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Insurance Data Engineer Jobs in Holyoke, MA (NOW HIRING)

Chubb

Sr. Data Engineer

Simsbury, CT

$116K - $139K/yr

Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial ... Proven experience in Python programming and data manipulation. * Knowledge of Databricks and its ...

ISO New England, Inc.

Lead Data Engineer

Holyoke, MA · On-site

$150K - $170K/yr

Provide mentorship and technical leadership to the data engineering team, fostering continuous ... This role is also eligible for an annual performance bonus, comprehensive health insurance (medical ...

Chubb

Enterprise Information Architect

Simsbury, CT

... data engineers and architects on data governance best practices, ensuring data integrity, quality, security, and compliance with industry regulations. Chubb is a world leader in insurance. With ...

Chubb

Head of Data Engineering, PRS

Simsbury, CT · On-site

Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial ... Have previously held a data engineering leadership role with stakeholder management experience

New

Chubb

Head of Data Engineering, PRS

Simsbury, CT · On-site

$224K - $314K/yr

Demonstrated experience in the P&C Insurance industry, specifically focused on Legacy Technology Modernization and Data Modernization. * Have previously held a data engineering leadership role with ...

New

Cigna

Data Science Director - Remote

Bloomfield, CT · On-site +1

Provide technical leadership across machine learning, statistical modeling, feature engineering ... We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of ...

Chubb

AVP, Lead Data Scientist

Simsbury, CT

Lead teams of junior data scientists and engineers and provide guidance and mentorship directly and indirectly Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides ...

MassMutual

AI Engineer

Springfield, MA · Hybrid

$141K - $185K/yr

AI Engineer | Data Science & AI Engineering Full-Time Hybrid (3 days/per week in office) The ... and the life insurance industry at large. We partner closely with technology and business ...

New

ISO New England, Inc.

Data Scientist

Windsor, CT · On-site

$117K - $146K/yr

Work independently and collaboratively on analytical, programming, modelling, and data management ... This role is also eligible for an annual performance bonus, comprehensive health insurance (medical ...

USM

Data Architect

Windsor, CT · On-site

$55 - $60/hr

... Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint ... Prior experience with financial services, retirement, insurance, or medical records industry highly ...

Belcan

Project Data Analyst

Windsor, CT

$29 - $35/hr

One or more years of work experience in a customer facing role in an engineering or manufacturing ... Benefits offered MAY include health, dental, vision, and life insurance; 401(k); education ...

Actalent

Manufacturing Engineer

Stafford, CT · On-site

$23 - $55/hr

Using data-driven approaches and lean methodologies, the Manufacturing Engineer identifies ... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ...

Cigna

Data Science Advisor - Hybrid

Bloomfield, CT · On-site +1

Strong programming skills in Python, R, SQL, or similar tools. * Hands-on experience with machine ... We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of ...

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Showing results 1-20

All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Holyoke, MA

Insurance Data Engineer information

See Holyoke, MA salary details

$44K

$128.2K

$175.4K

How much do insurance data engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for insurance data engineer in Holyoke, MA is $128,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,200.00 and $135,900.00 per year, depending on experience, location, and employer.

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

What are Insurance Data Engineers?

Insurance Data Engineers are professionals who design, build, and maintain data systems that support the needs of insurance companies. They are responsible for collecting, organizing, and processing large amounts of data from various sources to enable accurate risk assessment, pricing, claims analysis, and regulatory compliance. Their work helps insurers make data-driven decisions, improve efficiency, and enhance customer experiences by leveraging modern data technologies.

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

To thrive as an Insurance Data Engineer, you need strong expertise in data modeling, ETL processes, and a solid understanding of insurance data structures, typically supported by a degree in computer science, data engineering, or a related field. Proficiency with SQL, Python, big data platforms (like Hadoop or Spark), and experience with cloud data solutions such as AWS or Azure are commonly required, along with certifications like AWS Certified Data Analytics or Google Cloud Data Engineer. Excellent problem-solving, communication, and collaboration skills help you bridge technical and business needs while ensuring data quality. These abilities are essential for building robust data pipelines and enabling accurate data-driven decision making within insurance organizations.

What is the difference between Insurance Data Engineer vs Data Analyst in the insurance industry?

AspectInsurance Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDevelops data pipelines, manages databases, works with big data toolsInterprets data, creates reports, visualizes insights
Employer & Industry UsageInsurance companies, tech firms in insuranceInsurance firms, consulting agencies, analytics companies

Insurance Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data to provide insights. Both roles are essential in the insurance industry but serve different functions in data management and analysis.

How does an Insurance Data Engineer typically collaborate with actuarial and underwriting teams?

Insurance Data Engineers work closely with actuarial and underwriting teams to ensure that the data infrastructure supports accurate risk assessment and pricing models. They often translate business requirements from these teams into technical specifications, build data pipelines to source and clean relevant data, and assist in implementing predictive analytics tools. Regular communication and collaboration are essential, as data engineers help bridge the gap between raw data and actionable insights for decision-making. This teamwork not only streamlines workflow but also enables continuous improvement of insurance products and customer experience.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
What cities near Holyoke, MA are hiring for Insurance Data Engineer jobs? Cities near Holyoke, MA with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you
Data Engineer

Data Engineer

Global Channel Management, Inc.

Windsor, CT • On-site

$55/hr

Contractor

Re-posted 10 days ago

Job description

Company Description

Global Channel Management is a technology company that specializes in various types of recruiting and staff augmentation.  Our account managers and recruiters have over a decade of experience in various verticals. GCM understands the challenges companies face when it comes to the skills and experience needed to fill the void of the day to day function.  Organizations need to reduce training and labor costs but at same requiring the best "talent " for the job. 


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 language is required.
  • Experience with Getting and Cleansing Data (ETL), including SalesForce and Big Data sources, is highly desirable.
  • Experience with IBM's SPSS product is desirable.  
  • Working knowledge of Linux based client server applications.
  • Aptitude for research, organization and structuring of complex problems.
  • Strong technical, analytical and problem-solving skills.
  • Strong technical writing skills and communication skills.
  • Prior experience with metadata management repositories is a plus.
  • Prior experience in the financial services, retirement or insurance industry is highly desirable
  • Strong team-oriented interpersonal and communication skills are required.

 Data Engineer duties:

  • Create Best Practices and enforce those practices, to optimize the Analytics Data Store data loading and consumption.    
  • Identify
    data needs for projects, architect, plan, and execute the extract,
    transform, and load (ETL) activities, using a combination of 3rd party
    and open source technologies.
Additional Information

$55/hr

CTH

Global Channel Management logo

About Global Channel Management

Sourced by ZipRecruiter

Global Channel Management is a technology company that specializes in various types of recruiting and staff augmentation. Global Channel Management understands the challenges companies face when it comes to the skills and experience needed to fill the void of the day to day function. Organizations need to reduce training and labor costs but at the same time requiring the best talent for the job. GCM's Ownership and Management teams have extensive Staffing, Recruiting, HR and Executive Leadership knowledge, Experience and Expertise. Our Understanding and Commitment to our Client's Satisfaction are key reasons GCM has been successful in establishing long term relationships.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Austell, GA, US

Year founded

2009

Social media

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