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Data Engineer I, MLOps

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 160 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

Data Analytics, 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

$106,300.00 - $175,400.00

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.

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
  • Proficient use of tools, techniques, and manipulation including Cloud platforms (AWS, Databricks), programming languages (Python, SQL), and an understanding of software engineering practices (CI/CD, Test Driven Development, Code Reviews).
  • The ability to perform data acquisition and data analysis
  • Familiarity with data management, data governance, and data security 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 or equivalent training with data tools, techniques, and manipulation.
  • Four years of data engineering or equivalent 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/.

Average salary estimate

$140850 / YEARLY (est.)
min
max
$106300K
$175400K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Engineer I, MLOps, Travelers

The Data Engineer I, MLOps position at Travelers in Hartford, CT, is an incredible opportunity for anyone passionate about data and its transformative power. Travelers is committed to innovation and collaboration, and as part of our Data Engineering team, you'll be at the forefront of this mission. Imagine being a crucial player in building data pipelines that not only contextualize information but also make it accessible to everyone in the enterprise. Your analytical mindset and curious nature will help you unravel the stories hidden within data. In this role, you will design, deploy, and operationalize complex data solutions that support artificial intelligence and business intelligence initiatives. You'll be working with some of the best tools and technologies, collaborating with teams across the organization, and transforming data into actionable insights. We're looking for someone who can dive deep into data, analyze sources for their value, and ensure the quality and governance of that data. If you have a keen interest in machine learning and a knack for problem-solving, you'll thrive here. The ideal candidate has a bachelor’s degree in a STEM field or equivalent training, has at least four years of relevant experience, and is proficient in cloud platforms, programming languages such as Python and SQL, and data management principles. Join us at Travelers, and be a part of a supportive community that nurtures your growth and development while making a lasting impact.

Frequently Asked Questions (FAQs) for Data Engineer I, MLOps Role at Travelers
What are the main responsibilities of a Data Engineer I, MLOps at Travelers?

As a Data Engineer I, MLOps at Travelers, your primary responsibilities include building and operationalizing complex data solutions, analyzing data sources, designing data solutions, and ensuring data quality and governance. You will collaborate with various teams to support the delivery and utility of data products, while also addressing data movement and transformation issues.

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What qualifications are needed for the Data Engineer I, MLOps position at Travelers?

To qualify for the Data Engineer I, MLOps position at Travelers, you need a bachelor’s degree in a STEM-related field or equivalent training. Additionally, you should have at least four years of relevant data engineering experience, familiarity with cloud platforms such as AWS and Databricks, and proficiency in programming languages including Python and SQL.

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How does Travelers support the professional growth of Data Engineer I, MLOps employees?

Travelers supports the professional growth of employees in the Data Engineer I, MLOps role through a culture of innovation and collaboration. We offer comprehensive training programs, mentorship opportunities, and a robust wellness program to help you achieve your career goals while supporting a balanced lifestyle.

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What technologies will a Data Engineer I, MLOps use at Travelers?

In the Data Engineer I, MLOps position at Travelers, you will work with various technologies including cloud platforms like AWS and Databricks, programming languages such as Python and SQL, and tools for data management, governance, and quality control to help you design and implement effective data solutions.

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What is the work culture like for Data Engineers at Travelers?

The work culture for Data Engineers at Travelers is collaborative and innovative. You'll be surrounded by a team that values diverse perspectives and encourages creative thinking, which creates a supportive environment for professional and personal development.

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Common Interview Questions for Data Engineer I, MLOps
Can you describe your experience with data pipelines and how you've implemented them in past roles?

When answering this question, focus on your specific responsibilities and technologies used in past roles. Highlight a project where you successfully built or optimized a data pipeline, including any challenges faced and how you overcame them to demonstrate your problem-solving skills.

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How do you ensure data quality and governance in your projects?

In your response, discuss the methodologies and tools you use to maintain data quality, such as automated tests, data profiling, and monitoring. It's also helpful to explain your approach to data governance, including data ownership and compliance with relevant regulations.

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What programming languages and tools are you most proficient in?

Be clear about your proficiency levels in programming languages like Python and SQL, and mention specific libraries or frameworks you've used. Also, discuss any familiarity with cloud platforms like AWS or Databricks, emphasizing how these tools enhance your work as a Data Engineer.

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How do you approach debugging data transformation issues?

When addressing this question, outline your systematic approach to identifying and resolving transformation issues. Mention techniques such as logging, testing, and reviewing code, and provide an example that demonstrates your analytical skills and attention to detail.

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Can you give an example of a project where you collaborated with other teams to deliver data solutions?

Share a specific example of a collaborative project, detailing the roles of various team members and your contributions. Highlight the importance of communication and teamwork, and discuss how the cross-functional collaboration ultimately enhanced the success of the project.

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What experience do you have with machine learning applications in data engineering?

In your answer, discuss any experience you've had working with machine learning models, including data preparation and feature engineering. If applicable, mention any successful projects where your engineering efforts helped in deploying a machine learning model.

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Describe your experience with CI/CD processes in data engineering.

Explain your understanding and experience with continuous integration and continuous deployment processes. Discuss tools you've used for version control, automation of deployment, and how these practices improve the efficiency of data engineering workflows.

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How do you prioritize tasks when working on multiple data engineering projects?

Share your time management strategies, including how you assess project urgency and importance. Discuss tools or techniques (like Kanban or Agile) you've used to keep track of tasks and ensure you meet deadlines without compromising quality.

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What steps do you take to stay updated with the latest developments in data engineering and MLOps?

Mention specific resources you utilize to stay informed, such as online courses, webinars, industry publications, and community forums. Also, explain the importance of continuous learning to you and how it influences your work as a Data Engineer.

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How would you explain complex data concepts to non-technical stakeholders?

Describe the techniques you use to simplify technical jargon into layman's terms. Give examples of past interactions with stakeholders where your communication style helped bridge the gap between technical and non-technical audiences.

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EMPLOYMENT TYPE
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DATE POSTED
April 15, 2025

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