Data Engineer - Fintech Risk & Analytics (Remote)

Greenlight Rent; New York (NY); Remote; USD 135,000 - 175,000; Full time

Benefits offered by this job

Medical, Dental, Vision insurance

401(k)

HSA

Unlimited PTO

Parental Leave

Stock options

Monthly lifestyle stipend

Remote-first culture

Job summary

Greenlight Rent seeks a data engineer to help build scalable data infrastructure and models in a remote-friendly, NYC-focused team. You will own end-to-end data solutions, collaborate with analytics, product, and risk, and implement robust pipelines for insurance and financial reporting.

Ideal candidates have hands-on experience with Snowflake/BigQuery, dbt, Airflow or Dagster, and strong Python/SQL skills.

Qualifications

• Experience owning end-to-end data solutions from requirements to delivery.
• Proven track record in fast-paced, high-growth environments with reliable data solutions.
• Strong command of the modern data stack and cloud data warehouses.
• Experience building data pipelines for financial or insurtech reporting is a plus.

Responsibilities

• Contribute to scalable data infrastructure, pipelines and models for core data assets.
• Drive code quality, reliability, and engineering best practices across the data stack.
• Partner with Risk to build automated data pipelines for actuarial and bordereaux reports.
• Design data integration to consolidate siloed datasets with unified models.
• Build data infrastructure enabling self-service analytics with governance and security.

Skills

SQL

Python

Data modeling

Data governance

Cross-functional collaboration

Tools

Snowflake

BigQuery

dbt

Airflow

Dagster

Fivetran

Airbyte

Tableau

Looker

Hudi

Iceberg

Job description

Greenlight Rent seeks a data engineer to help build scalable data infrastructure and models in a remote-friendly, NYC-focused team. You will own end-to-end data solutions, collaborate with analytics, product, and risk, and implement robust pipelines for insurance and financial reporting.

Ideal candidates have hands-on experience with Snowflake/BigQuery, dbt, Airflow or Dagster, and strong Python/SQL skills.