Data Engineer II (AWS, Python, SQL)
$126,500–$208,700 year
On-siteHartford, Connecticut, United States or Saint Paul, Minnesota, United States
Job Summary
Own and deliver data pipeline development and ongoing support for Property and General Liability pricing use cases. Lead model implementation for pricing models in partnership with Data Science and Actuarial teams, while building and serving as the GL data subject matter expert. Execute complex data preparation activities including exploration, cleansing, and transformation, then translate actuarial requirements into scalable, production-ready data solutions. Establish data quality controls and monitoring for model performance, presenting technical recommendations to influence data architecture decisions. Provide project leadership through code reviews, design guidance, and mentoring within the team, applying agile methodologies to plan and deliver work across concurrent initiatives.
Required Qualifications
- Bachelor's Degree in STEM related field or equivalent
- Eight years of related experience
- Deep, hands-on experience with modern engineering tools and practices, including: Cloud platforms (preferably AWS) and model implementation in the cloud
- Programming in Python and SQL
- Working with data engineering concepts and building/maintaining data pipelines
- AI-native solutions and modern software engineering practices (e.g., APIs, microservices, test automation)
- Proven ability to deliver high-quality solutions at a steady, predictable pace: Breaks work into small, releasable increments
- Delivers complete, robust solutions while effectively managing tradeoffs
- Demonstrated domain expertise, including: Strong understanding of relevant technical concepts and industry trends
- In-depth knowledge of the systems you've worked on and familiarity with adjacent systems
- Strong problem-solving skills with a focus on building resilient, long-lived systems and finding innovative ways to resolve issues
- Excellent written and verbal communication skills, with the ability to collaborate effectively with engineers, product partners, and business stakeholders
- Proven experience leading or mentoring other engineers and helping to create a safe, inclusive environment where others can learn and grow
- Self-motivated, with a track record of proactively identifying opportunities, driving improvements, and following through on team efforts
- Bachelor's degree in computer science, related STEM field, or its equivalent in education and/or work experience
- 4 additional years of data engineering experience
Desired Qualifications
- Experience in or exposure to the insurance industry, or a strong desire to learn the domain
- Experience with Infrastructure as Code and DevOps tooling, such as Terraform and CI/CD pipelines
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