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Technical Solutions Engineer
Visio Lending. Troubleshoot production and development issues across software applications, data systems, reporting platforms, integrations, internal tools, and engineering workflows .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in troubleshooting and maintaining software applications, data systems, and reporting platforms, with strong skills in SQL, Python, and Power BI. Proficient in using AI tools for technical analysis and capable of collaborating effectively with cross-functional teams to enhance system performance and documentation.
Highest-signal resume keywords
SQL-Based Data AnalysisPower BI ReportingETL/ELT Pipeline TroubleshootingPython ProgrammingSystems Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonC#PowerShellETLELTData WarehousingAnalytics EngineeringAPI DebuggingCI/CD Pipelines
Soft Skills
Strong Written CommunicationStrong Verbal CommunicationProblem-SolvingCollaboration
Tools & Technologies
Power BIGitGitHubAzure DevOpsAI Tools
Industry Keywords
Financial ServicesLendingRegulated IndustriesBusiness IntelligenceTechnical Operations
Tech Stack
Tools & technologiesAzureCloudETLPythonSQL
About the role
Key responsibilities & impact- Troubleshoot production and development issues across software applications, data systems, reporting platforms, integrations, internal tools, and engineering workflows
- Maintain and troubleshoot data warehousing, analytics, reporting, and business intelligence systems
- Perform SQL-based data analysis and troubleshoot ETL/ELT pipelines
- Support Power BI reports and dashboards
- Use AI-enabled tools for code analysis, debugging, SQL/query writing, test generation, documentation, requirements analysis, system design, data analysis, and technical triage
- Read, understand, modify, and write code, primarily using Python, C#, SQL, and PowerShell
- Assist with engineering projects across software, data engineering, reporting, Salesforce, Azure, APIs/integrations, DevOps/pipelines, and internal business systems
- Work helpdesk/ticketing system tickets, including acknowledgement, triage, troubleshooting, resolution, documentation, and escalation
- Diagnose issues using logs, system behavior, API responses, data flows, configuration, permissions, and user-reported symptoms
- Participate in deployments, releases, production changes, and validation activities
- Support monitoring, logs, alerts, and incident triage
- Create and maintain technical documentation, troubleshooting guides, knowledge articles, runbooks, and process documentation
- Collaborate with engineers, analysts, developers, and business stakeholders to identify root causes and implement solutions
- Independently handle appropriately scoped troubleshooting, maintenance, documentation, support, and enhancement work
- Identify recurring issues and recommend improvements to systems, processes, automation, reporting, security posture, and support workflows
- Support responsible and secure AI usage
- Perform other responsibilities based on business needs
Requirements
What you’ll need- Bachelor's degree in computer science, information systems, engineering, data analytics, or a related field preferred, or equivalent demonstrable experience
- 5+ years of professional experience in software engineering, data engineering, systems analysis, technical operations, DevOps/support engineering, or a closely related technical role
- Demonstrated technical background across software, data, application, integration, and infrastructure issues
- Strong systems analysis skills
- Ability to read and write code, including Python, C#, SQL, or PowerShell
- Strong SQL skills
- Working knowledge of ETL/ELT concepts
- Experience maintaining and troubleshooting Power BI reports, dashboards, datasets, or comparable business intelligence/reporting assets
- Experience debugging APIs, integrations, logs, application errors, and data flow issues
- Experience using Git, GitHub, Azure DevOps, or comparable source control and work management tools
- Ability to participate in testing, deployment, release validation, and change management activities
- Practical experience using AI tools in technical work
- Ability to evaluate AI-generated output critically and validate results
- Ability to work tickets in a helpdesk/ticketing system, document work performed, and escalate with clear reproduction steps, evidence, and context
- Strong written and verbal communication skills
- Experience with Azure-based systems, data platforms, automation, or cloud infrastructure preferred
- Experience with data warehousing, analytics engineering, semantic models, reporting pipelines, or enterprise BI systems preferred
- Experience with Salesforce administration, development, reporting, or support workflows preferred
- Experience supporting production systems, including incident triage, root cause analysis, monitoring, logging, and post-incident documentation preferred
- Experience with CI/CD pipelines, deployment automation, Azure DevOps, GitHub Actions, or comparable release tooling preferred
- Familiarity with AI tools such as ChatGPT, Claude, GitHub Copilot, Azure AI Foundry, Cursor, Replit, or prompt engineering frameworks preferred
- Experience in financial services, lending, or regulated industries preferred
Benefits
Comp & perks- Remote work options
- Collaborative culture
- Growth opportunities