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# AI Engineer

- **Company:** Insight Global
- **Location:** Cincinnati, OH, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Infrastructure, Data Integration, Data Systems, Data Warehousing, Performance Tuning, Query Optimization, Enterprise Data Management, Data Processing, Scripting, Cloud Platform System, Data Ingestion, Sql Optimization, Snowflake, Software Troubleshooting, Data Lakes, Apache Kafka, Tools for Reporting, Data Pipelines
- **Published:** October 15, 2026
- **Apply:** https://dejobs.org/x/x/5C3BBF9BAC764AEFACCE456CBD3CA39C/job/

## About the Role

5+ years of engineering experience Strong experience with Snowflake and AWS. Hands-on experience with Kafka, APIs, and data integration. Advanced SQL and query optimization skills. Data warehousing, data lake, and data modeling expertise. Strong troubleshooting and root-cause analysis abilities. Experience supporting reporting and analytics platforms. Python scripting experience. Ability to operate in a DBA-style support and engineering capacity when diagnosing platform issues. Background modernizing legacy data and reporting platforms. Familiarity with large-scale enterprise data environments and cloud-based architectures.

## Description

We are seeking a Data Engineer / Software Engineer to support enterprise data modernization initiatives focused on AWS, Snowflake, and AI-enabled data solutions. This individual will work closely with data, reporting, and application teams to maintain and enhance existing data pipelines, build integrations, troubleshoot data issues, and support ongoing platform enhancements. Design, maintain, and optimize data pipelines within AWS and Snowflake environments. Develop and support integrations using APIs and Kafka topics. Troubleshoot performance, data quality, and reporting issues across the data platform. Support the migration and replacement of legacy reporting solutions with modern reporting capabilities. Work with data lake architecture, including bronze-layer data ingestion and transformation processes. Perform data modeling and support reporting and analytics components. Investigate and resolve data congestion, framework, and pipeline issues. Collaborate with business and technical
stakeholders to adjust and refine data models supporting operational reporting. Create and maintain Python scripts to automate data processing and platform support activities.