Job Description Python Developer – Digital Health AI Platform About the Role The Python Developer will play a key role in building the data and AI infrastructure behind a national Canadian digital‑health initiative. This project focuses on developing an AI‑powered health information chatbot that helps people access clear, reliable, and easy‑to‑understand health guidance. You’ll contribute to the systems that ensure data quality, model reliability, and safe, compliant delivery of health information. This role is ideal for someone who enjoys building robust backend systems, working with data pipelines, and collaborating closely with AI engineers. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Key Responsibilities Develop scalable backend services, data workflows, and automation tools using Python Build and maintain ETL/ELT pipelines, including scheduling and orchestration Work with AI engineers to support model training, evaluation, and deployment Implement data validation, quality checks, and monitoring frameworks Integrate internal and external data sources into secure processing pipelines Ensure compliance with Canadian health‑data privacy and security standards Optimize performance of data processing and backend systems Participate in code reviews, architecture discussions, and sprint planning Qualifications Strong professional experience with Python (backend development or data engineering) Experience with workflow orchestration tools such as Airflow Solid understanding of ETL/ELT concepts, data modeling, and data quality practices Proficiency with SQL and working with structured/unstructured datasets Experience building APIs, microservices, or backend components is an asset Familiarity with cloud platforms (AWS, GCP, Azure) Understanding of secure data‑handling practices, ideally in regulated environments Strong problem‑solving skills and ability to collaborate across engineering teams