Elevate your career with Hive as a Senior Data Engineer focused on advancing our data platforms. This fully remote role requires expertise in cloud-native systems and machine learning infrastructure. Hive's R&D; Data team is seeking an experienced engineer who builds and maintains high-performance data solutions. The ideal candidate will design cloud-native architectures for handling massive audience data while ensuring reliable machine learning access.

Your role will significantly influence product speed, data reliability, and leadership decision-making through properly managed data. Key Responsibilities:
Design a cloud-native big data platform for audience insights
Build ML infrastructure for smooth model deployment and monitoring




Manage end-to-end data pipelines with business impact awareness
Deliver data products with defined SLAs for internal and customer use
Implement AI coding agents and LLM-powered systems for data processing Requirements:
8+ years in data engineering, focusing on large-scale systems
Robust fundamentals in machine learning concepts and algorithms
Proficiency in Python and relevant ML tooling
Experience in applying MLOps practices
Knowledge of distributed systems principles and real-time data handling Contribute to Hive’s mission by shaping our data and ML infrastructure with your expertise.

📌 Senior Data Engineer At Hive Kitchener (Canada)
🏢 Hive.co
📍 Canada