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Insurance Data Engineer Jobs in Minnesota (NOW HIRING)

Software Technology Inc

Data Modeler

Saint Paul, MN · On-site

$55.25 - $71.50/hr

Willingness to learn Preferred Qualifications: * 2+ years' experience as a Data Modeler, Data Engineer, or related field. * Previous experience or knowledge of Insurance/Financial Services industry.

Mortenson

Data Solutions Senior Engineer

Minneapolis, MN · Hybrid

$114K - $171K/yr

SUMMARY Mortenson is currently seeking a hands-on Senior Engineer - Data Solutions responsible for ... Employer paid Life, AD&D, and disability insurance * No-Cost mental health tool and concierge with ...

Icario

$119K - $143K/yr

We are seeking a Data Operations Engineer to join our Data Engineering team under our Technology ... Optional FSA, HSA, Pet insurance, Disability, Vision, and more * Equal paternity and maternity ...

Marvin

Data Platform Administrator

Eagan, MN

You'll work closely with Data Architects, Data Engineers, and Analytics teams to support analytics ... From day one, you will enjoy health insurance, paid holidays, paid parental leave, a 401(k) ...

Marvin

Data Platform Administrator

Eagan, MN

You'll work closely with Data Architects, Data Engineers, and Analytics teams to support analytics ... From day one, you will enjoy health insurance, paid holidays, paid parental leave, a 401(k) ...

Quanex

Manager, Data Governance

Owatonna, MN

This role partners closely with Engineering, IT, Manufacturing, Finance, and Operations ... Employer paid disability plans and life insurance * Paid Time Off & Holidays * Flexible Work ...

Quanex

Manager, Data Governance

Owatonna, MN

This role partners closely with Engineering, IT, Manufacturing, Finance, and Operations ... Employer paid disability plans and life insurance * Paid Time Off & Holidays * Flexible Work ...

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Minnesota

Insurance Data Engineer information

What health insurance covers Wegovy?

As an Insurance Data Engineer, understanding insurance coverage is essential. Coverage for Wegovy, a prescription weight management medication, varies by insurance plan and provider. Many health insurance plans, including some employer-sponsored plans and Medicare, may cover Wegovy if prescribed for approved indications, but prior authorization is often required.

What is the best cheapest insurance?

As an Insurance Data Engineer, evaluating the cheapest insurance involves analyzing data from multiple providers to identify affordable options that meet coverage needs. Comparing quotes, understanding policy details, and using data analysis tools can help find cost-effective insurance plans. However, the cheapest option may not always offer the best coverage, so balancing cost and coverage is essential.

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.

Does health insurance cover a pacemaker?

As an Insurance Data Engineer, you should know that health insurance typically covers pacemaker implantation and related procedures if deemed medically necessary, though coverage details vary by plan. Patients usually need prior authorization, and coverage may include device costs, surgery, and follow-up care. It is important to review specific policy terms and provider networks for accurate coverage information.

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.

Who does the cheapest insurance?

Insurance Data Engineers analyze data to help insurance companies identify cost-effective policies and pricing strategies. The cheapest insurance options typically depend on factors like coverage needs, customer profile, and provider discounts, rather than a specific role. Consumers should compare quotes from multiple providers to find the most affordable coverage.

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

Senior Data Engineer (AWS, Databricks, Python)

The Whiteside Agency

Saint Paul, MN • On-site

$139K - $230K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 6 days ago

Job description

Who Are We?

Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.

Job Category
Data Analytics, Data Science, TechnologyCompensation Overview

The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.

Salary Range$139,400.00 - $230,000.00
Target Openings
1
What Is the Opportunity?
Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape. You will bring a strong desire to guide team members' growth and develop data solutions that translate complex data into user-friendly terminology. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.What Will You Do?
  • Call Center Platform Modernization:Lead data engineering efforts supporting the migration to a new SaaS-based call center platform, building and maintaining pipelines that integrate the modernized upstream data source into the enterprise analytics ecosystem.
  • AI-Powered Transcript Analytics:Design and deploy data pipelines that process call transcript data at scale, leveraging Generative AI tools to perform sentiment analysis, topic modeling, entity extraction, and summarization to surface actionable insights across the Customer and Digital Analytics group.
  • Digital Analytics Data Integration:Build and maintain data pipelines that ingest and consolidate data from a diverse portfolio of customer and agent-facing digital applications, including public mobile and web platforms supporting policy rating, issuance, and maintenance.
  • User Experience Optimization:Enable analytics capabilities that help teams understand and improve the digital experience across Travelers' front-end applications by engineering reliable, scalable data solutions that capture user interaction and behavioral data.Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
  • Design complex data solutions, including incorporating new data sources and ensuring designs are consistent across projects and aligned to data strategies.
  • Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.
  • Incorporate core data management competencies including data governance, data security and data quality.
  • Act as a data and technology subject matter expert within lines of business to support delivery and educate end users on data products/analytic environment.
  • Perform data and system analysis, assessment and resolution for defects and incidents of high complexity and correct as appropriate.
  • Collaborate across team to support delivery and educate end users on complex data products/analytic environment.
  • Perform other duties as assigned.
What Will Our Ideal Candidate Have?
  • Bachelor's Degree in STEM related field or equivalent.
  • Ten years of related experience.
  • Advanced knowledge of tools, techniques, and manipulation including cloud platforms, programming languages, and modern software engineering practices.
  • Strong delivery skills including the ability to determine the software design strategy and methodology to be used for efforts, use automated tests, analysis, and informed feedback loops to ensure the quality and production readiness of work before release, monitor the health of work efforts and that of adjacent systems.
  • Demonstrated track record of domain expertise including the ability to develop business partnerships and influence priorities by identifying solutions that are aligned with current business objective and closely follow industry trends relevant to domain, understanding how to apply them, and sharing knowledge with coworkers.
  • Strong problem solver who utilizes data and proofs of concepts to find creative solutions to difficult problems involving a significant number of factors with broad implications, reflects on solutions, measures impact, and uses that information to ideate and optimize.
  • Excellent communication skills with the ability to develop business partnerships, describe technology concepts in ways the business can understand, document initiatives in a concise and clear manner, and empathetically and attentively listen to others thoughts and ideas.
  • Ability to lead and take action even when there is no clear owner, inspire and motivate others, and be effective at influencing team members.
What is a Must Have?
  • Bachelor's degree in computer science, related STEM field, or its equivalent in education and/or work experience.
  • 6 additional years of data engineering experience.
What Is in It for You?
  • Health Insurance:Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment.
  • Retirement:Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
  • Paid Time Off:Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
  • Wellness Program:The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
  • Volunteer Encouragement:We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.
Employment Practices

Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.

In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.

If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.

Travelers reserves the right to fill this position at a level above or below the level included in this posting.

To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.

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