MetroSys

Compensation

Full Description

Position Overview MetroSys is seeking a highly skilled Software & Analytics Engineer to design, develop, and support data-driven applications and analytical platforms that enable advanced decision-making and operational insights. This role focuses on building scalable, secure, and user-friendly software solutions that transform complex data into actionable intelligence. The ideal candidate is a hands-on engineer with strong experience in Python development, data engineering, and analytical application design, capable of working closely with stakeholders to translate business and analytical requirements into production-ready solutions. Key Responsibilities Design, develop, and maintain Python-based analytical applications supporting reporting, planning, and decision-making Build and support data pipelines and workflows, including ingestion, transformation, validation, and integration Develop and optimize SQL queries, database schemas, and data access patterns for performance and scalability Create user-facing dashboards, visualizations, and analytical interfaces to enable data exploration and insight generation Translate complex analytical requirements into scalable, maintainable software solutions Implement best practices in software development, including version control, testing, and code reviews Support application lifecycle management, including enhancements, troubleshooting, and performance optimization Collaborate with technical teams and stakeholders to define requirements and deliver high-quality solutions Ensure secure development practices and proper handling of data and application dependencies Document application architecture, workflows, and operational processes Required Qualifications 5+ years of experience in software engineering or application development Strong expertise in Python development Experience building data-driven or analytical applications, including dashboards and interactive tools Strong knowledge of: SQL and relational databases Data pipelines and processing workflows Application architecture and design principles Experience with modern frameworks and tools (e.g., Flask, FastAPI, Dash, Streamlit, or similar) Familiarity with version control, CI/CD pipelines, and automated testing Strong problem-solving skills and ability to work in fast-paced, collaborative environments Excellent communication and documentation skills Preferred Skills Experience with data visualization tools and libraries (Plotly, Dash, etc.) Familiarity with cloud platforms or modern data platforms Experience supporting decision-support or analytical systems Exposure to simulation modeling or scenario-based analysis Experience in client-facing or consulting environments