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

Data Solutions Engineer

Columbus, OH ยท On-site

$110K - $132K/yr

Join our team as a Data Solutions Engineer, where you will play a key role in designing and ... Life Insurance * Voluntary Accident Insurance - Self and Family * Short and Long-Term Disability

... insurance performance and build lasting relationships with their customers. Our teams work ... Data Engineer, Database Developer, or similar role * Strong experience with SQL Server, SSIS, and ...

... insurance performance and build lasting relationships with their customers. Our teams work ... Data Engineer, Database Developer, or similar role * Strong experience with SQL Server, SSIS, and ...

Manager of Data Engineering

Columbus, OH ยท On-site

$140K - $160K/yr

Manager of Data Engineering Overview A leading enterprise organization is seeking a Manager, Data ... Medical, dental, and vision insurance available Work Environment * 4 days per week onsite in ...

Data Analyst

Dublin, OH ยท On-site

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 ...

Senior AI Machine Learning Engineer

Columbus, OH ยท On-site

$118K - $156K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

Showing results 21-40

Insurance Data Engineer information

See Columbus, OH salary details

$43K

$125.3K

$171.4K

How much do insurance data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for insurance data engineer in Columbus, OH is $125,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $132,800.00 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 are popular job titles related to Insurance Data Engineer jobs in Columbus, OH?

For Insurance Data Engineer jobs in Columbus, OH, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Insurance Data Engineer job openings in Columbus, OH as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $125,293 per year, or $60.2 per hour.

Data Solutions Engineer

BakerHostetler

Columbus, OH โ€ข On-site

$110K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 7 days ago


Job description

Join our team as a Data Solutions Engineer, where you will play a key role in designing and developing enterprise data solutions. This role works across the data lifecycle, including data analysis, data modeling, data architecture, data engineering, and data integration.


You will work closely with cross-functional teams to understand data needs and develop practical, scalable data solutions. Your work will support and enhance our enterprise data strategy, including master data management, by centralizing transformations and creating consistent, trusted data across the organization.


RESPONSIBILITIES:
โ€ข Develop and implement data processing workflows and pipelines to support solutions development and business intelligence needs.
โ€ข Design and develop scalable and effective data solutions to support the flow and integration of data across systems.
โ€ข Use big data technologies like Azure Data Lake, Synapse Analytics, and Data Factory to handle and analyze large volumes of data.
โ€ข Develop and maintain data storage solutions, including Azure SQL Database, PostgreSQL, Azure Data Lake, and Azure Blob Storage.
โ€ข Support the Enterprise Data Model by managing the medallion architecture layers in the data lake.
โ€ข Support master data management, data modeling, and architecture by centralizing transformations and business rules to create consistent, trusted enterprise data.
โ€ข Implement data validation and cleansing procedures to ensure the highest level of data quality and integrity.
โ€ข Use Microsoft Fabric to support data engineering, analytics, and business intelligence solutions.
โ€ข Use Microsoft Power Platform and Logic Apps to support data integration, automation, and application development needs.


REQUIRED TECHNICAL SKILLS:
Proficiency in the following tools, technologies, and data concepts:
โ€ข Azure Data Factory, Azure SQL Database, PostgreSQL, Azure Blob Storage, Azure Data Lake Storage
โ€ข Azure Synapse Analytics, Azure Databricks, Apache Spark, Apache Airflow
โ€ข Azure Logic Apps, Azure DevOps, Power Automate, REST API
โ€ข Familiarity with Azure OpenAI and Document Intelligence for turning unstructured content into usable data.
โ€ข Data analysis, data modeling, data architecture, and master data management
โ€ข Medallion architecture design patterns using Delta Lake (bronze, silver, gold layers)
โ€ข Microsoft Fabric, including Lakehouse, Data Engineering, and Real-Time Analytics
โ€ข Microsoft Power Platform (Power Apps, Power Automate, Power BI) for low-code data integration and automation
โ€ข Version control and CI/CD practices for data workflows using Azure DevOps and Git

REQUIRED EDUCATION AND EXPERIENCE:
1. Bachelorโ€™s degree in Computer Science, Information Technology, or a related field.
2. 5 years of hands-on experience developing data and software solutions.


REQUIRED INTERPERSONAL AND COMMUNICATION SKILLS:
1. Maintain effective relationships with clients and internal customers (Attorneys, Litigation Support, IP Services, and other support staff).
2. Ability to lead and build consensus among peers and staff.
3. Understanding and ability to follow project management methodologies.
4. Accurately manage and report time worked on projects.
5. Ability to prioritize and manage tasks effectively.
6. Ability to work in a fast-paced, flexible environment.
7. Ability to effectively communicate technical concepts with an audience.
8. Must be able to perform essential duties of the position with time constraints, interruptions, and under stress.


OTHER DESIRED TRAITS:
1. Demonstrates attention to detail with a professional, efficient, and business-like manner. Proactive and showing initiative, flexible, and willing to take on new and challenging tasks.


TRAVEL REQUIREMENT:
Minimal

How to Apply:

Interested individuals should apply directly via our job posting.

About Us:

BakerHostetler is recognized as one of the leading law firms in the country. With more than 1,000 attorneys located in 18 offices from coast to coast, BakerHostetler is a great place to work for those who seek professional and personal growth in a collaborative environment. We deliver the highest quality counsel to our clients, who include many of the nationโ€™s largest and most well-known companies. BakerHostetlerโ€™s values have remained unchanged since our founding more than 100 years ago: dedication to the law, commitment to the highest standard of client service, continuous development of our people and active participation in the communities in which we work and live.

BakerHostetler offers a comprehensive and competitive benefit program.ย  Specific information is provided during the interview process.

  • Competitive Salaries
  • Performance Bonus Program
  • Generous Time Off
  • Generous Retirement Program including 401(k) Plan
  • Group Health, Dental and Vision Insurance
  • BHealthy Wellness Program
  • Life Insurance
  • Voluntary Accident Insurance โ€“ Self and Family
  • Short and Long-Term Disability
  • Pre-Tax Benefit Programs

Please visit www.bakerlaw.com for more information about our Firm.

Baker & Hostetler LLP is an Equal Opportunity Employer.

The expected annual salary for this position ranges from the below. The salary offered will be determined by a wide range of factors including but not limited to experience level, education/training, and relevant skills.

Ohio, Georgia, Texas, Florida, Colorado - $120,000-155,000/year

California, Pennsylvania, Illinois, Washington D.C., Washington- $130,000-165,000/year

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