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Data Software Engineer Jobs in Connecticut (NOW HIRING)

The Hartford

Data Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

We use the latest data technologies, software engineering practices, MLOPs, Agile delivery frameworks, and are passionate about building well-architected and innovative solutions that drive business ...

CVS Health

Principal Data Engineer

Hartford, CT · On-site +1

$147K - $288K/yr

Principal Data Engineer to build, develop, and maintain cloud-native software web applications and systems in support of CVS business needs and end customers. Duties include: assist with cloud-native ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer

Bloomfield, CT · On-site

$114K - $137K/yr

Job Role: Data Engineering Full Stack Location: Bloomfield, CT (remote as of now but have to ... software, hardware, technologies and tools, etc.). Work closely with client and IT management and ...

CVS Health

Principal Data Engineer

Hartford, CT · On-site +1

$147K - $288K/yr

Principal Data Engineer to build, develop, and maintain cloud-native software web applications and systems in support of CVS business needs and end customers. Duties include: assist with cloud-native ...

Yuma Holdings LLC

Software Engineer

Stamford, CT

About the Role We're looking for a Software Engineer to join our engineering team at Yuma. You'll ... Collaborate with cross-functional teams - including data, product, and infrastructure - to deliver ...

Applied Aerospace & Defense

Data Engineer

Newington, CT

$114K - $137K/yr

In alignment with current industry?s best practices, this role integrates advanced data engineering, software development, and machine learning operations (MLOps) to deliver secure, scalable, and ...

PCX Aerosystems

Data Engineer

Newington, CT · On-site

$114K - $136K/yr

The Data Engineer is a strategic technical role responsible for architecting, building, and ... Software and Automation Development * Develop automation solutions using scripting technologies ...

Berkley

Data Engineer

Greenwich, CT

$128K - $154K/yr

Provide support and guidance to others who are at earlier stages in their data engineering or AI journey. * 4-7 years of relevant data engineering, software engineering, or technical experience. A ...

Applied Aerospace & Defense

Data Engineer

Newington, CT

$114K - $136K/yr

In alignment with current industrys best practices, this role integrates advanced data engineering, software development, and machine learning operations (MLOps) to deliver secure, scalable, and high ...

Berkley

Data Engineer

Greenwich, CT

$128K - $154K/yr

Qualifications * 4-7 years of relevant data engineering, software engineering, or technical experience. A Master's degree in Data Engineering or Computer Science. * Familiarity with cloud data ...

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Qualifications * 4-7 years of relevant data engineering, software engineering, or technical experience. A Master's degree in Data Engineering or Computer Science. * Familiarity with cloud data ...

krg technology inc

Software Engineer

Westport, CT · On-site

5+ years of strong experience as a software engineer with operations focus. Adept in modern ... Solid understanding of fundamental data technologies such as data integration, business ...

The Walt Disney Company

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 ...

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All JobsData Software Engineer JobsData Software Engineer Jobs in Connecticut

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 Jul 7, 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.
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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:
Data Software Engineer jobs near you
Data Engineer

Data Engineer

The Hartford

Hartford, CT • Hybrid

$100K - $151K/yr

Full-time

Posted 21 days ago

The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

48th of 277 rated insurance

Job description

Data Engineer - GE08AE

We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.

The Hartford is seeking a Data Engineer within the Actuarial Strategic Modeling(ASM) team to design, develop, and implement modern and sustainable data assets to fuel machine learning and artificial intelligence solutions across a wide range of strategic initiatives.

As a Data Engineer, you will participate in the entire software development lifecycle process in support of continuous data delivery, while growing your knowledge of emerging technologies. We use the latest data technologies, software engineering practices, MLOPs, Agile delivery frameworks, and are passionate about building well-architected and innovative solutions that drive business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, and visibility as we focus on continuous business data delivery.

Responsibilities:

  • Participate in developing high quality, scalable software modules for next generation analytics solution suite
  • Engage in activities with cross-functional IT unit stakeholders (e.g., database, operations, technical support, etc.)
  • Formulates logical statements of business problems and devises, tests and implements efficient, cost-effective application program solutions
  • Identify and validate internal and external data sources for availability and quality. Work with SMEs to describe and understand data lineage and suitability for a use case.
  • Create data assets and build data pipelines that align to modern software development principles for further analytical consumption. Perform data analysis to ensure quality of data assets.
  • Perform preliminary exploratory analysis to evaluate nulls, duplicates and other issues with data sources.
  • Assist in developing code that enables real-time modeling solutions to be ingested into front-end systems
  • Produce code artifacts and documentation using GitHub for reproducible results and hand-off to other data science teams.

Qualifications:

  • 2+ years of relevant experiencerecommended
  • Bachelor's degree in Computer Science, Engineering, IT, Management Information Systems, or a related discipline
  • Experience in R (preferred), Python, and SQL
  • Experience in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON
  • Experience in ETL concerning metadata management and data validation
  • Experience in Linux and Git
  • Experience in Automation tools (Autosys, Cron, Airflow, etc.)
  • Exposure to AWS Services (i.e. S3, EMR, etc) a plus
  • Able to communicate effectivelywith both technical and non-technical teams
  • Able to translate complex technical topics into business solutions and strategies

This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday). Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$100,960 - $151,440

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

About Us|Our Culture|What It's Like to Work Here|Perks & Benefits

What The Hartford employees say

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Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Hartford logo

About Hartford

Sourced by ZipRecruiter

Hartford Financial Services Group, widely recognized as The Hartford, is a renowned company based in Hartford, CT, US. Established in 1810, it has evolved into an industry leader in the insurance and financial services sector, proudly serving more than one million businesses in the US. The Hartford is committed to offering a gamut of insurance products that include homeowners, automobile, and business insurance as well as employee benefits and mutual funds. The company’s core values revolve around customer-focused innovations, diversity and inclusion, and ethical dealings that have earned them a customer-centric reputation. This shapes their mission which revolves around aiding their clients to overcome unforeseen obstacles and enhancing their wealth over time. Among the company's noted accomplishments is being consistently listed among the World's Most Ethical Companies, a testament to their unwavering commitment towards responsible business practices.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Hartford, CT, US

Year founded

1810

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