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

... 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 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

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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

Senior Data & AI Engineer

Hartford, CT · On-site

$139K - $230K/yr

... insurers in the industry for over 170 years. Join us to discover a culture that is rooted in ... Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to ...

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Insurance Data Engineer information

See Springfield, MA salary details

$44.3K

$129.3K

$176.9K

How much do insurance data engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for insurance data engineer in Springfield, MA is $129,263.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $137,000.00 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 are popular job titles related to Insurance Data Engineer jobs in Springfield, MA? For Insurance Data Engineer jobs in Springfield, MA, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Springfield, MA look for? The top searched job categories for Insurance Data Engineer jobs in Springfield, MA are:
What cities near Springfield, MA are hiring for Insurance Data Engineer jobs? Cities near Springfield, MA with the most Insurance Data Engineer job openings:
Sr. Data Engineer (Hartford, CT)

$147K - $170K/yr

Full-time

Re-posted 4 days ago


The Hartford rating

8.8

Company rating: 8.8 out of 10

Based on 111 frontline employees who took The Breakroom Quiz

54th of 281 rated insurance


Job description

Sr Data Engineer - GE07BE
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.
Hartford Fire Insurance Company in Hartford, CT has the following opening for a Sr. Data Engineer.
Summary of Duties: Design and develop high quality, scalable software modules for next generation analytics solution suite. Prototype high impact innovations, catering to changing business needs, by leveraging new technologies (AWS - Cloud and Big Data). Possess functional knowledge and skills reflective of a competent practitioner with the ability to deliver on work of highest technical complexity. Consult with functional management in the analysis of short and long-range business requirements and recommends innovations which anticipate the future impact of changing business needs. Work closely with client management to identify and specify the complex business requirements and processes for diverse development platforms, computing environments (e.g., Cloud, host based, distributed systems, client server), software, hardware, technologies and tools. Provide highly technical consulting and leadership in identifying and implementing new uses of information technologies that assist the functional business units in meeting their strategic objectives. Review the disaster recovery plan to ensure that new systems promote uninterrupted systems operation. Coordinate activities with cross-functional IT unit stakeholders (e.g., database, operations, telecommunications, technical support, etc.). Research and evaluate alternative solutions and recommends the most efficient and cost-effective solution for the systems design. Formulate logical statements of business problems and devises, tests and implements efficient, cost-effective application program solutions (e.g., codes and/or reuses existing code through the use of program development software alternatives and/or integrates purchased solutions). Prepares charts, tables and diagrams to assist in analyzing problems, utilizing various business, scientific, engineering and mathematical techniques. Analyze existing system and programming logic to provide more efficient machine operations or to identify difficulties, and revises the logic and procedures involved as necessary. Act as primary technical point of contact for interaction with other cross-functional units and teams. Assign personnel to the various projects or application components and direct their activities. Review, evaluate, and prepare periodic activity and progress reports for the team.
Qualifications: Position requires a Bachelor's degree in Computer Science, Computer Information Systems, Information Technology, Electrical Engineering, Electronics Engineering, or a related field and 5 years of experience in a related occupation. In addition, position requires 5 years of experience in the following: ETL; Data Integration; Informatica; and IDMC; AND 2 years of experience in the following: Cloud (AWS) Technologies; Oracle, SQL, Python, Pyspark, Unix/Linux Shell scripting, Autosys scheduling tool, version control tools; Data warehouse applications; Data modeling, Big Data Distributed Processing (HDFS, Hive, Spark), AWS, Data Analytical languages; and Programming in Python.
Salary Range: $147,430.00 to $170,040
Contact: Apply online at https://thehartford.wd5.myworkdayjobs.com/Careers_Restricted/job/Hartford-CT/Sr-Data-Engineer--Hartford--CT-_R2625831
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:
$147,430.00 to $170,040
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

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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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