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# Data Engineer I (Databricks, Mlops)

- **Company:** Travelers Companies, Inc.
- **Location:** Saint Paul, MN, United States
- **Experience:** Experienced
- **Salary:** $109,300.0 - $180,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Cyber Security, Continuous Integration, Data Cleansing, Information Engineering, Data Governance, Data Security, Data Systems, Software Debugging, Github, Systems Analysis, Machine Learning, Software Engineering, Test Data, Large Language Models, Generative AI, Core Data, Information Technology, Data Management, Machine Learning Operations, Model Registry, Terraform, Databricks, Programming Languages
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-engineer-i-databricks-mlops-saint-paul-mn--96f56328-4fbf-469f-8d72-9bc1a1e59d31

## About the Role

Analysis Skills, Machine Learning, Business Intelligence, Artificial Intelligence (AI), Data Collection, Data Management, Information/Data Security (InfoSec), Data Quality, Data Analysis, Systems Analysis, * Bachelor's Degree in STEM related field or equivalent.

 * Six years of related experience.
 * Experience with the Databricks platform, including MLflow for experiment tracking, model registry, and model serving.
 * Familiarity with infrastructure-as-code and CI/CD tooling such as Terraform, GitHub Actions, and Databricks Asset Bundles.
 * 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.
 * Proficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of software engineering practices.
 * The ability to deliver work at a steady, predictable pace to achieve commitments, decompose work assignments into small batch releases, and contribute to tradeoff and negotiation discussions.
 * Demonstrated track record of domain expertise including the ability to understand technical concepts and possess in-depth knowledge of immediate systems worked on.
 * Proven problem solving skills including debugging skills, allowing you to determine source of issues in unfamiliar code or systems and the ability to recognize and solve repetitive problems.
 * Strong verbal and written communication skills with the ability to interact with team members and business partners.
 * Leadership - Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities.

What is a Must Have?

 * Bachelor's degree in computer science, related STEM field, or its equivalent in education and/or work experience.
 * 2 additional years of software/data engineering experience.

## Description

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.