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Data Developer Jobs in Connecticut (NOW HIRING)

Chubb

Sr. Data Engineer

Simsbury, CT

$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 ...

The Hartford

Data Engineer

Hartford, CT · 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 ...

Pwc

Data Engineer - Senior Manager

Hartford, CT · 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 ...

Whiz Global LLC

Data Warehouse Engineer

Salem, CT · On-site

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 ...

New

Pwc

Data Engineer - Senior Manager

Stamford, CT · 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 ...

The Subway

Sr Data Engineer

Shelton, CT · On-site

$119K - $149K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... CI/CD & DevOps: Git, Databricks Asset Bundles or Snowflake CLI/Schemachange, automated testing, or ...

Pwc

Data Engineer - Senior Associate

Hartford, CT · 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 ...

Pwc

Data Engineer - Senior Associate

Stamford, CT · 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 ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT

$115K - $138K/yr

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data ...

Sarian, Inc.

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Data Engineer Location: Hartford, CT Onsite position Fulltime position JD: Required Skills & Experience: • Strong expertise in Oracle SQL & PL/SQL (writing complex queries, stored procedures ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer

Bloomfield, CT · On-site

$114K - $137K/yr

... developer for major systems and their subsystems utilizing a thorough understanding of available technology, tools and existing designs for the Digital Engineering team. Provides comprehensive ...

Pwc

Data Engineer - Manager

Stamford, CT

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

Pwc

Data Engineer - Manager

Hartford, CT

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

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All JobsData Developer JobsData Developer Jobs in Connecticut

Data Developer information

See Connecticut salary details

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How much do data developer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data developer in Connecticut is $50.53, according to ZipRecruiter salary data. Most workers in this role earn between $41.39 and $57.16 per hour, depending on experience, location, and employer.

How does a Data Developer typically collaborate with data analysts and data engineers within a project team?

Data Developers frequently work alongside data analysts and data engineers to design, build, and maintain robust data pipelines and databases. While data engineers often focus on the infrastructure and large-scale data architecture, Data Developers bridge the gap by implementing data models, optimizing queries, and ensuring data is accessible and reliable for analysis. Regular collaboration includes aligning on data requirements, troubleshooting data flow issues, and refining processes to support business intelligence and reporting needs. This teamwork ensures that data assets are accurate, up-to-date, and tailored for various stakeholder needs.

What are Data Developers?

Data Developers are professionals who design, build, and maintain systems that collect, store, process, and analyze large volumes of data. They work with databases, data pipelines, and various programming languages to ensure that an organization’s data is accessible, reliable, and efficiently managed. Data Developers often collaborate with data analysts, data scientists, and other IT staff to support business intelligence and data-driven decision-making. Their responsibilities may include writing complex SQL queries, developing ETL (extract, transform, load) processes, and optimizing database performance.

How much does a data developer make?

The average salary for a data developer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled data developers proficient in programming languages like Python or SQL and familiar with data management tools tend to earn higher salaries.

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

To thrive as a Data Developer, you need strong programming skills (such as SQL, Python, or Java), a deep understanding of database design, and experience with data modeling, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL Server, Oracle, ETL platforms, and cloud data services, as well as certifications in database technologies, are commonly required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with stakeholders and translating data needs into solutions. These competencies ensure efficient data management, support business intelligence efforts, and enable the delivery of reliable, scalable data systems.

What jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. Certain roles in finance, technology, and law, especially with bonuses, stock options, or profit sharing, also reach this level. These positions typically require advanced skills, extensive experience, and often involve leadership or highly specialized expertise.

What is the difference between Data Developer vs Data Analyst?

AspectData DeveloperData Analyst
Primary RoleBuilds and maintains data pipelines, databases, and data infrastructureAnalyzes data to generate reports, insights, and support decision-making
Skills & CertificationsSQL, ETL tools, programming (Python, Java), database managementSQL, Excel, data visualization tools, statistical analysis
Work EnvironmentData engineering teams, IT departments, software development environmentsBusiness units, analytics teams, management
Industry UsageTechnology, finance, healthcare, any data-driven industryMarketing, finance, retail, business intelligence

While Data Developers focus on creating and maintaining the data infrastructure, Data Analysts interpret data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What does a data developer do?

