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Insurance Data Engineer Jobs in Elgin, IL (NOW HIRING)

Job Summary The Azure Data Engineer/Analystsupports the development and delivery of enterprise ... Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time ...

Job Summary The Azure Data Engineer/Analystsupports the development and delivery of enterprise ... Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time ...

Who you are As a Senior Data Engineer at Metropolis, you will play a key role in shaping data ... basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite ...

Senior Data Engineer

Chicago, IL · On-site

$160K - $220K/yr

Who you are As a Senior Data Engineer at Metropolis, you will play a key role in shaping data ... basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite ...

Job Summary The Azure Data Engineer/Analyst supports the development and delivery of enterprise ... Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time ...

Data Engineer (Remote)

Chicago, IL · Remote

$117K - $140K/yr

Key Responsibilities Data Engineering * Design, build, and maintain scalable data pipelines for ... Competitive salary and benefits package, including insurance and 401k with match * Company ...

Data Engineer (AWS, Azure, GCP)

Chicago, IL · On-site

$118K - $141K/yr

CapTech Data Engineering consultants enable clients to build and maintain advanced data systems ... insurance, paid family leave and more, we've launched extended benefits to help meet our employees ...

Senior Data Engineer

Chicago, IL · On-site

$112K - $188K/yr

Medical, dental, vision, and life insurance plans with coverage starting on day one of employment ... As a Senior Data Engineer at Grainger, you will play a pivotal role in designing, building, and ...

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

Strong SQL and data modeling skills * Strong Python engineering skills * Experience with Docker and ... Other Voluntary Benefits include additional Life Insurance, Spouse Life Insurance, and Accident ...

Senior AI Data Engineer

Chicago, IL · On-site

$120K - $170K/yr

Being a Senior AI Data Engineer at iManage Means... You're passionate about transforming ... Offering comprehensive Health/Vision/Dental/Life Insurance, and a 401k Retirement Savings Plan with ...

Senior AI Data Engineer

Chicago, IL · On-site

$120K - $170K/yr

Being a Senior AI Data Engineer at iManage Means... You're passionate about transforming ... Offering comprehensive Health/Vision/Dental/Life Insurance, and a 401k Retirement Savings Plan with ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Strong SQL and data modeling skills * Strong Python engineering skills * Experience with Docker and ... Other Voluntary Benefits include additional Life Insurance, Spouse Life Insurance, and Accident ...

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Strong SQL and data modeling skills * Strong Python engineering skills * Experience with Docker and ... Other Voluntary Benefits include additional Life Insurance, Spouse Life Insurance, and Accident ...

Senior GCP Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

As a Senior GCP Data Engineer at RXO, you'll play a role in accomplishing the following team goals ... Insurance: health, prescription, dental, vision, basic and supplemental life, short and long-term ...

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

About Us Honeycomb Insurance is a modern, data-driven insurance company building smarter ways to ... This role bridges Finance, Accounting, and Engineering, ensuring that the data powering our ...

Leadership: Lead a team of engineers, fostering a culture of innovation, collaboration and ... Familiarity with actuarial principles, insurance data structures, regulatory requirements and ...

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Showing results 1-20

Insurance Data Engineer information

See Elgin, IL salary details

$44K

$128.2K

$175.5K

How much do insurance data engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for insurance data engineer in Elgin, IL is $128,226.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,200.00 and $135,900.00 per year, depending on experience, location, and employer.

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 Elgin, IL? For Insurance Data Engineer jobs in Elgin, IL, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Elgin, IL look for? The top searched job categories for Insurance Data Engineer jobs in Elgin, IL are:
What cities near Elgin, IL are hiring for Insurance Data Engineer jobs? Cities near Elgin, IL with the most Insurance Data Engineer job openings:
Azure Data Engineer/Analyst

Azure Data Engineer/Analyst

Medline

Northbrook, IL

$92K - $138K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 6 days ago


Medline Industries rating

7.6

Company rating: 7.6 out of 10

Based on 247 frontline employees who took The Breakroom Quiz

229th of 528 rated manufacturers


Job description

Job Summary

Job Description

The Azure Data Engineer/Analystsupports the development and delivery of enterprise business intelligence, data analysis, and reporting solutions for Medline's Sales organizations. This role works closely with BI analysts, data engineers, and business stakeholders to transform raw data into trusted datasets, reports, and dashboards that drive business decisions.

