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Data Software Engineer Jobs in Connecticut (NOW HIRING)

$115K - $138K/yr

Familiarity with software development practices, version control, GitHub, APIs, testing frameworks ... Data Engineering Certification SOFT SKILLS Hands-on builder mindset with the ability to move ...

Sr Software Engineer

Bristol, CT · On-site

$122K - $161K/yr

We are seeking a highly skilled Senior Software Engineer to join our Content Platform Data Engineering team, focusing on building and enhancing platform capabilities with a strong emphasis on ...

Project - Data Engineer II

Hartford, CT · On-site

$115K - $138K/yr

... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ...

AVP, Data Platform Engineering

Hartford, CT · On-site

$115K - $138K/yr

... modern software engineering approaches. * Ensure enterprise data platforms are designed and ... operated for scalability, resilience, security, compliance, and operational excellence. * Lead the ...

Project - Data Engineer II

Stamford, CT · On-site

$122K - $146K/yr

... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ...

Showing results 21-40

Data Software Engineer information

See Connecticut salary details

$42.3K

$123.4K

$168.9K

How much do data software engineer jobs pay per year?

As of Aug 3, 2026, the average yearly pay for data software engineer in Connecticut is $123,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,800.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior software engineers, data engineers, and machine learning engineers with extensive experience, specialized skills, and often working in high-demand industries or companies can earn $300,000 or more annually. Achieving this level typically requires advanced technical expertise, certifications, and sometimes leadership responsibilities or stock options.

What engineers make $500,000?

Senior software engineers, especially those working in high-demand areas like technology, finance, or specialized fields such as machine learning or cybersecurity, can earn $500,000 or more annually. Achieving this level often requires extensive experience, advanced skills, and sometimes stock options or bonuses in addition to base salary.

What does a software data engineer do?

A software data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making. Strong programming skills and knowledge of database systems are essential for this role.

What are Data Software Engineers?

Data Software Engineers are professionals who design, build, and maintain the software systems that enable organizations to collect, process, and analyze large volumes of data. They bridge the gap between data engineering and software development by creating scalable, efficient pipelines and applications that support data-driven decision making. Their responsibilities often include developing data processing frameworks, ensuring data quality, and collaborating with data scientists and analysts to deliver actionable insights.

What are the key skills and qualifications needed to thrive as a Data Software Engineer, and why are they important?

To thrive as a Data Software Engineer, you need strong programming skills (often in Python, Java, or Scala), a solid understanding of data structures and algorithms, and a background in computer science or a related field. Familiarity with big data frameworks (like Hadoop or Spark), database systems (SQL/NoSQL), and data pipeline tools is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving abilities, collaboration, and effective communication are soft skills that set top performers apart. These skills ensure the efficient design, development, and optimization of robust data systems critical for driving business insights and decision-making.

What is the difference between Data Software Engineer vs Data Engineer?

AspectData Software EngineerData Engineer
Primary FocusDeveloping software tools and applications for data processing and analysisBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsProgramming, software development, data modeling, often with certifications in software engineeringDatabase systems, ETL tools, cloud platforms, often with certifications in data engineering
Work EnvironmentSoftware development teams, data science teams, often in tech companiesData infrastructure teams, IT departments, cloud service providers

While both roles work with data, Data Software Engineers focus on creating software solutions for data analysis, whereas Data Engineers build the infrastructure to collect, store, and process data efficiently. Both roles require programming skills and often overlap, but their core responsibilities differ in scope and focus.

What are some common challenges Data Software Engineers face when working with large datasets?

Data Software Engineers often encounter challenges related to scalability, data quality, and system performance when handling large datasets. Ensuring that data pipelines can efficiently process high volumes of data without bottlenecks requires robust architecture and frequent optimization. Additionally, maintaining data integrity and consistency across distributed systems can be complex, especially when integrating data from multiple sources. Collaboration with data scientists, analysts, and DevOps teams is key to overcoming these challenges and building reliable, efficient data solutions.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.
What are popular job titles related to Data Software Engineer jobs in Connecticut? For Data Software Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Software Engineer jobs in Connecticut look for? The top searched job categories for Data Software Engineer jobs in Connecticut are:
What are popular job titles related to Data Software Engineer jobs in CT? For Data Software Engineer jobs in CT, the most frequently searched job titles are:
Infographic showing various Data Software Engineer job openings in Connecticut as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,397 per year, or $59.3 per hour.

Data Engineer I (AWS, Databricks)

The Travelers Indemnity Company

Hartford, CT • On-site

$109K - $180K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 19 days ago


Job 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.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.
  • Strong data engineering fundamentals and principles, with hands-on experience designing, building, and optimizing data pipelines.
  • Proficient with cloud platforms and modern data technologies, including:
    • AWS: Lambdas, EventBridge, Step Functions, DynamoDB, Athena
    • Databricks: Notebooks, Jobs, Unity Catalog, Genie, and concepts such as Autoloader, streaming, and near real-time data processing
  • Experience working with AI tools and concepts (e.g., Claude) and familiarity with developer productivity tools such as GitHub Copilot.
  • Comfortable using key engineering and DevOps tools, including Jira, GitHub, Snyk, ServiceNow, and Autosys.
  • Proficient programming skills and solid understanding of software engineering practices, including testing, CI/CD, and version control.
  • Ability to deliver work at a steady, predictable pace, break down complex tasks into small, incremental releases, and actively participate in trade-off and negotiation discussions.
  • Demonstrated domain expertise with the ability to quickly understand technical concepts and develop deep knowledge of the systems you support.
  • Proven problem-solving and debugging skills, including the ability to identify root causes in unfamiliar codebases and recognize and resolve recurring issues.
  • Strong verbal and written communication skills, with the ability to effectively collaborate with team members, partners, and stakeholders.
  • Intermediate leadership skills with a track record of self-motivation, ownership, and a commitment to continuous learning and personal growth.
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/.