Hybrid Data Engineer: Cloud Pipelines & AI Enablement

Great American Insurance Group; Cincinnati (OH); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Wellness plans

Parental leave

Tuition reimbursement

Paid time off

Paid holidays

401(k) plan with company match

Employee stock purchase plan

Commuter benefits

Job summary

Great American Insurance Group is seeking a Data Engineer to join the Business Data and Analytics team in Cincinnati. You will design and maintain scalable data pipelines on cloud platforms like Snowflake, transforming structured and unstructured data for advanced analytics.

You’ll collaborate with claims, underwriting, data scientists, and IT to enable predictive analytics and AI initiatives. The role emphasizes on-site collaboration four days a week with one remote day, a team-driven

Qualifications

• Bachelor’s degree in a IT/CS/SE related field.
• Proficiency in Python, SQL, and R.
• Experience with cloud platforms and modern development frameworks.
• Hands-on ETL/ELT tools experience.
• Experience with Generative AI tools and agentic coding.

Responsibilities

• Design, develop, and maintain scalable data pipelines and data architectures (Snowflake).
• Build and optimize ETL/ELT processes for analytics readiness.
• Automate recurring operational reporting to improve efficiency.
• Support data engineering for predictive analytics and ML initiatives.
• Modernize data platforms by migrating to cloud architectures.

Skills

Python

SQL

R

Cloud platforms

ETL/ELT

Generative AI tools

Data modeling

Data governance

Communication

Education

Bachelor’s degree in Information Technology, Computer Science, Software Engineering, or related field

Tools

Informatica

UC4

Tableau

Job description

Great American Insurance Group is seeking a Data Engineer to join the Business Data and Analytics team in Cincinnati. You will design and maintain scalable data pipelines on cloud platforms like Snowflake, transforming structured and unstructured data for advanced analytics.

You’ll collaborate with claims, underwriting, data scientists, and IT to enable predictive analytics and AI initiatives. The role emphasizes on-site collaboration four days a week with one remote day, a team-driven