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Insurance Data Engineer Jobs in Vermont (NOW HIRING)

HEICO

Engineer

Essex Junction, VT · On-site

$75K - $90K/yr

... insurance, 401(k) match up to 6%, and Vacation, sick days, flexible work. Overview of the Position ... Research, collect data, and work with design teams to evaluate, select, adapt, and modify ...

Heico

Engineer

Essex Junction, VT

$75K - $90K/yr

... insurance, 401(k) match up to 6%, and Vacation, sick days, flexible work. Overview of the Position ... Research, collect data, and work with design teams to evaluate, select, adapt, and modify ...

H2O Innovation Inc.

Process Engineer

Burlington, VT · On-site

$75K - $100K/yr

Group Insurance plan including dental, vision & telemedicine; * 401K plan with employer ... Maintain contact with current installations to obtain performance, operation and maintenance data ...

H2O Innovation Inc.

Process Engineer

Burlington, VT · On-site

$75K - $100K/yr

Group Insurance plan including dental, vision & telemedicine; * 401K plan with employer ... Maintain contact with current installations to obtain performance, operation and maintenance data ...

ABB

Senior Project Engineer

Burlington, VT · Remote

$97K - $127K/yr

Leading and supporting commissioning of data centers, paralleling switchgear (PSG), and power ... Vision benefit * Company paid life insurance (2X base pay) * Company paid AD&D (1X base pay)

HEICO

Engineer

Essex Junction, VT · On-site

$75K - $90K/yr

... insurance, 401(k) match up to 6%, and Vacation, sick days, flexible work. Overview of the Position ... Research, collect data, and work with design teams to evaluate, select, adapt, and modify ...

GS Precision Inc

Product Quality Engineer

Brattleboro, VT · On-site

$70K - $110K/yr

Company Paid Life and AD&D Insurance * Company Paid Short-Term Disability * 401 (k) Matching ... Provide recommendations for specification(s) revision as determined by data * Improve and engage in ...

Verdantas

Senior Water/Wastewater Engineer

Sharon, VT · On-site

$120K/yr

We partner with clients to deliver smart, data-driven solutions to complex environmental and ... Life and AD&D Insurance * Short-Term and Long-Term Disability * 401(k) with Company Match * Paid ...

Verdantas

Senior Water/Wastewater Engineer

Newport, VT · On-site

$120K/yr

We partner with clients to deliver smart, data-driven solutions to complex environmental and ... Life and AD&D Insurance * Short-Term and Long-Term Disability * 401(k) with Company Match * Paid ...

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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
Solutions Engineer, Remote

Solutions Engineer, Remote

Aperia Technologies

Barre, VT • On-site

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

Aperia is unlocking a new era of efficiency and sustainability for commercial vehicle fleets, by developing innovative hardware and data analytics solutions. Inventors of the award- winning and disruptive Halotm Automatic Tire Inflator, and the cloud delivered Halo Connect tire analytics platform. Aperia saves fleets thousands of hours of down-time every week, reduces the carbon footprint and environmental impact of the freight industry. Join us as we expand our product offering and take the next steps on our journey toward bringing the "backbone of our economy" into the automation age.

We are unable to sponsor H-1B, F-1 OPT, and STEM OPT extension at this time.

Your Role

We are seeking a motivated and technically proficient Solutions Engineer to serve as a trusted advisor to customers throughout the sales process and beyond. In this role, you will collaborate with Sales and Customer Experience teams to analyze and present data, optimize customer engagements, and drive successful outcomes. This position is key to delivering a seamless, cohesive experience across pre-sales and post-sales interactions.

Your Responsibilities

Customer Engagement:

  • Serve as a subject matter expert on Aperia’s products, pilot data, and algorithm behavior to effectively communicate value to potential customers.
  • Own the discovery and qualification process for Aperia’s technical compatibility with customer environments.
  • Partner with Sales Directors to identify customer business goals, needs, and pain points, and craft solutions that address them.
  • Develop and deliver engaging presentations and demonstrations for technical and non-technical audiences, virtually and in person.

Technical Expertise:

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  • Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical success.
  • Build advanced analytical models using SQL, Python, and Excel to demonstrate product value.
  • Monitor industry trends, competitor offerings, and ecosystem developments to maintain deep technical expertise.

Cross-Functional Collaboration:

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  • Act as the voice of the customer by representing feedback to Product and Engineering teams.
  • Optimize the technical sales pilot process by developing tools, analyses, and artifacts that streamline workflows.
  • Collaborate with Sales, Product, and Engineering teams to refine strategies and improve customer outcomes.

Skills/Qualifications

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  • B.S or B.A degree in Engineering, Business administration or related field required.
  • 3+ years of experience in a solutions engineering, sales engineering, or similar role.
  • Proficiency in SQL and Python is required; experience with additional programming languages or tools is a plus.
  • Strong analytical skills with expertise in Excel and statistical analysis.
  • Excellent communication and presentation skills, with the ability to engage both technical and non-technical audiences.
  • Solution-oriented mindset, motivated by creating practical solutions to complex problems.
  • Experience and familiarity with the sales/pre-sales processes used in either hardware or software sales.
  • Polished presenter, comfortable leading presentations and demos of our portal and pilot data to large groups, both technical and non-technical. Virtually and in person.
  • Proven ability to thrive in fast-paced environments, meet deadlines, and maintain commitments to customers and coworkers.

Pay Range: $120,000 - $140,000

*Base salary only. Salary is dependent on multiple factors including, but not limited to, experience and location.

**Additional compensation may include equity, bonuses, stipends, medical, dental, vision, 401(k), and long-term disability insurance.

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