Software & Analytics Engineer

MetroSys, Inc.; United States; On-site; USD 100,000 - 130,000; Full time

Job summary

MetroSys, Inc. is seeking a highly skilled Software & Analytics Engineer to design, develop, and support data-driven applications and analytical platforms. The role emphasizes the creation of scalable software solutions using Python and involves building data pipelines and optimizing SQL queries. Ideal candidates have over 5 years of experience in software engineering and strong knowledge in analytical application design. Collaboration with stakeholders is key to translate analytical requirements into effective solutions.

Qualifications

• 5+ years of experience in software engineering or application development.
• Strong expertise in Python development.
• Experience building data-driven or analytical applications.

Responsibilities

• Design and maintain Python-based analytical applications.
• Build and support data pipelines and workflows.
• Develop and optimize SQL queries for performance.

Skills

Python development

Data engineering

Analytical application design

SQL

Data pipelines and workflows

Problem-solving

Version control

Tools

Flask

FastAPI

Dash

Streamlit

Data visualization tools

Job 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