Senior Data Science Engineer Jobs in Connecticut
Senior Data Science Engineer jobs in Connecticut are open across Hartford, Greenwich, and Stamford and other Connecticut metros, with employers like Travelers, Cognizant, and CooperSurgical hiring at every experience level. Find a role that fits below and apply directly.
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Showing 5 of 13+ Senior Data Science Engineer jobs
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.
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
$139,400.00 - $230,000.00
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 Senior Data Engineer you will accelerate growth and transformation of our analytics landscape. You will bring a strong desire to guide team members' growth and develop data solutions that translate complex data into user-friendly terminology. 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 recommending data cleansing/quality solutions.
- Design complex data solutions, including incorporating new data sources and ensuring designs are consistent across projects and aligned to data strategies.
- Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.
- Incorporate core data management competencies including data governance, data security and data quality.
- Act as a data and technology subject matter expert within lines of business 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 high complexity and correct as appropriate.
- Collaborate across team to support delivery and educate end users on complex data products/analytic environment.
- Perform other duties as assigned.
What Will Our Ideal Candidate Have?
- Bachelor’s Degree in STEM related field or equivalent.
- Ten years of related experience.
- Demonstrated expertise designing, building, and maintaining scalable data pipelines on AWS, with hands-on experience across core services such as S3, Glue, Redshift, Lambda, and/or EMR.
- Proficiency in Databricks, including development and optimization of data workflows and leveraging the Lakehouse architecture for large-scale data processing.
- Solid understanding of AI/ML concepts, with the ability to collaborate with data science teams and support the deployment or operationalization of machine learning models within the data ecosystem.
- Hands-on experience with dbt for data modeling, transformation, and documentation, applying strong software engineering best practices to analytics workflows.
- Advanced proficiency in PySpark for distributed data processing, with the ability to write performant, production-grade code for large-scale batch and/or streaming workloads.
- Candidates coming from an Azure environment (e.g., Azure Data Factory, Synapse Analytics, Azure Databricks) will be considered, provided they demonstrate a clear ability to operate effectively within an AWS-based stack.
- Willingness to serve in a technical leadership capacity, including mentoring engineers, driving architectural decisions, and partnering with stakeholders across engineering and the business.
What is a Must Have?
- Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
- 6 additional years of 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/.
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.
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
$139,400.00 - $230,000.00
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 Senior Data Engineer you will accelerate growth and transformation of our analytics landscape. You will bring a strong desire to guide team members' growth and develop data solutions that translate complex data into user-friendly terminology. 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 recommending data cleansing/quality solutions.
- Design complex data solutions, including incorporating new data sources and ensuring designs are consistent across projects and aligned to data strategies.
- Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.
- Incorporate core data management competencies including data governance, data security and data quality.
- Act as a data and technology subject matter expert within lines of business 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 high complexity and correct as appropriate.
- Collaborate across team to support delivery and educate end users on complex data products/analytic environment.
- Perform other duties as assigned.
What Will Our Ideal Candidate Have?
- Bachelor’s Degree in STEM related field or equivalent.
- Ten years of related experience.
- Demonstrated expertise designing, building, and maintaining scalable data pipelines on AWS, with hands-on experience across core services such as S3, Glue, Redshift, Lambda, and/or EMR.
- Proficiency in Databricks, including development and optimization of data workflows and leveraging the Lakehouse architecture for large-scale data processing.
- Solid understanding of AI/ML concepts, with the ability to collaborate with data science teams and support the deployment or operationalization of machine learning models within the data ecosystem.
- Hands-on experience with dbt for data modeling, transformation, and documentation, applying strong software engineering best practices to analytics workflows.
- Advanced proficiency in PySpark for distributed data processing, with the ability to write performant, production-grade code for large-scale batch and/or streaming workloads.
- Candidates coming from an Azure environment (e.g., Azure Data Factory, Synapse Analytics, Azure Databricks) will be considered, provided they demonstrate a clear ability to operate effectively within an AWS-based stack.
- Willingness to serve in a technical leadership capacity, including mentoring engineers, driving architectural decisions, and partnering with stakeholders across engineering and the business.
What is a Must Have?
- Bachelor’s degree in computer science, related STEM field, or its equivalent in education and/or work experience.
- 6 additional years of 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/.
See All 13 Senior Data Science Engineer Jobs in Connecticut
Find roles in Connecticut that match your experience and apply in just a few clicks.
Find JobsSenior Data Science Engineer Jobs by City in Connecticut
Where Connecticut roles are concentrated, by current openings.
Senior Data Science Engineer Job Market in Connecticut
A snapshot from current Connecticut openings, updated as new roles post.
Who's Hiring
- Travelers6
- Cognizant2
- CooperSurgical1
- DRW1
- Gartner1
Top Industries Hiring
- Insurance6
- Investment & Asset Management3
- Banking & Financial Services2
- Consulting & Professional Services2
- Technology & Software2
What Connecticut Employers Look For
The qualifications that appear most often in senior data science engineer jobs across Connecticut.
- 5 or more years of experience in data science, machine learning, or a related engineering discipline
- Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
- Hands-on experience designing and deploying production-grade machine learning pipelines
- Strong command of distributed computing tools including Spark, Databricks, or equivalent platforms
- Experience with cloud platforms such as AWS, Google Cloud, or Azure for data and model infrastructure
- Bachelor's or master's degree in computer science, statistics, mathematics, or a closely related field
Senior Data Science Engineer Jobs in Connecticut: Frequently Asked Questions
How many senior data science engineer jobs are there in Connecticut?
There are 13+ senior data science engineer openings in Connecticut on Migrate Mate as of June 2026, with the most roles in Hartford, Greenwich, and Stamford. New positions post regularly as employers across Connecticut hire.
How much do senior data science engineers make in Connecticut?
Senior data science engineers in Connecticut earn a median of about $126,340 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $75,700 for the lowest 10% to over $204,680 for the top 10%. Pay rises with experience, specialty, and employer.
Which Connecticut cities have the most senior data science engineer jobs?
Hartford, Greenwich, and Stamford have the most senior data science engineer openings in Connecticut right now, with additional roles spread across smaller metros statewide.
Which companies hire senior data science engineers in Connecticut?
Employers hiring senior data science engineers in Connecticut include Travelers, Cognizant, and CooperSurgical, based on current listings on Migrate Mate as of June 2026.
Are there remote senior data science engineer jobs in Connecticut?
Yes. About 23% of senior data science engineer openings tied to Connecticut are remote or hybrid as of June 2026. The rest are on-site roles based in Connecticut metros.
How do I apply for senior data science engineer jobs in Connecticut?
You can apply to senior data science engineer jobs in Connecticut directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred Connecticut location, then apply to each one that fits.
See All 13 Senior Data Science Engineer Jobs in Connecticut
Find roles in Connecticut that match your experience and apply in just a few clicks.
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