This is a REMOTE contract position We are looking for a strong Python Developer to join our team and help design, develop, and enhance scalable data-driven applications and solutions. The ideal candidate will have deep hands-on experience with Python and SQL, with the ability to write clean, efficient code and work with complex datasets in a production environment.

Key Responsibilities

Design, develop, test, and maintain applications and data solutions using Python. Write complex SQL queries to extract, transform, analyze, and validate data. Build reliable, maintainable, and scalable backend components and data-processing workflows. Troubleshoot application, data, and performance issues and identify appropriate solutions. Participate in code reviews, testing, debugging, and technical design discussions. Work closely with engineering, data, product, and business teams to translate requirements into technical solutions. Follow strong software engineering practices around code quality, documentation, testing, version control, and deployment.

Required Qualifications

Strong professional development experience with Python. Advanced SQL skills, including experience working with complex queries and large datasets. Solid understanding of software development principles, data structures, APIs, and backend development. Experience developing production-quality, maintainable code. Experience with Git and modern software development practices. Strong analytical and problem-solving skills. Ability to communicate effectively with both technical and business stakeholders.

Preferred Qualifications

The following experience would be a strong plus but is not required: Google Cloud Platform (GCP), particularly experience working with cloud-based applications, data platforms, or services. Artificial Intelligence or Machine Learning development experience. Experience integrating AI/ML models or capabilities into production applications. Healthcare industry experience, particularly working with healthcare applications, data, or technology platforms. Experience working in cloud-based data engineering or analytics environments.