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Data Programmer Jobs in Connecticut (NOW HIRING)

Data Engineer

Greenwich, CT ยท On-site

$128K - $154K/yr

Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problem-solving skills to design, build, and operate data platforms that support actuaries, analytics, modeling ...

Data Engineer

Greenwich, CT ยท On-site

$128K - $154K/yr

We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling, and AIenabled ...

Data Engineer

Greenwich, CT

$128K - $154K/yr

Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling ...

GCP Data Engineer

Hartford, CT ยท On-site

$115K - $138K/yr

GCP Data Engineer Location: Richardson,Texas or Hartford,CT, (Hybrid / Onsite as required) Employment Type: Contract (W2) Role Overview Our client is seeking an experienced GCP Data Engineer to ...

Data Engineer

Windsor, CT ยท On-site

$55/hr

Qualifications Data Engineer need 5 years experience Data Engineer requires: * BS in Mathematics, Economics, Computer Science, Information Management or Statistics. * Expert knowledge in SQL query ...

Data Engineer

Hartford, CT ยท On-site

$70 - $80/hr

Data Engineer Location: Hartford Insurance Group, CT, 06155 Duration: 6+ Months Pay: $70-$80/hr on W2 Key Responsibilities Serve as subject matter expert and/or technical lead for large-scale data ...

Data Engineer

Newington, CT ยท On-site

$114K - $137K/yr

Title Data Engineer About the Organization Applied Aerospace & Defense (Applied) is a premier provider of advanced design, engineering, and vertically integrated manufacturing solutions for leading ...

Data Engineer

Newington, CT ยท On-site

$114K - $137K/yr

The Data Engineer is a strategic technical role responsible for architecting, building, and sustaining the organization?s modern data ecosystem, including cloud-based data platforms, analytics ...

Data Engineer

Newington, CT ยท On-site

$114K - $136K/yr

The Data Engineer is a strategic technical role responsible for architecting, building, and sustaining the organization's modern data ecosystem, including cloud-based data platforms, analytics ...

Data Engineer

Newington, CT ยท On-site

$114K - $136K/yr

The Data Engineer is a strategic technical role responsible for architecting, building, and sustaining the organizations modern data ecosystem, including cloud-based data platforms, analytics ...

Data Engineer

Greenwich, CT ยท On-site

$128K - $154K/yr

As a rapidly growing firm of 140-150+ employees, they are seeking a full-time Data Engineer fully onsite out of their Greenwich, CT office. This is for someone really looking to take that next step.

Data Engineer

Milford, CT ยท On-site

$114K - $137K/yr

They are seeking a highly skilled Data Engineer to design, build, and maintain their data infrastructure, managing end-to-end data pipelines and collaborating with various teams to deliver reliable ...

Sr Data Engineer

Shelton, CT ยท On-site

$114K - $137K/yr

The Sr Data Engineer is a senior-level, hands-on technical leader responsible for designing, building, and evolving Subway's enterprise data platform on Snowflake or Databricks. This role serves as a ...

Data Engineer

Hartford, CT ยท Hybrid

$100K - $151K/yr

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 ...

Sr. Data Engineer

Simsbury, CT ยท On-site

$116K - $139K/yr

We are seeking a skilled and motivated Sr Data Engineer to join our team. The ideal candidate will have a strong background in designing, developing, and optimizing data pipelines and ETL processes ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Warehouse Engineer (Informatica) Location: Uncasville, CT (Hybrid) Duration: FTE Experience- 8-20 years The Data Warehouse Engineer is responsible for designing, developing, and maintaining ...

Data Engineer - Senior Manager

Stamford, CT ยท On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer - Senior Associate

Hartford, CT ยท On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

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Data Programmer information

See Connecticut salary details

$14

$26

$44

How much do data programmer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data programmer in Connecticut is $26.77, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $28.37 per hour, depending on experience, location, and employer.

What is the difference between Data Programmer vs Data Analyst?

AspectData ProgrammerData Analyst
Required CredentialsTypically a degree in computer science, programming, or related field; coding certificationsOften a degree in statistics, mathematics, or related field; data analysis certifications
Work EnvironmentPrimarily in software development or IT teams, focusing on coding and database managementIn business or research settings, focusing on interpreting data and generating reports
Employer & Industry UsageTech companies, software firms, data-centric organizationsFinance, marketing, healthcare, and other industries requiring data insights

While both roles involve working with data, Data Programmers focus on coding, database management, and software development, whereas Data Analysts interpret data to provide insights. Understanding these differences helps in choosing the right career path or job search focus.

What are Data Programmers?

Data Programmers are professionals who write, maintain, and optimize code related to data processing, analysis, and management. They often work with large datasets, using programming languages such as SQL, Python, or R to extract, transform, and load data for use in databases or analytics platforms. Data Programmers play a crucial role in ensuring data integrity, efficiency, and accessibility, supporting business intelligence and decision-making processes. They may also collaborate with data analysts, engineers, and other IT professionals to develop automated data workflows and solutions.

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

To thrive as a Data Programmer, you need strong programming skills in languages like SQL, Python, or R, along with a degree in computer science, information technology, or a related field. Familiarity with database management systems (such as MySQL, Oracle, or PostgreSQL), data visualization tools, and data integration platforms is typically required. Attention to detail, problem-solving ability, and effective communication are important soft skills for collaborating with teams and ensuring data accuracy. These skills and qualities are essential for efficiently managing, transforming, and delivering reliable data solutions that drive business decisions.

