Data Engineer II – Gen AI

Travelers

Data Engineer II building GenAI data pipelines and solutions for Travelers, a property-casualty insurer. Supporting AI, machine learning, and enterprise analytics through cloud platforms and Python.

Posted 8/4/2026full-timeAtlanta • 🇺🇸 United StatesSeniorLead💰 $126,500 - $208,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and operationalizing complex data solutions while applying data governance, security, and quality practices. Proficient in Python and cloud platforms, with a strong understanding of Gen AI concepts and data engineering principles.

Highest-signal resume keywords

Data Engineering ExperienceProficiency In PythonGen AI Concepts UnderstandingCloud Platforms ExpertiseData Governance Practices

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data TransformationData CleansingData Quality SolutionsData AnalysisData Movement TestingArtificial Intelligence SupportMachine Learning SupportFull Stack DesignData Manipulation ToolsSoftware Engineering Practices

Soft Skills

Problem-Solving AbilityStrong Communication SkillsCollaboration SkillsLeadership SkillsSelf-Motivation

Certifications & Qualifications

Bachelor's Degree In STEM Field

Industry Keywords

Data SolutionsData GovernanceData SecurityAnalytical ProcessesComplex Data SourcesTechnical ConceptsIndustry Trends

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Build and operationalize complex data solutions
Correct problems and apply data transformations
Recommend data cleansing and quality solutions
Design complex data solutions
Analyze complex data sources to determine value and use
Recommend data for inclusion in analytical processes
Apply data governance, data security, and data quality practices
Collaborate across teams to support delivery
Educate end users on complex data products and analytics environments
Analyze, assess, and resolve complex data and system defects and incidents
Test data movement, transformation code, and data components
Support Artificial Intelligence, Machine Learning, and business intelligence and insights through data solutions
Perform other duties as assigned

Requirements

What you’ll need

Bachelor's degree in a STEM-related field or equivalent
Bachelor's degree in computer science, a related STEM field, or equivalent education and/or work experience
Eight years of related experience
Four additional years of data engineering experience
Understanding and experience with Gen AI concepts including Agentic Frameworks, RAG, LLM, Chunking, and Hyper-parameters
Experience as a Full Stack Designer, architect, or similar role, focused on data engineering and Gen AI applications
Proficiency in Python
Highly proficient use of cloud platforms, programming languages, data manipulation tools and techniques, and modern software engineering practices
Ability to deliver complete solutions in small batches and negotiate important tradeoffs
Domain expertise, understanding of technical concepts and industry trends, and in-depth knowledge of immediate systems plus some adjacent systems
Strong problem-solving ability and innovative issue resolution
Strong written and verbal communication skills
Ability to collaborate effectively with team members and business partners
Ability to lead team members and foster a safe learning and growth environment
Self-motivation in identifying opportunities and tracking team efforts

Benefits

Comp & perks

Health insurance from the first day of employment for employees and eligible family members
Dollar-for-dollar 401(k) matching up to the first 5% of eligible pay, subject to an annual maximum
Paying it Forward Savings Program with annual 401(k) contributions for eligible student loan payments
Pension Plan 100% funded by Travelers
Minimum of 20 days Paid Time Off annually
Nine paid company holidays
Wellness program with tools, discounts, and resources
Mental health program with free professional counseling services, health coaching, and other resources
Matching Gift and Volunteer Rewards program
Equal opportunity employment