Data Engineer I (AWS, Python, GenAI)

The Travelers Indemnity Company; Hartford (CT); On-site; USD 109,300 - 180,200; Full time

Job summary

The Travelers Indemnity Company is seeking a Data Engineer to join our Data Engineering team in Hartford, Connecticut. You will build and operationalize data solutions, analyze sources, and collaborate across teams to support data products.

Success in this role requires a Bachelor's degree in a STEM field, 6+ years of experience, and considerable expertise in ETL processes with Python or PySpark. Join us to innovate and enhance our analytics landscape.

Qualifications

• 6+ years of related experience, including 3+ years in a Data Engineer role.
• 2+ years of hands-on ETL experience with Python or PySpark.
• Experience developing generative AI applications.

Responsibilities

• Build and operationalize complex data solutions.
• Design data solutions and analyze data sources.
• Collaborate within teams to support delivery.

Skills

ETL with Python or PySpark

Cloud platform experience (AWS preferred)

Data governance and data quality

Collaborative teamwork

Data analysis

Education

Bachelor’s Degree in STEM

Tools

AWS services (S3, IAM, etc.)

Job description

Who Are We?

Taking care of our customers, our communities and each other. That’s the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.

Compensation Overview

The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Salary Range

$109,300.00 - $180,200.00

Target Openings

1

What Is the Opportunity?

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Data Engineer, you will play a key role in growing and transforming our analytics landscape. In addition to your strong analytical mind, you will bring your inquisitive attitude and ability to translate the stories found in data. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights. Applicants must be authorized to work for ANY employer in the U.S. The company does not sponsor/support H-1B petitions, TN, or Forms I-983/STEM OPT, for this role.

What Will You Do?

• Build and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing/quality solutions.
• Design data solutions.
• Analyze sources to determine value 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 data products/analytic environment.
• Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.
• Test data movement, transformation code, and data components.
• Perform other duties as assigned.

What Will Our Ideal Candidate Have?

• Bachelor’s Degree in STEM related field or equivalent.
• Six years of related experience.
• 3+ years in a data engineer role, with additional time spent working in the IT industry or an engineering related field, adding up to 7+ years.
• 2+ years of hands‑on ETL experience with Python or PySpark
• Experience working with Cloud platform (AWS, Azure, Google, etc. - preferable AWS) and Cloud platform services. (Example of AWS core services: S3, IAM, lambda, Secret Manager, EC2.)
• Experience developing generative AI applications and large language models or equivalent technologies.