To be successful in the role, you need strong analytical skills, excellent communication skills and will be responsible for developing and maintaining enterprise and departmental business intelligence, data warehousing and reporting solutions.

Key Responsibilities

Data Analysis

  • Partner with Sales, Marketing, and BI stakeholders to understand business questions, reporting needs, and KPIs.

  • Analyze enterprise datasets to identify trends, patterns, and data quality issues impacting reports and dashboards.

  • Support metric definitions, calculations, and validation to ensure consistent and reliable business reporting.

  • Ad hoc analysis and data exploration to support decision making initiatives.

  • Own endtoend project delivery includes communication, development, testing, migration, support, and documentation.

Data Engineering

  • Development and maintenance of data ingestion and transformation pipelines using Microsoft Fabric, Azure, and SQL based tools.

  • Prepare, clean, and transform raw data into analytics ready datasets for reporting and visualization.

  • Write, test, and maintain SQL queries in Lakehouse and Warehouse environments.

  • Perform data validation, reconciliation, and basic troubleshooting to ensure accuracy and reliability.

  • Support production deployments, monitoring, and issue resolution in partnership with senior engineers.

  • Document data models, pipelines, and technical processes following BI standards.

Visualization & Dashboards

  • Develop and enhance Power BI reports and dashboards to support Sales and Marketing

  • Translate business requirements into intuitive, user- friendlyvisualizations and self-service reporting solutions. Apply visualization best practices to ensure clarity, consistency, and usability of dashboards.

  • Support ongoing dashboard enhancements, performance tuning, and user feedback incorporation.

Required Qualifications

  • 6+ years of experience in Business Intelligence, Data Analytics, Data Engineering, or a related technical role.

  • Strong proficiency in SQL, including performance tuning, optimization, and development of complex queries for Fabric Lakehouse and Warehouses.

  • Good working knowledge of SAP systems and underlying data structures, with ability to integrate SAP data into Fabric/Azurepipelines.

  • Expertise in data engineering best practices, including data modeling, data integration, and building highperforming analytical data stores.

  • ExperienceinPower BI(orTableau)for building reports and dashboards.

  • 3 + years of experiencewithcloud-baseddata platforms (Microsoft Fabric and/or Azure data services).

  • Ability to design and implement scalable data solutions using Fabric/AzureOneLake architecture, Delta Lake tables, and pipelines.

  • Experienceindataqualitychecks, validation, and documentation practices.

  • Strong communication skills and ability to work with both technical and business stakeholders.

  • Strong task management, prioritization, andproblem-solvingcapabilities, driving work from conception to completion.

  • Experience with SDLC, Agile/Scrum, and project management tools such as Jira.

Preferred Skills

  • Certifications in Azure or Fabric technologies are a plus.

  • Data modeling (Native HANA) and TDV (Good to Have).

  • Experience of ETL tools, preferably Talend.

Medline Industries, LP, and its subsidiaries, offer a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.

The anticipated salary range for this position:

$92,000.00 - $138,000.00 Annual

The actual salary will vary based on applicant's location, education, experience, skills, and abilities. This role is bonus and/or incentive eligible. Medline will not pay less than the applicable minimum wage or salary threshold.

Our benefit package includes health insurance, life and disability, 401(k) contributions, paid time off, etc., for employees working 30 or more hours per week on average. For roles where employees work less than 30 hours per week, benefits include 401(k) contributions, paid time off, as well as access to the Employee Assistance Program, Employee Resource Groups and the Employee Service Corp. For a more comprehensive list of our benefits please click here.

We're dedicated to creating a Medline where everyone feels they belong and can grow their career. We strive to do this by seeking diversity in all forms, acting inclusively, and ensuring that people have tools and resources to perform at their best. Explore our Belonging pagehere.

Medline Industries, LP is an equal opportunity employer. Medline evaluates qualified individuals without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, neurodivergence, protected veteran status, marital or family status, caregiver responsibilities, genetic information, or any other characteristic protected by applicable federal, state, or local laws.


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About Medline

Sourced by ZipRecruiter

Medline Industries, LP is the leading nationwide supplier of medical, surgical and pharmaceutical products to hospitals, nursing homes, HME providers, surgery centers, physician offices and home care/hospice settings.

Industry

Medical equipment and supplies manufacturing

Company size

10,000+ Employees

Headquarters location

Winnetka, IL, US

Year founded

1966