Data Engineer I (Databricks, MLOps) at Travelers

Hartford, Arkansas, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Jun, 26

Salary

180200.0

Posted On

08 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Databricks, MLOps, MLflow, Terraform, GitHub Actions, Databricks Asset Bundles, CI/CD, Generative AI, LLM Orchestration, Cloud Platforms, Programming Languages, Data Governance, Data Security, Data Quality, Software Engineering, Problem Solving

Industry

Insurance

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. Job Category Technology 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. This role sits within our Personal Insurance DataOps/MLOps engineering team, focused on building and maintaining the infrastructure, automation, and tooling that support the machine learning model lifecycle on the Databricks platform. You will help operationalize ML workflows, streamline CI/CD pipelines for data and model assets, and enable reliable, repeatable deployments across environments. 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. 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. What Is in It for You? Health Insurance: Employees and their eligible family members – including spouses, domestic partners, and children – are eligible for coverage from the first day of employment. Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers. Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays. Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs. Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice. Employment Practices Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences. In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions. If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you. Travelers reserves the right to fill this position at a level above or below the level included in this posting. To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/. Travelers has more than 30,000 employees in the United States, Canada, the United Kingdom, and Ireland. >> Explore life at Travelers. We have 10 diversity networks, employee-led organizations dedicated to fostering the development and success of our employees. >> Discover diversity and inclusion. Employees and their eligible family members – including spouses, domestic partners and children – are eligible for coverage from the first day of employment. >> Explore benefits. Travelers has been recognized by organizations such as G.I. Jobs, Human Rights Campaign Foundation, and Military Times. >> Read more about recognition. Our employees are valuable assets to their hometowns, volunteering for important causes each year. >> Learn about community involvement. Imagine other opportunities here.

Responsibilities

The role involves building and operationalizing complex data solutions, applying transformations, and recommending data cleansing/quality solutions while designing data solutions based on source analysis. Responsibilities also include operationalizing ML workflows, streamlining CI/CD pipelines for data and model assets, and enabling reliable deployments across environments.