Data Engineer II, GenAI

Travelers is a property casualty insurance company with a technology organization focused on innovation and collaboration. The Data Engineer II, GenAI will design, build, deploy, and operationalize complex data solutions and pipelines supporting artificial intelligence, machine learning, and business intelligence. The role also involves data governance, quality, security, testing, incident resolution, and collaboration across teams.

Responsibilities

Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions

Design complex data solutions

Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes

Incorporate core data management competencies including data governance, data security and data quality

Collaborate within and across teams to support delivery and educate end users on complex data products/analytic environment

Perform data and system analysis, assessment and resolution for complex defects and incidents and correct as appropriate

Test data movement, transformation code, and data components

Perform other duties as assigned

Benefits

Health insurance coverage for employees and eligible family members, including spouses, domestic partners, and children, from the first day of employment.

Travelers matches 401(k) contributions dollar-for-dollar up to the first 5% of eligible pay, subject to an annual maximum.

Paying it Forward Savings Program: when employees make a payment toward a student loan, Travelers makes an annual contribution into their 401(k) account.

Pension Plan that is 100% funded by Travelers.

Minimum of 20 days of paid time off annually.

Nine paid company holidays.

Wellness program with tools, discounts, and resources supporting wellness goals and caregiving needs.

Mental health program with access to free professional counseling services, health coaching, and other resources.

Matching Gift and Volunteer Rewards program.

Company

Property and casualty insurance for homes, cars, valuables, businesses

New York, New York, USA

https://www.travelers.com/

Founded in 1853

10001+ employees

Qualifications

Bachelor's Degree in STEM related field or equivalent

Eight years of related experience

Expertise designing and building scalable, self-healing, cloud-native distributed compute data pipelines using AWS native services and/or Databricks as the primary compute and orchestration platform, loading into enterprise data platforms such as Snowflake

Hands-on experience building analytics pipelines using transformation frameworks such as dbt within framework-based, cloud-native pipeline architectures

Expertise designing and deploying production-grade, multi-agent AI applications using agent orchestration frameworks and runtimes such as AWS AgentCore or Databricks AgentBricks

Experience integrating structured and unstructured data sources through tool-calling patterns, including the Model Context Protocol (MCP), to surface actionable insights at scale

Strong foundational knowledge of large language model APIs, retrieval-augmented generation (RAG) patterns, vector databases, and embedding strategies, with the ability to apply these within multi-agent architectures to enable context-aware, data-grounded AI applications

Highly proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and a full understanding of modern software engineering practices

The ability to deliver work at a steady, predictable pace to achieve commitments, deliver complete solutions but release them in small batches, and identify and negotiate important tradeoffs

Demonstrated track record of domain expertise including understanding technical concepts necessary and industry trends, and possess in-depth knowledge of immediate systems worked on and some knowledge of adjacent systems

Strong problem solver who ensures systems are built with longevity and creates innovate ways to resolve issues

Strong written and verbal communication skills with the ability to work collaborate well with team members and business partners

Ability to lead team members and help create a safe environment for others to learn and grow as engineers. and a proven track record of self-motivation in identifying opportunities and tracking 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

Eight years of related experience.

Required skills

Data Engineering, AWS, Databricks, Snowflake, dbt, AWS AgentCore, Databricks AgentBricks, Model Context Protocol (MCP), Large Language Model APIs, Retrieval-Augmented Generation (RAG), Vector Databases, Embedding Strategies

Experience

8+ years