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Insurance Data Engineer Jobs in Minnesota (NOW HIRING)

Collaborate with the data engineering team to gather the right data from the right systems, as well ... car insurance, pet insurance, flexible spending account, amongst many more. * We invest in your ...

Collaborate with the data engineering team to gather the right data from the right systems, as well ... car insurance, pet insurance, flexible spending account, amongst many more. * We invest in your ...

The Senior Data Modeler leads collaboration with data architects, data engineers, and business ... Experience in data modeling and design within the health insurance or health care industry is ...

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) ...

... Insurance, Disability Insurance. Looking for a seasoned front-end web developer to work on an ... The Data Visualization Developer will create interactive graphics packages for legal data, build ...

Data Platform Administrator

Eagan, MN · On-site

$92K - $121K/yr

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) ...

Cloud Data Architect

Minneapolis, MN · On-site

$170K - $175K/yr

... with LLMs, prompt engineering, and agent frameworks (LangChain, AutoGen, CrewAI). Deep ... banking and insurance clients. Architect and implement scalable solutions using Snowflake and ...

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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 cities in Minnesota are hiring for Insurance Data Engineer jobs? Cities in Minnesota with the most Insurance Data Engineer job openings:
Senior Data Modeler

Full-time

Medical, Retirement, PTO

Posted 22 days ago


Trane Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 286 frontline employees who took The Breakroom Quiz

110th of 521 rated manufacturers


Job description

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies, and through our businesses including TraneandThermo King, sustainability is not just how we do business-it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world.

Learn about our benefits designed for you to Thrive at work and at home.

We boldly go.

Where is the work:

Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.

What's in it for you:

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient environments, it's our responsibility to put the planet first. For us at Trane Technologies, sustainability is not just how we do business - it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world.


You'll shape the data foundation behind some of our most important initiatives, using modern tools and techniques to solve meaningful challenges. You'll collaborate with teams who value curiosity, partnership, and innovation, all while helping drive the next wave of digital transformation.

Thrive at work and at home:

  • Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs that include generous incentives - WE DARE TO CARE!
  • Family building benefits include fertility coverage and adoption/surrogacy assistance.
  • 401K match up to 6%, plus an additional 2% core contribution = up to 8% company contribution.
  • Paid time off, including in support of volunteer and parental leave needs.
  • Educational and training opportunities through company programs along with tuition assistance and student debt support.
  • Learn more about our benefits here!

Where is the work:

  • Learn more about our benefits here!

What you will do:

Enterprise Data Modeling & Architecture
  • Develop and maintain enterprise conceptual, logical, and physical data models for core business domains.
  • Lead data model design sessions, ensuring alignment with business goals and IT strategy.
  • Define modeling standards and reusable patterns across teams and projects.
  • Designs the data modeling transitions states of the ecosystem to help achieve the target state.
Data Governance & Standards
  • Establish and enforce enterprise data standards, naming conventions, and data definitions.
  • Drive metadata management practices to ensure consistent interpretation of data across systems.
  • Collaborate with governance stewards and domain owners to ensure metric definition alignment, data quality and integrity.
Domain Collaboration & Business Alignment
  • Act as the stable IT data modeling counterpart to business domain teams across key functions (e.g., finance, supply chain, operations, sales).
  • Translate business requirements into scalable and governed data models.
  • Work closely with business analysts and product owners to validate model semantics and usability.
Data Integration & System Design
  • Design and document data integration patterns across systems (ERP, CRM, data lake, warehouse, etc.).
  • Align data models to support MDM, data mesh, data fabric, and data product strategies.
  • Support data engineers in the implementation of physical data structures.
Tool Utilization & Modeling Platform Expertise
  • Use leading data modeling tools to manage data models and metadata.
  • Develop and maintain a central data model repository and version control process.
Performance Optimization
  • Partner with platform teams, data architects and data engineers to optimize data structures for performance, scalability, and maintainability.
  • Review query and ETL performance and propose model-based improvements.
Documentation & Communication
  • Document and communicate data models, data lineage, and relationships with clarity.
  • Serve as a key communicator of data architecture strategy and modeling outcomes.
Coaching & Mentorship
  • Mentor junior data modelers, data engineers, and analytics professionals in modeling standards and practices.
  • Review and approve models created by other teams to ensure enterprise alignment.
Continuous Improvement & Research
  • Stay abreast of industry trends, modeling techniques, and emerging technologies.
  • Continuously improve modeling practices and tools based on lessons learned and stakeholder feedback.

What you will bring:

Qualifications:
  • Bachelor's or master's degree in Computer Science, Information Technology, or related field.
  • Formal training and certification in data modeling, data architecture, or data management TOGAF, CDMP (DAMA) certification preferred.
Experience
  • 7+ years of progressive, hands-on experience in data modeling is required for Senior or Principal levels, which includes leadership responsibilities and direct contributions to enterprise data architecture.
  • Proven ability to design and govern conceptual, logical, and physical data models across multiple business domains.
  • Hands-on experience supporting and designing data structures in large-scale ERP, analytics, and cloud ecosystems such as Oracle, SAP, GCP, Snowflake, Azure, or AWS.
  • Deep expertise in relational and dimensional modeling, including star and snowflake schemas, data vault, and modern data platform design patterns.
  • Proficiency in leading data modeling tools (e.g., ER/Studio, ERwin, PowerDesigner) to build conceptual, logical, and physical data models and manage metadata repositories.
  • Familiarity with modern enterprise settings involving data mesh, data fabric, Master Data Management (MDM), and data product concepts
  • Experience with metadata management and enterprise data catalog tools (e.g., Collibra, Alation) is typically preferred.
  • A demonstrated ability to influence without authority, drive collaboration across technical and non-technical domain teams (like finance, supply chain, sales), and mentor junior data professionals.

Annual Base Salary Range or Hourly Base Pay Range:

$146,521.66 - $204,609.99

Compensation Type:

Salary

Incentive Eligible:

Yes

Sales Commission Eligible:

No

Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.

Thrive at work and at home:


  • Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs that include generous incentives - WE DARE TO CARE!
  • Family building benefits include fertility coverage and adoption/surrogacy assistance.
  • 401K match up to 6%, plus an additional 2% core contribution = up to 8% company contribution.
  • Paid time off includes 15 vacation days, 9 paid holidays, 3 floating holidays, sick leave, and additional options to support volunteer and parental leave.
  • Educational and training opportunities through company programs along with tuition assistance and student debt support.

Disclaimer: Benefit offerings may vary depending on Collective Bargaining Agreements and local/state regulations.


Safety Sensitive Role:

No

The company designates certain roles as Safety Sensitive. Safety Sensitive roles may require that you pass additional drug screening.

We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.

Employment Type: FULL_TIME

What Trane Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Trane Technologies logo

About Trane Technologies

Sourced by ZipRecruiter

At Trane Technologies and through our businesses including Trane® and Thermo King®, we create innovative climate solutions for buildings, homes, and transportation that challenge what's possible for a sustainable world. We're a team that dares to look at the world's challenges and see impactful possibilities. We believe in a better future when we uplift others and enable our people to thrive at work and at home. We boldly go.

Industry

Industrial machinery manufacturing and machinery manufacturing

Company size

10,000+ Employees

Headquarters location

Davidson, NC, US