Job Description
Software Data Operations EngineerPlano (Dallas), TexasResponsibilitiesAnalyze existing systems (30%) - Collect requirement specifications to analyze business processes and determine the exact nature of user's system requirements. Use tools like Microsoft 365 Copilot to summarize stakeholder input and map process flow from documents, emails, and meetings. Collaborate with module leaders and core team members to decide on system architecture.
- Analyze existing system structures to identify opportunities for migration to cloud-based platforms. Use GitHub Copilot to assist in refactoring legacy code and Microsoft Azure AI services to evaluate cloud readiness and performance benchmarks.
- Analyze user requirements and align them with available enterprise data sources to design solutions that deliver reliable performance and reasonable cost. Use tools such as GitHub Copilot to assist with query optimization and Azure DevOps MCP Server to validate data lineage and dependencies within project repositories.
- Design processing steps and recommend system solutions based on user requirements, ensuring clarity and scalability.
Develop specifications and workflow (25%)- Prepare software specifications, flow charts, and process diagrams for software programmers to follow. Use GitHub Copilot to generate code templates and automate systems documentation such as design specifications, user manuals, technical manuals, descriptions of application operations, and methodology documentation.
- Analyze feasibility using commercially available software systems (e.g., Microsoft Azure versus Amazon Web Services) and reporting systems (e.g., Power BI versus Tableau).
Analyze and verify implementation (25%) - Collaborate with systems analysts and programmers to develop data migration tools and define operational workflows for new systems.
- Work with software developers to use GitHub Copilot for accelerating code development.
- Set up the test environment, use GitHub Copilot to generate test cases, and use Playwright MCP to automate testing and compare data from multiple sources to verify reports for end users.
Review implementation status and reporting (10%) - Participate in technical collaboration meetings and periodical reviews of implementation status.
- Report weekly task plan to the project management team for implementation of custom software.
Training and certifications (10%) - Participate in technical training and complete relevant industry courses and certifications.
QualificationsUndergraduate or graduate degree in Computer Science, Information Systems, Applied Computational Math Sciences, or related engineering discipline.
Benefits- Annual salary range depends on education and experience.
- Comprehensive medical, dental and vision insurance with employee premiums paid in full.
- 401(k) retirement plan with 3% company match and immediate vesting
- Paid time off (three weeks)
