This is a 12-week internship during summer 2026.

As a Data Engineer Intern on the Strategy, Execution, & Analytics team, you'll collaborate closely with business partners in product and engineering to identify key opportunities and ensure accurate data interpretation. You'll also work with the analytics engineering team to build scalable analytics models and systems that broaden insights across the company and within our products. We're looking for someone who demonstrates clear communication, a strong drive to execute, and excellent craftsmanship.

What you’ll be doing (ie. job duties):

• Collaborate with analytics engineering to design and implement robust data pipelines, ensuring data integrity and accessibility for analytical and machine learning initiatives.
• Assist in the development and maintenance of scalable data infrastructure, leveraging Python and cloud-based technologies.
• Support senior engineers in integrating and managing data from various sources, including APIs.
• Contribute to the implementation of LLM frameworks, focusing on efficient data flow and state machines.
• Participate in analytical deep dives alongside senior team members to understand and address complex business problems, clearly communicating findings.
• Learn and apply best practices in data engineering, including data governance, security, and performance optimization.

What we look for in you (ie. job requirements):

• Experience or coursework in programming, preferably in Python, with a strong understanding of data structures and algorithms.
• Understanding of data analysis and database concepts, with experience using SQL.
• Familiarity with or strong interest in AI, LLMs, and API integrations.
• Understanding of software architecture principles and a keen interest in furthering this knowledge (in microservices, distributed systems, cloud-native design, etc.).
• An embodiment of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.

Nice to haves:

• Currently pursuing a degree or certificate in Computer Science, Data Engineering, or a related discipline.
• Exposure to cloud platforms (e.g., AWS, GCP, Azure).
• Eagerness to delve into complex data challenges and contribute to innovative solutions.

Job #: P73387