Data Systems Engineer — Onsite AI & Data Automation

Ledgent Technology; Troutdale (OR); On-site; USD 65,000 - 75,000; Full time

Job summary

Ledgent Technology in Troutdale, OR is seeking a Data Systems Engineer to support and enhance data infrastructure, reporting systems, and AI-enabled tools. The role focuses on maintaining existing data and reporting solutions and supporting an internally developed AI application.

You will collaborate across departments to ensure accurate business data, troubleshoot issues, and contribute to modernization and continuous improvement efforts, with emphasis on SQL Server, ETL, and analytics.

Qualifications

• Experience supporting business applications, reporting systems, or data solutions.
• Experience troubleshooting data, application, and integration issues.
• Strong analytical and problem-solving abilities.
• Ability to manage multiple projects and competing priorities.
• Strong communication and documentation skills.

Responsibilities

• Maintain, monitor, and optimize SQL Server databases.
• Support and enhance internally developed applications and automation tools.
• Maintain an existing AI-powered business solution built by a departing team member.
• Develop, modify, and troubleshoot reports across various reporting platforms.
• Monitor data flows between ERP systems, databases, and reporting tools.
• Troubleshoot application, database, and integration issues.
• Perform data validation, corrections, and quality assurance activities.
• Document systems, processes, and technical solutions.
• Partner with business stakeholders to improve system functionality and business processes.
• Assist with modernization initiatives and continuous improvement efforts.

Skills

SQL Server

Data analysis

Troubleshooting

Documentation

Communication

Tools

Power BI

SSRS

Tableau

C# programming

Python

REST APIs

Job description

Ledgent Technology in Troutdale, OR is seeking a Data Systems Engineer to support and enhance data infrastructure, reporting systems, and AI-enabled tools. The role focuses on maintaining existing data and reporting solutions and supporting an internally developed AI application.

You will collaborate across departments to ensure accurate business data, troubleshoot issues, and contribute to modernization and continuous improvement efforts, with emphasis on SQL Server, ETL, and analytics.