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Insurance Data Engineer Jobs in Medina, OH (NOW HIRING)

Data Engineer

Macedonia, OH ยท Hybrid

$103K - $124K/yr

At HSO, we're looking for a proactive and skilled Data Engineer to join our growing team. In this ... Private Healthcare Insurance to support your well-being. * Flexible Hybrid Work Model for better ...

Data Platform Engineer

Independence, OH ยท Hybrid

$79K - $102K/yr

The Data Platform Engineer is responsible for designing, maintaining, and optimizing the ... Insurance and more. You can review our benefits at www.weltman.com/careers for more information.

Lead Data Engineer

Cleveland, OH ยท On-site

$99K - $130K/yr

Are you an experienced Data Engineer looking for a change? Do you want to work with cutting edge ... insurance, long term disability and 401(k) plans. - When required, we carefully manage H1-B and ...

New

Sr Cloud Data Engineer

Akron, OH ยท On-site

$142.64/hr

Akron Salary: $49.78/hr - $74.68/hr Summary The Senior Cloud Data Engineer is a strategic ... Accident Insurance, Hospital Indemnity, and Critical Illness * Retirement Savings Plan * Flexible ...

New

Palantir Data Lead

Cleveland, OH ยท On-site

$75 - $80/hr

... Developer). Manufacturing, supply chain, or PLM domain background. SAP or Teamcenter data model knowledge. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan ...

Palantir Data Lead

Cleveland, OH ยท On-site

$75 - $80/hr

... Developer). * Manufacturing, supply chain, or PLM domain background. * SAP or Teamcenter data model knowledge. Benefits Our Benefits Include: * Medical, Dental, and Vision Insurance * 401(k) ...

Ensuring adherence to data engineering standards and governance, as well as IT change management ... vision, and life insurance programs, as well as skills development training with tuition ...

Ensuring adherence to data engineering standards and governance, as well as IT change management ... vision, and life insurance programs, as well as skills development training with tuition ...

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Showing results 1-20

Insurance Data Engineer information

See Medina, OH salary details

$39.6K

$115.4K

$158K

How much do insurance data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for insurance data engineer in Medina, OH is $115,445.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $122,400.00 per year, depending on experience, location, and employer.

What is an insurance data engineer?

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.

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 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.

What job categories do people searching Insurance Data Engineer jobs in Medina, OH look for?

The top searched job categories for Insurance Data Engineer jobs in Medina, OH are:

What cities near Medina, OH are hiring for Insurance Data Engineer jobs?

Cities near Medina, OH with the most Insurance Data Engineer job openings:

Data Engineer

HSO Group B.V.

Macedonia, OH โ€ข Hybrid

$103K - $124K/yr

Full-time

Medical, PTO

Posted 20 days ago


Job description

At HSO,ย we'reย looking for a proactive and skilledย Data Engineerย to join our growing team. In this role,ย you'llย design, build, andย optimizeย modern data platforms that enable organizations to unlock the full value of their data. Working with Microsoft Fabric, Azure technologies, and modern engineering practices,ย you'llย help deliver scalable, secure, and high-performing data solutions for our clients.ย 

About HSOย 

At HSO,ย we'reย more than a global ITย consultancy,ย we'reย a catalyst for innovation and growth. With over 2,800 professionals across 30+ countries, we help organizations transform their businesses through the power of Microsoft technologies.ย 

As a Microsoft Gold Certified Partner since 2002 and a proud member of the Microsoft Dynamics Inner Circle (top 1% of partners globally), we bring deepย expertiseย in Dynamics 365, the Azure cloud platform, Data & AI, and our own industry-specific solutions.ย 

Key Responsibilitiesย 

  • Design, develop, andย maintainย scalable data solutions using Microsoft Fabric, Azure Data Factory, and Azure technologies.ย 
  • Build,ย maintain, andย optimizeย data pipelines using Python,ย PySpark, SQL, Microsoft Fabric, and Azure Data Factory.ย 
  • Develop and support ETL/ELT processes, data integration workflows, and orchestration solutions.ย 
  • Work with structured and unstructured data from multiple sources.ย 
  • Implement andย maintainย data models that support reporting, analytics, and AI workloads.ย 
  • Ensure data quality, governance, security, and compliance across data platforms.ย 
  • Monitor, troubleshoot, andย optimizeย data pipelines, workflows, and platform performance.ย 
  • Collaborate with consultants, architects, and client stakeholders to deliver business-driven data solutions.ย 
  • Leverage AI-assisted development tools such as GitHub Copilot and Microsoft Copilot to improve productivity and code quality.ย 
  • Contribute to the continuous improvement of engineering standards, best practices, and technical documentation.ย 
  • Support CI/CD processes and automated deployment of data solutions.ย 

Requirementsย 

  • Bachelor's degree in Computer Science, Engineering, Information Technology, orย a relatedย field.ย 
  • 3+ years of experience in data engineering.ย 
  • Hands-on experience withย Microsoft Fabricย (required).ย 
  • Strong programming skills inย Pythonย andย PySpark.ย 
  • Strong knowledge ofย SQLย and data modelling principles.ย 
  • Experience designing and building modern data pipelines and ETL/ELT processes.ย 
  • Experience withย Azure Data Factory (ADF)ย and data integration solutions.ย 
  • Experience with Azure data technologies and cloud-based data platforms.ย 
  • Familiarity with Data Lake, Lakehouse, and Data Warehouse concepts.ย 
  • Experience with Git, CI/CD pipelines, and DevOps practices.ย 
  • Experience using AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, or similar solutions.ย 
  • Strong analytical and problem-solving skills.ย 
  • Excellent communication skills and the ability to work in a collaborative, international environment.ย 

What We Offerย 

  • Competitive Compensation & Bonusย aligned with your experience and performance.ย 
  • Private Healthcare Insuranceย to support your well-being.ย 
  • Flexible Hybrid Work Modelย for better work-life balance.ย 
  • Global Exposure:ย Collaborate with international teams on large-scale projects for leading corporations.ย 
  • Learning & Development:ย Access Tech Updates sessions, team events, the Microsoft Learning Platform, free Microsoft certification exams, and tailored training programs to support your career and certification goals.ย 
  • Sports Subscription:ย Stay active with aย Sportmasterย subscription.ย 
  • Vacation Days:ย Recharge and unwind withย 23 daysย of paid vacation.ย 
  • Career Growth Opportunities:ย Develop yourย expertiseย within a global Microsoft partner and collaborate with experienced professionals across international teams.ย 
  • Cutting-Edgeย Technology:ย Work with Microsoft Fabric, Azure Data Factory, AI-powered tools, and modern data engineering practices to deliver impactful solutions.ย 
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