ZipRecruiter

Log In

1

Insurance Data Engineer Jobs in Vermont (NOW HIRING)

Data Innovations

Support Engineer 1

Colchester, VT

$40K - $56K/yr

The Data Innovations Support Engineer 1 provides high quality, world class technical support to ... DI offers a competitive benefits package including medical, dental, vision, basic life insurance ...

Cisco

Software Engineer, Backend

Montpelier, VT · On-site

$152K - $219K/yr

Meet the Team The Time Series Data (TSD) team builds andoperatesthe time-series database ... insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and ...

wicor

Process Engineer

Saint Johnsbury, VT

$92K/yr

Process Engineer Starting Rate: $92,400.00 1 Gordon Mills Way, St Johnsbury, VT 05819, USA ... data analysis, reporting, and technical problem-solving tools What do we offer? * Medical insurance ...

Signify

Lead Development Engineer

Burlington, VT

$154K - $172K/yr

Data lakes, data warehouses; * Containers and container orchestration (e.g. Kubernetes ... Ability to purchase supplemental benefits that include supplemental life insurance, dependent life ...

Genlyte Group

Lead Development Engineer

Burlington, VT · On-site

$154K - $172K/yr

Data lakes, data warehouses; * Containers and container orchestration (e.g. Kubernetes ... Ability to purchase supplemental benefits that include supplemental life insurance, dependent life ...

next page

Showing results 1-20

All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Vermont

Insurance Data Engineer information

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 Vermont? For Insurance Data Engineer jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Vermont look for? The top searched job categories for Insurance Data Engineer jobs in Vermont are:
What cities in Vermont are hiring for Insurance Data Engineer jobs? Cities in Vermont with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you
Support Engineer 1

Support Engineer 1

Data Innovations

Colchester, VT

$40K - $56K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Job description

The Data Innovations Support Engineer 1 provides high quality, world class technical support to Data Innovations’ customers and Business Partners on our software products, services and general instrument interfacing. The Support Engineer 1 is expected to handle entry level customer calls and cases, escalating complex issues to senior staff or Management.

Responsibilities:

  • Develop working knowledge on Data Innovations’ products and how to troubleshoot the different areas of the products
  • Provide outstanding customer support to Data Innovations’ customers on our software products.
  • Promptly respond to customer requests for support and provide timely resolutions to issues raised.
  • Demonstrate excellent customer service skills while interacting with customers and partners.
  • Assist in developing and maintaining internal work instructions and other internal documentation.
  • Manage multiple customer issues simultaneously.
  • Drive excellence through quality closures of cases.
  • Thoroughly document customer interactions, efforts and resolutions for future use and review.
  • Efficiently escalate issues following department process for rapid resolution.
  • Provide input on ways to continuously improve the customer experience and department processes
  • Participate in rotating shifts to provide after-hours emergency support.
  • Professionally answer incoming calls and route them to appropriate resource(s).
  • Troubleshoot customer escalations regarding product issues and log the incident in to the tracking system.

Requirements

Knowledge, Skills, and Abilities:

  • Excellent customer service skills
  • Ability to communicate and understand technical language
  • Strong interpersonal and communications skills
  • Problem solving capability
  • Collaborative team player
  • Ability to prioritize, manage time effectively and multitask
  • Must comply with and pass initial background check and drug screening, as well as subsequent background checks, drug screenings and vaccine requirements as required by customer contracts
  • Must comply with company vaccination policy
  • Ability to follow DI’s policies and procedures

Physical Requirements/Working Conditions:

While performing duties of this job, the employee is predominately functioning in a sedentary light office position with high frequency of telephone communication, keyboarding, and computer.

Preferred skills and experience:

In addition to the above requirements, the ideal employee/candidate will have experience with the following:

  • LIS (laboratory information system) software exposure

 

Education and/or Experience

Bachelor’s degree or a combination of education and experience where comparable knowledge and skills can be obtained.

Supervision Level

This person reports to a Customer Service Manager.

Compensation and Benefits 
  • Salary Range: $40,000 - $56,600 (Compensation will vary based on skills and experience) 
  • Bonus Eligibility: Full-time, non-sales employees are eligible for DI’s annual bonus plan based on company and individual performance.
  • Benefits: DI offers a competitive benefits package including medical, dental, vision, basic life insurance, paid holidays, paid time off, and a 401(k) matching plan.  

Apply