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

Amicis Global

Data Engineer

Hartford, CT · On-site

$70 - $80/hr

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 products. Drive end-to-end ...

Chubb

Sr. Data Engineer

Simsbury, CT

$116.20K - $139.50K/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 ...

The Whiteside Agency

Senior Data Engineer

Hartford, CT · On-site

$139.40K - $230K/yr

Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to ... Experience with insurance domain data (policy, claims, underwriting, billing) * Knowledge of data ...

The Hartford

Lead Data Engineer - Generative AI

Hartford, CT · Hybrid

$115.50K - $138.70K/yr

Sr Staff Data Engineer - GE07DE 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 ...

The Whiteside Agency

Senior Data Engineer

Hartford, CT · On-site

$139.40K - $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 ...

Kemper

Senior Data Engineer

Hartford, CT

$106.90K - $145.30K/yr

... specialized insurers. Our success is a direct reflection of the talented and diverse people who ... Provide technical leadership to data engineers, setting standards for solution design, coding ...

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

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 May 30, 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.

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.

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.

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 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.

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:
Insurance Data Engineer jobs near you

Data Engineer

Amicis Global

Hartford, CT • On-site

$70 - $80/hr

Contractor

Posted 29 days ago

Job description

Title: Data Engineer
Location: Hartford Insurance Group, CT, 06155
Duration: 6+ Months
Pay: $70-$80/hr on W2 
 
Job Description: Key Responsibilities
Serve as subject matter expert and/or technical lead for large-scale data products.
Drive end-to-end solution delivery across multiple platforms and technologies, leveraging ELT solutions to acquire, integrate, and operationalize data.
Partner with architects and stakeholders to define and implement pipeline and data product architecture, ensuring integrity and scalability.
Communicate risks and trade-offs of technology solutions to senior leaders, translating technical concepts for business audiences.
Build and enhance data pipelines using cloud-based architectures.
Design simplified data models for complex business problems.
Champion Data Engineering best practices across teams, implementing leading big data methodologies (AWS, Hadoop/EMR, Spark, Snowflake, Talend, Informatica) in hybrid cloud/on-prem environments.
Operate independently while fostering a collaborative, transformation-focused mindset.
Work effectively in a lean, fast-paced organization, leveraging Scaled Agile principles.
Promote code quality management, FinOps principles, automated testing, and environment management practices to deliver incremental customer value.
 
Qualifications:
5+ years of data engineering experience.
2+ years developing and operating production workloads in cloud infrastructure.
Bachelor's degree in Computer Science, Data Science, Information Technology, or related field.
Hands-on experience with Snowflake (including SnowSQL, Snowpipe).
Expert-level skills in AWS services, Snowflake, Python, and Spark (certifications are a plus).
Proficiency in ETL tools such as Talend and Informatica.
Strong knowledge of Data Warehousing (modeling, mapping, batch, and real-time pipelines).
Experience with DataOps tools (GitHub, Jenkins, UDeploy).
Familiarity with P&C Commercial Lines business.
 
Knowledge of legacy tech stack: Oracle Database, PL/SQL, Autosys, Hadoop, stored procedures, and Shell scripting.
Experience using Agile tools like Rally.
Excellent written and verbal communication skills to interact effectively with technical and non-technical stakeholders
Staff Data Engineer
Hands-on experience in Snowflake
Primary skill set is Snowflake
Hybrid position - 3 days in the office in Hartford or Charlotte
Must be prepared for an in-person interview 
Data mapping and data modeling
Coordinate with stakeholders and understand how the new model in Snowflake will look
Putting together a new agile team of 5 to 6 people
Red flag on resume: if they have all the technologies, primarily looking for someone able to explain what they worked on and what challenges they faced
Insurance experience is an added advantage; I would choose someone with P&C experience over someone without
Coding assessment in interview: SQL, Snowflake