1

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

Previous regulatory reporting or insurance experience * Working knowledge of Azure DevOps or other ... Data Modeling experience * Strong analytical and problem-solving skills * Ability to set priorities ...

Design Engineer

Van Wert, OH · On-site

$90K - $110K/yr

Life insurance and Accidental Death & Dismemberment (AD&D) coverage for added peace of mind ... Analyze product designs, test data, and reports to verify compliance with functional performance ...

Life insurance and Accidental Death & Dismemberment (AD&D) coverage for added peace of mind ... Analyze product designs, test data, and reports to verify compliance with functional performance ...

Design Engineer

Van Wert, OH · On-site

$90K - $110K/yr

Life insurance and Accidental Death & Dismemberment (AD&D) coverage for added peace of mind ... Analyze product designs, test data, and reports to verify compliance with functional performance ...

... Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and ... Enterprise Data Services (EDS) plays a critical role in enabling the organization's success by ...

Join a high-impact engineering team at the heart of our personal lines insurance business, where ... Your contributions will help modernize systems, strengthen integrations, and improve data flow ...

... collect and analyze data for critical product and process parameters to identify process ... Insurance, Tuition Reimbursement, Flexible Time Off, and Paid Parental Bonding Leave, among other ...

Troubleshoot and provide end-user support for ERP, data collection (barcode scanners and barcode ... insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal ...

... pet insurance. Learn more about our benefits. Equal Opportunity Employer Danone North America is ... Data Privacy Law

... pet insurance. Learn more about our benefits. Equal Opportunity Employer Danone North America is ... Data Privacy Law Employment Type: FULL_TIME

... pet insurance. Learn more about our benefits. Equal Opportunity Employer Danone North America is ... Data Privacy Law Qualifications: Life at Danone With approximately 5,000 employees and 13 ...

next page

Showing results 1-20

Insurance Data Engineer information

See Lima, OH salary details

$43K

$125.5K

$171.7K

How much do insurance data engineer jobs pay per year?

As of Jul 29, 2026, the average yearly pay for insurance data engineer in Lima, OH is $125,470.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $133,000.00 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 Lima, OH? For Insurance Data Engineer jobs in Lima, OH, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Lima, OH look for? The top searched job categories for Insurance Data Engineer jobs in Lima, OH are:
What cities near Lima, OH are hiring for Insurance Data Engineer jobs? Cities near Lima, OH with the most Insurance Data Engineer job openings:

Other

Medical, Retirement

Re-posted 11 days ago


Job description

Location: Van Wert, OH; Dublin, OH
Work Model: Hybrid 
Position type: Full time - salary 

We’re a team of employees passionate about delivering best-in-class customer service and driving innovation in claims management. Integrity, relationships, and excellence are at the heart of everything we do.

Our employees fully utilize their talents and bring their best selves to work. We believe who you are is just as important as what you do!

Join Central Insurance as a Data Analyst where you will play a pivotal role in transforming data into meaningful insights that drive business decisions and regulatory reporting. In this role, you will partner closely across IT, Finance, Actuarial, and Analytics teams to ensure data accuracy, integrity, and reliability while helping the organization meet critical reporting requirements and strategic goals.

This is an opportunity for a curious, detailoriented professional who thrives on problem solving and continuous improvement. You will leverage advanced tools and analytical techniques to identify trends, surface insights, and influence data solutions, all while contributing to a culture that values data quality, collaboration, and innovation. 


Key Responsibilities of the Role

  • Prepare and submit regulatory reports accurately and on time
  • Ensure adherence to & reinforcement of delivery best practices
  • Actively engaged in the design and implementation of repeatable processes
  • Champion data quality, integrity, and reliability throughout the department by designing and promoting best practices
  • Partner with IT, data engineering, and other BI organizations to advance data & analytical capabilities throughout the enterprise
  • Analyze and validate financial data; identify trends, discrepancies, and anomalies
  • Track regulatory updates and adapt reporting processes accordingly
  • Maintain documentation of processes and support internal/external audits
  • Identify improvement opportunities in reporting systems and workflows
  • Assume department responsibility as the Data Steward ensuring the fitness of data elements
  • Collaborate regularly with IT, Analytics, Actuarial, Finance, and other Business units to ensure data is accurate
  • Display critical thinking and evaluation when researching and responding to inquiries and referrals
  • Develop and utilize BI solutions effectively (reports, analytics, data pulls, insights, etc.) 
  • Meet with stakeholders to understand needs and provide insights that help meet profit, growth, and expense goals
  • Guide & influence strategic data solutions


Required Qualifications

  • Bachelor’s degree in Computer Science or related field and 2 years of related experience
  • Or 4 years of related experience

Knowledge, Skills, and Abilities

  • Previous regulatory reporting or insurance experience
  • Working knowledge of Azure DevOps or other code repositories
  • Experience with object-oriented programming languages, such as Python
  • Advanced Alteryx expertise
  • Advanced SQL expertise
  • Data Modeling experience
  • Strong analytical and problem-solving skills
  • Ability to set priorities and plans to meet business goals and objectives
  • Ability to shift & balance strategic, high-level thinking with attention to detail
  • Ability to lead, motivate & influence without having formal authority
  • Ability to act as a thought leader with a focus on innovative & high-quality solutions
  • Ability to work both independently and in a team environment with internal /external customers
  • Ability to understand, design & implement end-to-end BI workflows
  • Strong organizational, planning & problem-solving skills
  • Strong communication & interpersonal skills
  • Ability to understand Central Insurance’s policies and processes


Total Rewards

Central establishes base pay based on several factors including labor market data and an evaluation of candidate qualifications relative to role requirements. Base pay is one component of a comprehensive total rewards package designed to support employees’ financial, health, career, and retirement objectives. Central provides extensive health and wellness benefits to promote flexibility, work-life balance, and long-term financial security. For more information, see Central Insurance Benefits