Remote Technical Solutions Engineer — Data, AI & Integrations

Visio Lending; Austin, Northern (TX, KY); Hybrid; USD 111,000 - 135,000; Full time

Job summary

Visio Lending, based in Austin, TX, is seeking a Technical Solutions Engineer to support and enhance our technology stack. You will troubleshoot complex issues across software applications, data platforms, and reporting tools, leveraging AI-enabled tools under governance standards to improve productivity.

The role emphasizes data warehouse support, analytics, and cross-functional collaboration with engineering, data analytics, and business stakeholders.

Qualifications

• Bachelor's degree in computer science, information systems, engineering, data analytics, or related field or equivalent experience
• 5+ years of professional software or data engineering experience
• Strong SQL skills to query, validate, troubleshoot, and interpret data
• Experience reading/writing code in Python, C#, SQL, or PowerShell
• Experience with data warehousing and BI reporting (Power BI)
• Experience in AI-assisted development and responsible AI usage

Responsibilities

• Troubleshoot production and development issues across software and data systems
• Maintain and troubleshoot data warehousing, analytics, reporting, and BI assets
• Use AI tools to assist with code analysis, debugging, and documentation while validating results
• Read, modify, and write code in Python, C#, SQL, and PowerShell
• Collaborate with engineers, analysts, and stakeholders to clarify requirements and implement solutions
• Support deployments, monitoring, and incident triage as part of the engineering team

Skills

SQL

Python

Power BI

PowerShell

Azure

GitHub

Communication

Education

Bachelor's degree in CS or related field

Tools

Azure DevOps

Git

Salesforce

Power BI

Job description

Visio Lending, based in Austin, TX, is seeking a Technical Solutions Engineer to support and enhance our technology stack. You will troubleshoot complex issues across software applications, data platforms, and reporting tools, leveraging AI-enabled tools under governance standards to improve productivity.

The role emphasizes data warehouse support, analytics, and cross-functional collaboration with engineering, data analytics, and business stakeholders.