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.
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📌 Senior Data Engineer at Hive (British Columbia)
🏢 Hive.co
📍 British Columbia