Data Platform Engineer

Are you ready to architect the future of data at Princeton IT Services? We are looking for a passionate and driven Data Platform Engineer to join our remote team in Canada and help us build, scale, and optimize a cutting-edge, cloud-native ecosystem. This is a unique opportunity for a talented early-career professional to gain hands-on experience with industry-leading tools like AWS and Snowflake while working on high-impact projects that transform raw information into actionable enterprise intelligence.

In this role, you will be at the heart of our technical operations, designing robust data pipelines and perfecting the art of ingestion, transformation, and orchestration. You will collaborate with a supportive team of experts to solve complex challenges in metadata management and data quality, ensuring our systems remain reliable, secure, and lightning-fast. If you are eager to sharpen your cloud engineering skills, thrive in a dynamic virtual environment, and contribute to a platform that powers critical business decisions, we want to hear from you.

Requirements

• Proficiency in at least one modern programming language (Python, JS, Java, etc.).
• Understanding of software development life cycles and version control (Git).
• Strong problem-solving skills and attention to technical detail.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus.
• Ability to work in an agile, fast-paced environment.
• Degree in Computer Science or equivalent practical experience.