Data Engineering Intern
1 week ago
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
This role is onsite based out of Toronto, Ontario.
We're building a world-class data platform at Tenstorrent, and we're looking for a Data Engineering Intern to help lead the charge. This role is all about building reliable pipelines, shaping data architecture, and enabling teams across the company to make smarter, faster decisions.
Who You Are
- Strong Python and SQL skills, with experience in relational databases.
- Comfortable working with Airflow, Terraform, and AWS (S3, EC2, Lambda, etc.).
- Focused on automation, quality, and self-serve data experiences.
- Confident navigating ambiguous, greenfield projects in a fast-moving environment.
What We Need
- Currently enrolled in a bachelors degree, or a masters or doctorate program in Data Science, Computer Science, Software Engineering, Computer Engineering, Engineering Science or a related field.
- Build scalable batch and streaming pipelines end-to-end.
- Partner with teams to translate messy inputs into trusted, analytics-ready data.
- Champion best practices in automation, monitoring, and infrastructure as code.
- Help evolve our hybrid-cloud data platform and tools.
What You Will Learn
- How to scale a modern data stack built for speed, flexibility, and impact.
- How to drive alignment between data engineering and business needs.
- New tools in data orchestration, monitoring, and cloud infrastructure.
- What it means to treat data as a product in a high-growth company.
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