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Senior Data Developer/Analyst

Cincinnati, OH 2026-09-28 07:42:09

🔒 Direct submission to hiring team • Zero candidate fees

Role & Company Overview

🏢
Employer
Great American Insurance Group
📍
Location / Model
Cincinnati, OH
💼
Employment
Full-Time
🛡️
Recruitment Type
Direct to HR Pipeline
🏭
Industry
General
👥
Company Size
🌐
Headquarters
United States
✈️
Visa & Sponsorship
Global Talent Consideration
✈️
Global Sponsorship Signal: This position is eligible for global talent consideration and work authorization sponsorship for top qualified international candidates.
🛡️
Human-Verified Opening: Inspected by Sarah Jenkins, CIPD • Hirely Editorial Team. Authenticated directly from Great American Insurance Group's hiring pipeline • Zero recruiter markups or candidate fees. Verification Standards

📋 Role Overview & Responsibilities

  • Work on data engineering, data warehousing and integration development.
  • Develop and maintain relational databases for data engineering, data storage and mining.
  • Design and test moderately complex data warehouses.
  • Creates enhanced and new components for existing data warehouses.
  • Designs data warehouse schematics and layouts and develops capacity planning.
  • Perform ETL and SQL development.
  • Use ETL Informatica PowerCenter.
  • Build, design, and test restful API services executing CRUD operations on designed data warehouse.
  • May use DB2, Oracle, MS SQL, Snowflake, Impala, Hive, and other data stores as needed for data warehouse ingestion and integration.

Frequently Asked Questions

How do I apply for the Senior Data Developer/Analyst position at Great American Insurance Group? ▼

Click the “Apply for this Position” button on this page to submit your application directly to Great American Insurance Group without recruitment intermediary fees.

Is this position eligible for remote work or visa sponsorship? ▼

This position is located in Cincinnati, OH with potential relocation and sponsorship assistance depending on candidate qualifications.

Are there any candidate fees on Hirely? ▼

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