Data Engineer I (Databricks, MLOps)

Travelers • Hartford, CT

9h

About The Position

Travelers’ Data Engineering team builds pipelines that contextualize data and make it accessible across the enterprise. The Data Engineer will help grow and transform the company’s analytics landscape by designing, building, and deploying data solutions that capture, explore, transform, and use data to support artificial intelligence, machine learning, and business intelligence and insights. The role includes developing and operationalizing data solutions, supporting data governance, security, and quality, and collaborating with teams and end users to deliver and use data products. Applicants must be authorized to work for any U.S. employer. 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.
• Two additional years of software or data engineering experience.
• Experience with the Databricks platform, including MLflow for experiment tracking, model registry, and model serving.
• Familiarity with infrastructure-as-code and CI/CD tools such as Terraform, GitHub Actions, and Databricks Asset Bundles.
• Proficiency with cloud platforms, programming languages, and software engineering practices.
• Ability to deliver work at a steady, predictable pace, meet commitments, break assignments into small batch releases, and contribute to tradeoff and negotiation discussions.
• Demonstrated domain expertise, including the ability to understand technical concepts and in-depth knowledge of immediate systems worked on.
• Problem-solving and debugging skills, including the ability to diagnose issues in unfamiliar code or systems and recognize and solve 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.

Nice To Haves

• Six years of related experience.
• Exposure to MLOps practices, including model deployment pipelines, monitoring, and lifecycle management.
• Interest or experience in generative AI tooling, LLM orchestration frameworks, or related emerging technologies.

Responsibilities

• Build and operationalize complex data solutions, resolve 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.
• Apply data management practices, including data governance, data security, and data quality.
• Collaborate within and across teams to support delivery and educate end users on data products and the analytics environment.
• Perform data and system analysis, assess and resolve moderately complex defects and incidents, and make corrections 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) matching on contributions up to the first 5% of eligible pay, subject to an annual maximum.
• Paying it Forward Savings Program, through which Travelers makes an annual 401(k) contribution when an employee makes a student loan payment.
• Pension Plan funded 100% by Travelers.
• Minimum of 20 days of paid time off annually.
• Nine paid company holidays.
• Wellness program with tools, discounts, and resources for wellness goals and caregiving needs.
• Mental health program offering free professional counseling, health coaching, and other resources.
• Matching Gift and Volunteer Rewards program.

What This Job Offers

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