Associate Data Engineer (Remote)

Crum & Forster is a leading insurance company with a 200-year history, recognized for its employee-first focus and commitment to workplace excellence. They are seeking an Associate Data Engineer to support the S&S Data Science team's External Data function by building and maintaining data pipelines that integrate third-party data sources into their workflows.

Responsibilities:

• 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 infrastructure-as-code and CI/CD
• Support data migrations and service updates with minimal downtime
• Deliver clean, analytics, model-ready datasets for data scientists and analysts

Requirements:

• 1-5+ years of professional experience in data engineering or a related software/data role
• 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 building data pipelines
• Experience with at least one major cloud platform (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
• Hands-on experience with AWS data services such as Glue, Lambda, and S3
• Experience loading and modeling data in a cloud data warehouse (e.g. Snowflake)
• Experience with distributed processing frameworks such as Apache Spark
• Experience with streaming technologies such as Kafka or Kinesis
• Experience with infrastructure-as-code (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