Data Engineer

Rhino

. Contribute to the design and implementation of scalable data infrastructure, pipelines, and models for core data assets .

Posted 9/28/2026full-timeRemote • New York • United StatesMid-LevelSenior💰 $135,000 - $175,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data infrastructure and pipelines, with a strong focus on data governance, quality controls, and security standards. Proficient in leveraging cloud data warehouses and orchestration platforms to deliver reliable data solutions in fast-paced environments.

Highest-signal resume keywords

Cloud Data Warehouses (Snowflake, BigQuery)Data Integration Tools (Fivetran, Airbyte)Orchestration Platforms (Airflow, Dagster)SQL and Python ProficiencyData Governance and Quality Controls

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData Infrastructure DesignData ModelingData Quality ValidationVersion ControlCI/CD PracticesBusiness Intelligence (Tableau, Looker)Transformation Frameworks (dbt)Data Lakehouse Architectures (Hudi, Iceberg)Automated Reporting Processes

Soft Skills

CollaborationProblem-SolvingCommunication

Industry Keywords

FintechInsurtechActuarial ReportingRegulatory FilingsSelf-Service Analytics

Tech Stack

Tools & technologies

AirflowBigQueryCloudPythonSQLTableau

About the role

Key responsibilities & impact

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 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
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

What you’ll need

Proven end-to-end ownership of data solutions from requirements through delivery
Experience working in a fast-paced, high-growth environment with a track record of delivering reliable data solutions
Expertise with cloud data warehouses including Snowflake and BigQuery
Experience with transformation frameworks including 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, Python, and modern data engineering best practices

Benefits

Comp & perks

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