Senior Software Engineer

Data Analysis Inc.-posted 4 days ago
Full-time • Senior
Plano, TX
101-250 employees
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We are seeking a Senior SQL Software Engineer to lead the architecture, development, and optimization of SQL-driven systems that power our mission-critical applications. This role extends beyond writing queries—it's about setting engineering standards, guiding team members, shaping database architecture, and accelerating delivery through CI/CD, automation, and AI-assisted tooling.

  • Design, build, and optimize SQL Server solutions, including stored procedures, SSIS packages, and database schemas.
  • Lead performance tuning efforts, conduct root-cause analysis, and drive improvements across SQL systems.
  • Collaborate closely with business stakeholders, QA, and infrastructure teams to define requirements and deliver complete technical solutions.
  • Implement and enhance CI/CD pipelines for SQL deployments using GitLab or comparable platforms.
  • Use tools such as VS Code, SSMS, and Visual Studio to develop, debug, and scale solutions.
  • Enforce Git best practices—including feature branching and pull requests—and perform peer code reviews.
  • Mentor junior engineers and foster strong documentation and knowledge-sharing practices.
  • Champion AI-powered development tools (e.g., Copilot, ChatGPT) to improve efficiency, automate workflows, and elevate code quality.
  • 4–6+ years of professional experience with SQL Server, T-SQL, SSIS, and stored procedure development.
  • Bachelor’s degree in Computer Science, Information Systems, or related field, or equivalent professional experience.
  • Strong communication skills with demonstrated leadership and mentoring experience.
  • SQL Server, T-SQL, SSIS, stored procedures, user-defined functions, linked servers, synonyms, ASP.NET, C#, .NET Framework/.NET Core, Python, Web API development, Entity Framework, Git/GitLab, VS Code, Visual Studio, Postman, CI/CD pipelines, unit testing frameworks (xUnit, pytest), and familiarity with Azure or AWS.
  • Experience with cloud data platforms (Azure SQL, AWS RDS, etc.).
  • Background in relational modeling, OLTP systems, or BI/reporting infrastructures.
  • Familiarity with data privacy regulations such as HIPAA or GDPR.
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