Technical Solutions Engineer

This is a fully remote position, open to applicants in Alabama, +11 more states.

📋 Description

• Diagnose and resolve production and development challenges across various software applications, data systems, reporting platforms, integrations, internal tools, and engineering workflows.

• Manage and troubleshoot data warehousing, analytics, reporting, and business intelligence systems.

• Conduct SQL-based data analyses and resolve issues with ETL/ELT pipelines.

• Provide support for Power BI reports and dashboards.

• Utilize AI-powered tools for code analysis, debugging, SQL/query writing, test generation, documentation, requirements analysis, system design, data analysis, and technical triage.

• Read, comprehend, modify, and write code, primarily in Python, C#, SQL, and PowerShell.

• Assist with engineering initiatives across software, data engineering, reporting, Salesforce, Azure, APIs/integrations, DevOps/pipelines, and internal business systems.

• Manage helpdesk/ticketing system requests, including acknowledgment, triage, troubleshooting, resolution, documentation, and escalation.

• Diagnose issues through logs, system behavior, API responses, data flows, configuration, permissions, and user-reported symptoms.

• Engage in deployments, releases, production changes, and validation processes.

• Support monitoring, logs, alerts, and incident triage activities.

• Develop and maintain technical documentation, troubleshooting guides, knowledge articles, runbooks, and process documentation.

• Collaborate with engineers, analysts, developers, and business stakeholders to determine root causes and implement solutions.

• Independently manage appropriately scoped troubleshooting, maintenance, documentation, support, and enhancement tasks.

• Identify recurring issues and suggest improvements to systems, processes, automation, reporting, security posture, and support workflows.

• Promote responsible and secure usage of AI technologies.

• Execute additional responsibilities as required by business needs.

⛳️ Requirements

• 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.

• Proven technical background in software, data, application, integration, and infrastructure-related issues.

• Strong systems analysis capabilities.

• Proficiency in reading and writing code, including Python, C#, SQL, or PowerShell.

• Excellent SQL skills.

• Familiarity with ETL/ELT concepts.

• Experience in maintaining and troubleshooting Power BI reports, dashboards, datasets, or similar business intelligence/reporting assets.

• Background in debugging APIs, integrations, logs, application errors, and data flow challenges.

• Experience with Git, GitHub, Azure DevOps, or similar source control and work management platforms.

• Capability to engage in testing, deployment, release validation, and change management activities.

• Practical experience utilizing AI tools in technical tasks.

• Ability to critically evaluate AI-generated outputs and validate results.

• Skill in managing tickets in a helpdesk/ticketing system, documenting work done, and escalating with clear reproduction steps, evidence, and context.

• Strong written and verbal communication skills.

• Experience with Azure-based systems, data platforms, automation, or cloud infrastructure is preferred.

• Familiarity with data warehousing, analytics engineering, semantic models, reporting pipelines, or enterprise BI systems is preferred.

• Experience with Salesforce administration, development, reporting, or support workflows is preferred.

• Background in supporting production systems, including incident triage, root cause analysis, monitoring, logging, and post-incident documentation is preferred.

• Experience with CI/CD pipelines, deployment automation, Azure DevOps, GitHub Actions, or similar release tools is preferred.

• Familiarity with AI tools such as ChatGPT, Claude, GitHub Copilot, Azure AI Foundry, Cursor, Replit, or prompt engineering frameworks is preferred.

• Experience in financial services, lending, or regulated industries is preferred.

🏝️ Benefits

• Options for remote work.

• A collaborative culture.

• Opportunities for growth.