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Job Description

Join the S&S Data Science team’s External Data function by building and operating pipelines that bring third-party information into underwriting, claims, and business intelligence workflows.

Responsibilities

  • Build and maintain batch and streaming ETL/ELT pipelines that load into a cloud data warehouse
  • Develop, schedule, and monitor cloud data jobs, including failure diagnosis and cost and performance tuning
  • Create idempotent load logic to support reprocessing and backfills without duplicate records
  • Integrate external data providers and REST APIs with authentication, error handling, and retries
  • Implement data quality checks, validation, and alerting to identify 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-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
  • Bachelor’s degree in Computer Science, Data Engineering, or a related technical field (or equivalent experience)
  • Strong programming skills in Python and SQL
  • Working knowledge of ETL/ELT and building data pipelines
  • Experience with at least one major cloud platform, with AWS preferred
  • Familiarity with REST APIs and integrating external data sources
  • High attention to data quality and reliability
  • Ability to communicate clearly with both technical and business audiences

Technologies

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

Benefits

  • Competitive compensation package (USD 71,600 - 105,000 per year)
  • 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

Desired Skills (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 (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

Location: Morristown, NJ (remote)

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