Data Engineer: AI-Powered Insurance Analytics

Summit Consulting

Cincinnati (OH)

On-site

USD 110,000 - 150,000

Full time

3 days ago
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Benefits offered by this job

Medical coverage
Dental coverage
Vision coverage
Wellness plans
Parental leave
Tuition reimbursement
Paid time off
Paid holidays
401(k) 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 transform structured and unstructured data into advanced analytics solutions and collaborate with cross-functional teams to deliver scalable pipelines and AI-enabled insights.

On-site four days a week with one remote day, you will contribute to modernizing data platforms, improve data governance, and support predictive analytics initiatives in a collaborative,

Qualifications

  • Bachelor’s degree in IT, CS, or related field.
  • Proficiency in Python, SQL, and R.
  • Experience with cloud platforms and ETL/ELT tools.
  • Experience with Generative AI tools.
  • Knowledge of data modeling and governance.
  • Strong communication and problem-solving skills.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and data architectures (Snowflake).
  • Build and optimize ETL/ELT processes to ingest and transform data for analytics use cases.
  • Automate recurring operational reporting and improve efficiency.
  • Support data engineering needs for predictive analytics and ML initiatives.
  • Assist in migrating legacy systems to cloud-based data architectures and standardize processes.

Skills

Python
SQL
R
Cloud platforms
ETL/ELT
Generative AI tools
Data modeling
Data governance
Tableau

Education

Bachelor’s degree in IT/CS/SE

Tools

Informatica
Snowflake

Job description

Great American Insurance Group is seeking a Data Engineer to join the Business Data and Analytics team in Cincinnati. You will transform structured and unstructured data into advanced analytics solutions and collaborate with cross-functional teams to deliver scalable pipelines and AI-enabled insights.

On-site four days a week with one remote day, you will contribute to modernizing data platforms, improve data governance, and support predictive analytics initiatives in a collaborative,

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