Technical Solutions Engineer

Posted 1mo ago

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Troubleshoot production and development issues across applications, data platforms, reporting tools, integrations, APIs, and internal systems.
Support data warehousing, analytics, BI, and reporting systems.
Use AI-enabled tools to debug, code review, write SQL/queries, document, test, analyze, and design systems.
Write and modify code in Python, C#, SQL, and PowerShell.
Manage tickets in a helpdesk system, triage, resolve, document, and escape when appropriate.
Diagnose issues through logs, system behavior, API responses, data flows, configurations, permissions, and user symptoms.
Participate in deployments, releases, production changes, monitoring, alerts, and incident triage.
Create and maintain technical documentation, troubleshooting guides, runbooks, and knowledge articles.
Collaborate with engineers, analysts, developers, and stakeholders to clarify requirements and implement practical solutions.
Identify recurring issues and recommend improvements to systems, documentation, automation, reporting, security posture, or support workflows.

5+ years of experience in software engineering, data engineering, systems analysis, DevOps, technical operations, or a related role.
Strong ability to analyze complex systems and troubleshoot ambiguous technical issues.
Practical experience reading and writing code in Python, C#, SQL, or PowerShell.
Strong SQL skills, including querying, validation, and troubleshooting structured data.
Working knowledge of ETL/ELT concepts and data pipeline troubleshooting.
Experience supporting Power BI or similar reporting/BI platforms.
Experience debugging APIs, integrations, logs, application errors, and data flows.
Familiarity with Git, GitHub, Azure DevOps, or similar source control tools.
Hands-on experience using AI tools in technical work, with the ability to validate outputs.
Strong communication skills and ability to document work clearly.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience.

Experience with Azure-based systems, cloud infrastructure, or automation.
Background in data warehousing, analytics engineering, and enterprise BI environments.
Power BI dashboard development or dataset support experience.
Salesforce administration, development, or reporting experience.
Experience supporting production systems, including incident response and root-cause analysis.
Familiarity with CI/CD pipelines and deployment automation tools.

Skills