Crum & Forster

Associate Data Engineer (Remote)

Morristown, NJ, US$71,600-$105,000Posted 1 month ago

Job Description

Crum & Forster Company Overview: Crum & Forster (C&F) provides market leading property & casualty, accident & health, specialty and standard commercial lines insurance solutions. A true underwriting company, we have a 200-year history of helping our customers manage risk with laser-focused expertise, integrity and discipline. Our people are empowered to make decisions and problem-solve with you smartly and swiftly. Our annual gross written premium is 6.2 billion. C&F enjoys a financial strength rating of "A+" (Superior) by AM Best.

Our most valuable asset is our people. We have 3000 employees, and locations throughout the United States and India. With our employee-first focus, the Company is consistently recognized as a great place to work, earning multiple workplace and wellness awards, including the Great Place to Work® Award, Fortune 100 Best Companies to Work For, Fortune Best Workplaces for Parents, Fortune Best Workplaces for Millennials, and many others.

C&F is part of Fairfax Financial Holdings. For more information about C&F, please visit our website: www.cfins.com

Job Description

We are seeking an Associate Data Engineer to support the S&S Data Science team's External Data function. You will build and maintain the pipelines that bring third-party data sources into our underwriting, claims, and business intelligence workflows, working alongside an established data engineer. What you will do:* Build and maintain batch and streaming ETL/ELT pipelines that feed a cloud data warehouse * Develop, schedule, and monitor cloud data jobs, diagnosing failures and tuning for cost and performance * Write idempotent load logic that handles reprocessing and backfills without creating duplicate data * Integrate external data providers and APIs with authentication, error handling, and retries * Implement data quality checks, validation, and alerting to catch pipeline issues early * Manage and deploy pipelines using infr

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