[Remote] Associate Data Engineer (Remote)
Note: The job is a remote job and is open to candidates in USA. 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
Skills
- 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
Benefits
- Generous 401K employer match
- Employee Stock Purchase plan with employer matching
- Generous Paid Time Off
- Excellent benefits that go beyond health, dental & vision. Our programs are focused on your whole family’s wellness, including your physical, mental and financial wellbeing
- Tuition reimbursement, industry-related certifications and professional training
Company Overview
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