Software Engineer IV

Key Responsibilities

• Design, develop, and deploy efficient Python scripts to parse, collect, and process large-scale web datasets.
• Build and optimize complex SQL queries that support data processing and analytics workflows.
• Develop clean, scalable, and high-performance software following established engineering standards.
• Participate in peer code reviews and contribute to continuous improvement of development practices.
• Diagnose, troubleshoot, and resolve software defects to ensure system reliability and performance.
• Create and maintain technical documentation to support long-term application sustainability.
• Collaborate with cross-functional teams and provide technical updates on project progress.
• Support the development and maintenance of data-processing pipelines and applications.

Requirements

• 6+ years of professional software engineering experience.
• Advanced proficiency in Python development.
• Strong experience working in Linux environments.
• Hands-on experience writing and maintaining shell scripts.
• Expertise in SQL query development and optimization.
• Experience contributing to large-scale software development projects.
• Strong analytical, problem-solving, and debugging capabilities.
• Demonstrated ability to work independently and in collaborative team environments.
• Excellent communication and stakeholder collaboration skills.

Preferred Qualifications

• Experience developing web scraping, data acquisition, or data ingestion solutions.
• Experience processing and managing large-scale datasets.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with DevOps practices and CI/CD methodologies.
• Exposure to infrastructure automation and deployment tools.
• Understanding of data analytics concepts.
• Foundational knowledge of machine learning applications.
• Previous experience working in high-scale technology environments.

Skills

• Python Development
• SQL Query Optimization
• Linux Administration
• Shell Scripting (Bash)
• Web Scraping & Data Collection
• Data Processing Pipelines
• Software Debugging & Troubleshooting
• Code Reviews & Engineering Best Practices
• Cloud Technologies (AWS, Azure, GCP)
• DevOps & CI/CD

Education

• Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline required.
• Master's degree in Computer Science or a related technical field preferred.