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Data Engineer — Remote Opportunity

Torentify
Department:Data Engineer
Type:REMOTE
Region:USA
Location:United States
Experience:Junior
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Job Description

Posted on: October 1, 2026

# Associate Data Engineer


## About the Role


Crum & Forster is seeking an **Associate Data Engineer** to support the S&S Data Science team’s **External Data** function. This role focuses on building and maintaining data pipelines that bring third-party data into underwriting, claims, and business intelligence (BI) workflows.


Working alongside an established Data Engineer, you will create scalable ETL/ELT jobs, integrate external data sources through REST APIs, and help ensure data quality for analytics and data science models. This is a **remote role with a U.S.-wide scope**.


## Key Responsibilities


* Build and maintain data pipelines for third-party and external data.

* Develop scalable ETL/ELT jobs.

* Integrate external data sources using REST APIs.

* Bring third-party data into underwriting workflows.

* Support data integration for claims workflows.

* Support business intelligence (BI) workflows with external data.

* Work alongside an established Data Engineer.

* Ensure data quality for analytics and data science models.

* Support the External Data function within the S&S Data Science team.

* Contribute to scalable data engineering solutions for external data integration.


## Required Qualifications


* Experience with data engineering and data pipeline development.

* Experience building or maintaining ETL/ELT jobs.

* Experience integrating external data sources through REST APIs.

* Understanding of data quality requirements for analytics and data science models.

* Ability to work collaboratively with an established Data Engineer.

* Ability to support data workflows involving underwriting, claims, and/or BI.


## Preferred Qualifications


* The original job description does not specify additional preferred qualifications.


## Skills & Competencies


* Data engineering

* Data pipelines

* ETL/ELT

* REST APIs

* External data integration

* Third-party data

* Data quality

* Analytics data workflows

* Data science workflows

* Business intelligence (BI)

* Underwriting data

* Claims data

* Scalable data solutions

* Collaboration


## Education & Experience


**Education**


* No specific education requirement is stated in the original job description.


**Experience**


* Experience with data engineering, ETL/ELT, data pipelines, and REST API integrations is required based on the role description.

* No specific years of experience are stated.


## Work Arrangement & Schedule


* **Work Arrangement:** Remote

* **Location:** United States — U.S.-wide scope

* **Employment Type:** Not specified in the original job description.

* **Weekly Hours:** Not specified in the original job description.

* **Schedule:** Not specified in the original job description.


## Compensation & Benefits


* Compensation is not specified in the original job description.

* Benefits are not specified in the original job description.


## Compliance / Additional Information


* **Company:** Crum & Forster

* **Team:** S&S Data Science — External Data function.

* The role supports data workflows across underwriting, claims, business intelligence, analytics, and data science.


Originally posted on LinkedIn

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