Data Engineer

Job not on LinkedIn

🕒 September 28

🗽 New York – Remote

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💵 $135k - $175k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 10%

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Airflow

BigQuery

Cloud

Python

SQL

Tableau

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Logo of Rhino

Rhino

201 - 500 employees

🏠 Real Estate

💸 Finance

🛡️ Insurance

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.

📋 Description

• Design and implement scalable data infrastructure, pipelines, and models for core data assets • Drive code quality, reliability, and engineering best practices across the data stack • Partner with the Risk team to build automated data pipelines for insurance reporting, including actuarial and bordereaux reports • Design and implement data integration solutions to consolidate siloed datasets across the organization • Establish unified data models and improve data accessibility • Build and maintain data infrastructure enabling self-service analytics • Enforce data governance, quality controls, and security standards

🎯 Requirements

• Proven end-to-end ownership of data solutions from requirements through delivery • Experience working in a fast-paced, high-growth environment • Expertise with cloud data warehouses including Snowflake and BigQuery • Experience with dbt • Experience with orchestration platforms including Airflow and Dagster • Experience with data integration tools including Fivetran and Airbyte • Experience with business intelligence platforms including Tableau and Looker • Experience with Data Lakehouse architectures such as Hudi and Iceberg is a plus • Background in fintech or insurtech • Experience building and maintaining data pipelines for financial product reporting, such as actuarial reports, loan tapes, and regulatory filings • Strong software engineering fundamentals including version control, testing, CI/CD, and data quality validation • Ability to collaborate with analytics, product, and risk teams • Experience with SQL and Python • Experience with modern data engineering best practices

🏖️ Benefits

• Competitive cash compensation package including 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 for meals, wellness, and co-working

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