Is 40 too late for data science?

For a data programmer or data scientist, starting a career at 40 is feasible, as many skills such as programming, statistics, and data analysis can be learned at any age. Experience, continuous learning, and building a strong portfolio or certifications like those in Python, R, or SQL are important factors for success in the field.

What do data programmers do?

Data programmers develop, test, and maintain software that processes and manages large datasets. They often use programming languages like Python, SQL, or R and work with databases, data pipelines, and data analysis tools to ensure data is accurate and accessible for decision-making.

How do Data Programmers typically collaborate with data analysts and other stakeholders during a project?

Data Programmers play a crucial role in bridging the gap between raw data and actionable insights by working closely with data analysts, project managers, and sometimes even business stakeholders. They are responsible for building, maintaining, and optimizing data pipelines, ensuring data is accessible and reliable for analysis. Regular meetings, code reviews, and collaborative problem-solving sessions are common, allowing Data Programmers to understand project goals, clarify data requirements, and quickly address any issues that arise. This teamwork ensures that data workflows align with business needs and that the final outputs are both accurate and timely.

How to become a data programmer?

To become a data programmer, you typically need a bachelor's degree in computer science, data science, or a related field, along with strong programming skills in languages like Python, SQL, or R. Gaining experience with data manipulation, database management, and relevant tools such as Excel or data visualization software is also important. Certifications in data analysis or programming can enhance job prospects and demonstrate expertise.

Which IT job is the highest paid?

In the IT field, roles such as Chief Information Officer (CIO), IT Director, and Cloud Architect tend to be among the highest paid, often earning six-figure salaries or more. Specialized roles like Data Scientists, Cybersecurity Managers, and Software Development Managers also command high compensation, especially with advanced skills and certifications in cloud platforms, security, or data analysis.
What are popular job titles related to Data Programmer jobs in Connecticut? For Data Programmer jobs in Connecticut, the most frequently searched job titles are:
What cities in Connecticut are hiring for Data Programmer jobs? Cities in Connecticut with the most Data Programmer job openings:
Infographic showing various Data Programmer job openings in Connecticut as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $55,685 per year, or $26.8 per hour.
Data Engineer

Data Engineer

Berkley

Greenwich, CT โ€ข On-site

$128K - $154K/yr

Other

Re-posted 2 days ago


Job description

Company Details
"Our Company provides a state of predictability which allows brokers and agents to act with confidence."
Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States.
Along the way, we've been listed on the New York Stock Exchange, become a Fortune 500 Company, joined the S&P 500, and seen our gross written premiums exceed $10 billion.
Today the Berkley brand comprises more than 60+ businesses worldwide and is divided into two segments: Insurance and Reinsurance and Monoline Excess. Led by our Executive Chairman, founder and largest shareholder, William. R. Berkley and our President and Chief Executive Officer, W. Robert Berkley, Jr., W.R. Berkley Corporation is well-positioned to respond to opportunities for future growth.
The Company is an equal employment opportunity employer.
Responsibilities
We are seeking a Data Engineer with strong engineering, coding, and problem-solving skills to design, build, and operate data platforms that support actuaries, analytics, modeling, and AI-enabled workflows.
This role is suited to someone who is technically strong, comfortable working independently, and able to translate complexity into robust, well-designed systems that others can rely on.
The position emphasizes engineering rigor, high-quality code, system reliability, and sound judgment over one-off solutions or purely mechanical implementations.
We seek someone to challenge the status quo and find better ways to build and operate data systems. You will advocate for the thoughtful application of modern data engineering, data science, and AI approaches.
Responsibilities
  • Write production-quality code for data ingestion, transformation, orchestration, and monitoring.
  • Design, build, and maintain reliable, scalable data pipelines and data platforms, including batch or distributed processing workloads (e.g., Spark-based pipelines).
  • Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.
  • Apply AI-assisted engineering approaches, including LLM-enabled tools or agents, to improve data quality, observability, documentation, and productivity.
  • Identify data quality issues, bottlenecks, and failure modes; design systems that are resilient and observable.
  • Stay current with data engineering and AI platform advancements, evaluate new tools, and recommend adoption where appropriate.
  • Apply professional skepticism and alternate approaches to validate data correctness, lineage, and assumptions.
  • Communicate system design, trade-offs, and limitations clearly to technical and non-technical stakeholders.
  • Provide support and guidance to others who are at earlier stages in their data engineering or AI journey.

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 platforms and distributed processing frameworks (e.g., Databricks, Snowflake, Spark, or similar), and modern data engineering tooling.
  • Strong programming skills, particularly in Python and SQL (including experience with distributed or batch processing frameworks such as PySpark or equivalent), with an emphasis on maintainable, testable code.
  • Experience designing and operating data pipelines, data lakes/warehouses, or distributed data systems.
  • Experience applying AI, machine learning, or LLM-based tools to real engineering problems (e.g., building agents, calling model APIs, integrating AI into engineering workflows).
  • Experience working with large or complex data flows and creating defensible system designs and implementation plans.
  • Strong professional judgment, curiosity, and attention to detail.

Sponsorship Details
Sponsorship not Offered for this Role