Data Engineer

Join a Fast-Growing Private Equity Firm Driving Innovation in Healthcare Financing Industry Our client is a dynamic, rapidly expanding firm specializing in Healthcare Financing Industry, where they are transforming the landscape with cutting-edge solutions and strategic growth initiatives. We are seeking a highly motivated and skilled Data Engineer with 3-5 years of experience in building ETL systems using Python. In this role, you will be part of a collaborative team, working closely with cross-functional departments to ensure smooth technical onboarding of clients, resolve bugs, and create comprehensive technical documentation. Key Responsibilities: Develop, maintain, and enhance ETL systems, primarily using Python. Manage and troubleshoot our Django PostgreSQL Celery-based applications. Deploy and manage applications in a Docker-based, on-premises environment. Collaborate with the team to deliver technical onboarding of clients, ensuring seamless integration and technical support. Write and maintain high-quality technical documentation, including user guides, process documentation, and internal engineering documents. Handle bug reports and work proactively with internal teams to ensure timely resolution. Provide technical insights and contribute to the improvement of engineering practices. Required Skills and Qualifications: 3-5 years of experience in software development or data engineering with a focus on Python-based ETL pipelines. Proficiency with Django, PostgreSQL, Celery, and Docker. Familiarity with managing and maintaining on-premises infrastructure. Strong problem-solving skills, with a proactive and collaborative mindset. Experience writing technical documentation and communicating complex technical details in an understandable manner. Ability to manage multiple tasks and priorities in a fast-paced environment. Excellent communication skills for client-facing interactions, including technical onboarding. Detail-oriented and able to debug, troubleshoot, and resolve technical issues effectively. Preferred Qualifications: Experience working in a hybrid or on-premises environment. Familiarity with DevOps practices and automation. Experience in handling technical client onboarding or customer-facing support in a technical capacity. Location : Toronto, ON (Hybrid - Minimum 2 days per week in office) Position Type : Full-time (Contract) Multiple roles available If you're a high-caliber professional ready to take your career to the next level, apply today.