Data Engineer I (AWS, Python, GenAI)

Travelers • Hartford, CT

2d • $112,000 - $184,800

About The Position

Travelers’ Data Engineering team builds pipelines that contextualize data and make it easily accessible across the enterprise. The Data Engineer will help grow and transform the company’s analytics landscape by designing, building, and deploying data solutions to capture, explore, transform, and use data in support of artificial intelligence, machine learning, and business intelligence and insights.

The role includes building and operationalizing data solutions, analyzing data sources, applying data management practices, collaborating with teams and end users, and testing and resolving data and system issues. Applicants must be authorized to work for any employer in the United States. Travelers does not sponsor or support H-1B petitions, TN status, or Forms I-983/STEM OPT for this role.

Requirements

• Bachelor’s degree in computer science, a related STEM field, or equivalent education and/or work experience.
• The posting states six years of related experience, and also describes 3+ years in a data engineer role plus additional IT industry or engineering experience totaling 7+ years.
• At least 2 years of machine learning/artificial intelligence experience with Python.
• Experience with a cloud platform such as AWS, Azure, or Google Cloud; AWS is preferred.
• Experience deploying production applications with large language models; familiarity with agents, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning.
• Proficient use of cloud platforms, programming languages, and tools and techniques, with an understanding of software engineering practices.
• Ability to deliver work at a steady, predictable pace, meet commitments, decompose assignments into small-batch releases, and contribute to tradeoff and negotiation discussions.
• Demonstrated domain expertise, including understanding technical concepts and in-depth knowledge of immediate systems worked on.
• Problem-solving and debugging skills, including determining the source of issues in unfamiliar code or systems and recognizing and solving repetitive problems.
• Strong verbal and written communication skills and ability to interact with team members and business partners.
• Intermediate leadership skills and a track record of self-motivation in identifying personal growth opportunities.
• Two additional years of software or data engineering experience.

Nice To Haves

• AWS experience is preferred over experience with other cloud platforms.
• Familiarity with AWS S3, IAM, Lambda, Secrets Manager, and EC2.

Responsibilities

• Build and operationalize complex data solutions; correct problems, apply transformations, and recommend data cleansing and quality solutions.
• Design data solutions.
• Analyze data sources to determine their value and recommend data for analytical processes.
• Incorporate data governance, data security, and data quality practices.
• Collaborate within and across teams to support delivery and educate end users on data products and the analytic environment.
• Perform data and system analysis, assess and resolve defects and incidents of moderate complexity, and correct issues 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 from the first day of employment.
• Dollar-for-dollar 401(k) contribution matching up to the first 5% of eligible pay, subject to an annual maximum.
• Paying it Forward Savings Program contributions to employees’ 401(k) accounts when they make student loan payments.
• A pension plan funded 100% by Travelers.
• At least 20 days of paid time off annually and nine paid company holidays.
• Wellness program with tools, discounts, and resources supporting wellness goals and caregiving needs.
• Access to free professional counseling, health coaching, and other mental health resources.
• Matching Gift and Volunteer Rewards program.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level