Enterprise Systems Engineer

Margie and Bill Klesse College of Engineering and Integrated Design at UTSA

Enterprise Systems Engineer maintaining and enhancing data flows utilizing low-code tools in a hybrid role. Focus on designing ETL pipelines and delivering actionable insights with AI.

Posted 4/14/2026full-timeSan Antonio • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

Analyze current IT operational processes and business requirements to identify new data and technology specifications.
Design and implement complex ETL pipelines and data movement solutions between on-premise systems and cloud data platforms.
Utilize low-code/no-code tools to automate data objectives and business processes.
Leverage AI and automation to enhance data insights, real-time reporting, and system efficiency.
Prepare flow charts and models based on system specifications to support configuration design.
Monitor data system performance and recommend/implement improvements or modifications.
Test data solutions to validate functionality, usability, and data integrity.
Serve as a technical expert for systems integration, addressing compatibility across multiple platforms and SaaS integrations.
Collaborate with IT teams and business units to ensure process improvements align with business requirements.
Maintain technical documentation for system users and support ongoing operations and development.
Work with researchers and institutional team members to articulate and access data requirements for specialized research pipelines.
Perform other duties as assigned.

Requirements

What you’ll need

High proficiency with low-code/no-code tools for building data-driven objectives.
Advanced experience with Microsoft Fabric and modern ETL tools.
Strong familiarity with AI tools and their applications in data engineering and automation.
Experience supporting researcher-specific pipelines is a plus.
Proven ability with data management tools and validation of data movement.
Ability to query databases using SQL, CLI, and API commands.
Working knowledge of scripting and data formats such as PowerShell, Python, and JSON.
Experience integrating SaaS applications with on-premise systems.
Project leadership experience.
Bachelor's degree in Computer Science, Information Systems, Business Administration, or a related field required.
Minimum of three (3) years of IT-related experience with data management tools, ETL processes, or cloud data integration required.

Benefits

Comp & perks

Health insurance
Flexible work arrangements
Paid time off

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ETLdata movementdata management toolsSQLPowerShellPythonJSONAI toolslow-code/no-code toolscloud data integration

Soft Skills

project leadershipcollaborationtechnical expertiseproblem-solvingcommunication