate siloed datasets across the organization. You'll also build and maintain data infrastructure enabling self-service analytics while enforcing governance, quality controls, and security standards.
The ideal candidate brings proven end-to-end ownership of data solutions from requirements through delivery, with a track record in fast-paced, high-growth environments. You should have 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 BI platforms (Tableau, Looker). Experience with Data Lakehouse architectures (Hudi, Iceberg) is a plus. Background in fintech or insurtech with experience building data pipelines for financial product reporting (actuarial reports, loan tapes, regulatory filings) is highly valued.
You'll need strong software engineering fundamentals including version control, testing, CI/CD, and data quality validation. Proficiency in SQL and Python is required, along with proven ability to collaborate with cross-functional teams (analytics, product, risk) to understand requirements and deliver scalable solutions.
REQUIREMENTS:
- Proven end-to-end ownership of data solutions from requirements through delivery
- Experience in fast-paced, high-growth environments with track record of reliable data solutions
- Expertise across modern data stack: cloud data warehouses (Snowflake, BigQuery), transformation frameworks (dbt), orchestration (Airflow, Dagster), data integration (Fivetran, Airbyte), BI platforms (Tableau, Looker)
- Data Lakehouse architecture experience (Hudi, Iceberg) preferred
- Background in fintech or insurtech with experience building data pipelines for financial product reporting (actuarial reports, loan tapes, regulatory filings)
- Strong software engineering fundamentals: version control, testing, CI/CD, data quality validation
- Proficiency in SQL and Python
- Ability to collaborate with cross-functional teams (analytics, product, risk)
