Associate Data Engineer

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

This is a hands-on position based in Morristown, NJ, with remote work available. The salary range is USD 71,600 to 105,000 per year, and the position calls for roughly 1+ year of experience.

What you’ll do

• Build and maintain batch and streaming ETL/ELT pipelines that deliver data into a cloud data warehouse.
• Develop, schedule, and monitor cloud data jobs, including diagnosing failures and tuning for cost and performance.
• Create idempotent load logic to support reprocessing and backfills without duplicating data.
• Integrate external data providers and REST APIs with authentication, error handling, and retries.
• Implement data quality checks, validation, and alerting to detect pipeline issues early.
• Manage and deploy pipelines using infrastructure-as-code and CI/CD.
• Support data migrations and service updates with minimal downtime.
• Produce clean, analytics-ready and model-ready datasets for data scientists and analysts.

Requirements

• 1-5+ years of professional experience in data engineering or a related software/data role.
• A Bachelor’s degree in Computer Science, Data Engineering, or a related technical field, or equivalent experience.
• Strong programming skills in Python and SQL.
• Familiarity with ETL/ELT concepts and experience building data pipelines.
• Experience with at least one major cloud platform, with AWS preferred.
• Familiarity with REST APIs and integrating external data sources.
• Strong attention to data quality and reliability.
• Ability to communicate clearly with both technical and business audiences.

Technologies

• Python, SQL
• AWS, including AWS Glue, AWS Lambda, and S3
• Snowflake
• Apache Spark
• Kafka, Kinesis
• ETL, ELT
• Infrastructure-as-code: CDK, Terraform, CloudFormation
• CloudWatch, CI/CD
• REST APIs

Benefits

• Competitive compensation package
• Generous 401K employer match
• Employee Stock Purchase plan with employer matching
• Generous Paid Time Off
• Excellent benefits that go beyond health, dental & vision
• Tuition reimbursement, industry-related certifications and professional training
• Dynamic, ambitious, fun and exciting work environment
• Matching donation program, volunteer opportunities, and an employee-driven corporate giving program

Nice to have

• Hands-on experience with AWS data services such as Glue, Lambda, and S3
• Experience loading and modeling data in a cloud data warehouse (for example Snowflake)
• Experience with distributed processing frameworks such as Apache Spark
• Experience with streaming technologies such as Kafka or Kinesis
• Experience with infrastructure-as-code (such as CDK, Terraform, or CloudFormation) and monitoring with CloudWatch
• Knowledge of geospatial analysis
• Familiarity with zero-downtime deployment patterns such as blue-green deployments
• Interest in insurance, underwriting, or claims