A data developer designs, builds, and maintains data systems and pipelines to collect, store, and process large volumes of data. They often work with programming languages like SQL and Python, and use tools such as data warehouses and ETL (Extract, Transform, Load) processes to ensure data is accessible and reliable for analysis and decision-making.

Is 40 too late for data science?

A data developer or data scientist can start a career at age 40, as skills in programming, statistics, and data analysis are learnable at any age. Many professionals successfully transition into data roles later in life by gaining relevant certifications and experience. Age is less important than skills, continuous learning, and practical experience in the field.
What are popular job titles related to Data Developer jobs in Connecticut? For Data Developer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Developer jobs in Connecticut look for? The top searched job categories for Data Developer jobs in Connecticut are:
What are popular job titles related to Data Developer jobs in CT? For Data Developer jobs in CT, the most frequently searched job titles are:
Data Developer jobs near you
Infographic showing various Data Developer 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 $105,106 per year, or $50.5 per hour.
Sr. Data Engineer

Sr. Data Engineer

Chubb

Simsbury, CT

$116K - $139K/yr

Full-time

Re-posted 21 days ago

Chubb rating

8.2

Company rating: 8.2 out of 10

Based on 66 frontline employees who took The Breakroom Quiz

122nd of 281 rated insurance

Job description

Position Overview: 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, with hands-on experience in Python, Databricks, and/or IICS (Informatica) or similar. The ideal candidate will also have proven experience leading teams of data analysts & ETL developers for solution delivery. This role requires a collaborative mindset, a passion for data engineering best practices, and the ability to deliver scalable and efficient data solutions that align with business objectives. 

Key Responsibilities:

  • Data Pipeline Development: Design, develop, and implement data pipelines and ETL processes using Python and Databricks and/or IICS (Informatica).

  • Collaboration: Work closely with data scientists and analysts to understand data requirements and deliver solutions that meet business needs.

  • Optimization: Optimize existing data workflows for performance, scalability, and reliability.

  • Monitoring and Troubleshooting: Monitor and troubleshoot data pipeline issues, ensuring timely resolution to maintain data integrity and availability.

  • Documentation: Document data processes, workflows, and technical specifications to ensure clarity and maintainability.

  • Continuous Learning: Stay updated with the latest industry trends and technologies related to data engineering, cloud services, and data integration.

Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally.

At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.

  • Technical Expertise:

    • Proven experience in Python programming and data manipulation.

    • Knowledge of Databricks and its ecosystem (e.g., Spark, Delta Lake).

    • Experience with IICS (Informatica) or similar cloud-based data integration tools.

    • Familiarity with SQL and database management systems (e.g., SQL Server, Snowflake).

    • Understanding of data warehousing concepts and best practices.

    • Experience with cloud platforms (e.g., AWS, Azure, GCP).

    • Leadership & Collaboration
      • Ability to collaborate with business to determine technical solution requirements 
      • Experience leading dev teams using agile practices

  • Problem-Solving and Optimization:

    • Mid-level problem-solving skills with a focus on addressing performance issues in data workflows.

    • Experience implementing optimization techniques and evaluating performance improvements using measurable metrics.

  • Best Practices:

    • Understanding of data engineering best practices, including data quality, reliability, and maintainability.

    • Knowledge of robust monitoring practices and data governance principles.

  • Soft Skills:

    • Strong communication and collaboration skills.

    • Familiarity with Agile development methodologies.

Preferred Skills:

  • Hands-on experience with data storage solutions such as data lakes and data warehouses.

  • Knowledge of data orchestration frameworks and their practical application in past projects.

  • Insights into common pitfalls in the data lifecycle and strategies to avoid them.

What Chubb employees say

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Hours and flexibility

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About Chubb

Sourced by ZipRecruiter

Chubb is the world's largest publicly traded property and casualty insurer. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. We are a unique global organization with a culture of individuals passionately committed to our respective crafts. With underwriting at our core, each of us contributes to providing the best insurance coverage and service to our clients. Our highly collaborative, inclusive nature helps us drive better business outcomes through diversity of background, experiences, insights and values.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Warren, NJ, US

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