Transform data at Hive as a Senior Data Engineer, specializing in cloud-native platforms and machine learning infrastructure. Work remotely to impact millions through advanced data systems.
As part of Hive's R&D; Data team, you'll own the design and functionality of our data platform, crucial for enhancing user engagement at iconic events. Your role combines deep data engineering and machine learning skills, ensuring reliable data access and supporting impactful decision-making. Engage directly with metrics affecting customer satisfaction and product performance.
Key Responsibilities:
• Design and build a scalable cloud-native data platform
• Develop infrastructure for machine learning models and pipelines




• Own the full data pipeline from capture to transformation
• Treat data as a product with defined SLAs and health)
• Leverage agentic systems for audience data processing
Requirements:
• 8+ years of data engineering experience
• Robust foundations in ML and distributed systems
• Expertise in Python, Django, and data stores
• Familiarity with MLOps practices
• Experience with LLMs in production
Bring your expertise in data systems to shape Hive's future impact on event marketing.
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📌 Senior Data Engineer at Hive (Toronto)
🏢 Hive.co
📍 Toronto