Data Engineer II, AWS, Python, SQL

Travelers

Data Engineer II at Travelers focused on developing pricing solutions using data engineering. Collaborate with Actuarial and Data Science teams to enhance insurance pricing strategies.

Posted 7/21/2026full-timeHartford • Connecticut, Minnesota • 🇺🇸 United StatesSeniorLead💰 $126,500 - $208,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data pipeline development and model implementation, with a strong focus on cloud platforms, particularly AWS. Proficient in Python and SQL, with a commitment to applying MLOps practices and agile methodologies to deliver high-quality, scalable data solutions.

Highest-signal resume keywords

Data Pipeline DevelopmentCloud Platforms (AWS)Python ProgrammingSQL ProgrammingMLOps Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Engineering ConceptsModel ImplementationData Preparation ActivitiesAI-Native SolutionsTest AutomationInfrastructure as CodeDevOps ToolingAPIsMicroservicesData Quality Controls

Soft Skills

Problem-Solving SkillsExcellent Communication SkillsLeadershipMentoringSelf-Motivated

Tools & Technologies

TerraformCI/CD PipelinesCloud PlatformsData ArchitectureEnterprise Architecture

Industry Keywords

Insurance IndustryActuarialData ScienceModern Software Engineering PracticesBenchmarking

Tech Stack

Tools & technologies

AWSCloudMicroservicesPythonSQLTerraform

About the role

Key responsibilities & impact

Own and deliver data pipeline development and ongoing support for Property and GL pricing use cases
Lead model implementation for Property and GL pricing models in partnership with Data Science and Actuarial teams
Build and serve as the GL data subject matter expert to support benchmarks, modernization initiatives, and future enhancements
Provide project leadership, planning, and execution across Property and GL data engineering initiatives
Execute complex data preparation activities, including exploration, cleansing, and transformation, with awareness of enterprise architecture, platforms, and downstream consumption patterns
Translate actuarial and data science requirements into scalable, production-ready data solutions
Adopt and embed MLOps practices across the model development and implementation lifecycle
Establish data quality controls, profiling, and monitoring for model implementation and ongoing performance
Present analysis and technical recommendations to influence data architecture and implementation decisions
Provide technical leadership through code reviews, design guidance, and mentoring within the team
Apply agile methodologies to plan, prioritize, and deliver work across concurrent initiatives
Perform other duties as assigned

Requirements

What you’ll need

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.
Preferred, Not Required: 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.

Benefits

Comp & perks

Health Insurance : Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment.
Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.