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Data Programmer Jobs in Connecticut (NOW HIRING)

Data Engineer

Old Greenwich, CT · On-site

$121.30K - $145.70K/yr

Data Engineer 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 ...

Data Engineer

Greenwich, CT

$128.60K - $154.40K/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

$128.60K - $154.40K/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 ...

Data Engineer

Greenwich, CT · On-site

$128.60K - $154.40K/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

Ridgefield, CT · Hybrid

$114K - $136.90K/yr

Data Engineer Location: Ridgefield, Connecticut, United States Work Arrangement: Flexible work-from-home days (onsite 2-3x per week) Openings: 2 Step into the future with our Enterprise Data, AI ...

Data Engineer

Greenwich, CT · On-site

$128.60K - $154.40K/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 · On-site

$128.60K - $154.40K/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 ...

GCP Data Engineer

Hartford, CT · On-site

$115.50K - $138.70K/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 ...

GCP Data Engineer

Hartford, CT · On-site

$115.50K - $138.70K/yr

GCP Data Engineer Hartford, Connecticut, United States About the Job Role - GCP Data Engineer (Visualization experience) As a Data Engineer you will work on the process of transforming raw data to a ...

Lead Data Engineer

Old Greenwich, CT · On-site

$121.30K - $145.70K/yr

Lead Data Engineer Greenwich, CT We are a fully funded, pre-product, innovative, early stage Fintech company building a cryptocurrency exchange tailored to institutional investors and professional ...

Data Engineer

Hartford, CT · 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 USA

Hartford, CT · Hybrid

$115.50K - $138.70K/yr

Data Engineer Role: Data Engineer Required legal status: Green Card, Green Card-EAD, US Citizen Location: Charlotte, NC (Hybrid work model) Job involves: * Extract, Transform, Load (ETL) operations

Data Engineer

Ridgefield, CT · Hybrid

$114K - $136.90K/yr

Data Engineer Location: Ridgefield, CT 2-3 days a week on site - Hybrid - Ridgefield, CT Please review for all candidate submissions: Relocation Offered: Considered Overview We are looking for a ...

Data Engineer

Stamford, CT · On-site

$122.10K - $146.60K/yr

Big Data Platform Engineer Big Data Platform Experience -- Minimum 5 years Cosmos (MapReducer), Azure data stack (HDI, ADLS Gen2), Spark/Scala. SQL + High-Level Programming Language -- Minimum 5 ...

GenAI Data Engineer

Hartford, CT · Remote

$117.20K - $140.70K/yr

GenAI Data Engineer Company: Tiger Analytics Inc. Location: Hartford, CT Remote: Remote Salary: $117.20K - $140.70K/yr (Estimated pay) Type: Full-time Posted: 8 hours ago Tiger Analytics is seeking ...

Data Engineer

Windsor, CT · Remote

$60/hr

Job #61677 * Salary: $50.00 - $63.00 Per Hour Data Engineer Target rate: $60 hr w2 Contract Length: 6 months Location: Remote EST coast hours however local candidates strongly encouraged

Data Engineer

Hartford, CT · On-site

$115.50K - $138.70K/yr

Data Engineer Hartford, CT, USA Position Overview We are seeking a skilled and motivated Data Engineer with strong skills in Python, SQL to support our initiatives in Insurance and Marketing ...

Data Engineer

Greenwich, CT

$128.60K - $154.40K/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.

Sr Databricks Data Engineer

Stamford, CT · On-site

$122.10K - $146.60K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

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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 May 28, 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 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.

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.

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.

Is it hard to get a job as a data analyst?

Securing a job as a data analyst can be competitive and typically requires strong skills in data analysis tools like Excel, SQL, and visualization software, along with relevant education or certifications. Building a solid portfolio and gaining experience through internships or projects can improve job prospects in this field.

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 popular job titles related to Data Programmer jobs in Connecticut? For Data Programmer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Programmer jobs in Connecticut look for? The top searched job categories for Data Programmer jobs in Connecticut 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 May 2026, with employment types broken down into 1% Locum Tenens, 62% Full Time, 23% Part Time, 1% Temporary, 12% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $55,685 per year, or $26.8 per hour.
Data Engineer

Data Engineer

W. R. Berkley

Old Greenwich, CT • On-site

$121.30K - $145.70K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


W.R. Berkley rating

8.2

Company rating: 8.2 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

124th of 258 rated insurance


Job description

Data Engineer

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