Data Engineer - Remote

## About the Role Crum & Forster is seeking an Associate Data Engineer to support the S&S Data Science team's External Data function. The 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 opportunity with a US-wide scope. ## Key Responsibilities Build and maintain data pipelines for third-party and external data. Support the integration of external data into underwriting workflows. Support data integration for claims workflows. Enable external data usage within business intelligence (BI) workflows. Create scalable ETL/ELT data-processing jobs. Integrate external data sources using REST APIs. Work alongside an established Data Engineer on data engineering initiatives. Monitor and support data quality for analytics and data science models. Help develop reliable and scalable data workflows for external data. Support the S&S Data Science team's External Data function. ## Required Qualifications The provided job description does not specify formal degree, certification, or years-of-experience requirements. Candidates should have capabilities relevant to: Data engineering and data pipeline development. ETL/ELT development. REST API integration. External/third-party data integration. Data quality management. Analytics and business intelligence data workflows. Working collaboratively with other data engineers. ## Preferred Qualifications Experience building scalable ETL/ELT pipelines. Experience integrating third-party or external data sources. Experience working with REST APIs. Experience supporting underwriting or claims data workflows. Experience supporting business intelligence (BI) environments. Experience working with data used for analytics and data science models. ## Skills & Competencies Data Engineering Associate Data Engineering ETL ELT Data Pipelines Data Pipeline Development Scalable Data Workflows REST APIs API Integration External Data Integration Third-Party Data Data Quality Data Analytics Data Science Business Intelligence (BI) Underwriting Data Claims Data Data Integration Data Processing Pipeline Maintenance Data Engineering Collaboration ## Education & Experience The provided description does not state a specific degree requirement. The provided description does not state a specific number of years of experience. The role is identified as an Associate Data Engineer position and involves working with an established Data Engineer. ## Work Arrangement & Schedule Location: Morristown, NJ, US Work Arrangement: Remote Geographic Scope: US-wide Employment Type: Not specified in the provided job description. Schedule: Not specified in the provided job description. ## Compensation & Benefits Compensation: Not specified in the provided job description. Benefits: Not specified in the provided job description. ## Compliance / Additional Information The role supports the S&S Data Science team's External Data function. Data pipelines will support underwriting, claims, and BI workflows. The position involves working with third-party data and external data sources. Data quality is an important part of supporting analytics and data science models. No additional certifications, technologies, benefits, or experience requirements are specified in the provided description.