Drive innovation in data engineering at Hive.co as a Lead Data Engineer, focusing on scalable platforms and machine learning solutions. Enjoy a fully remote work environment. In this leadership role within Hive's R&D; Data team, you’ll be responsible for constructing and optimizing our data platform that enables effective marketing strategies for major North American events.

Your experience in large-scale data systems will guide the development of infrastructure that provides high-quality insights. This position is pivotal as it bridges technical excellence and business impact in a rapid-paced setting. Key Responsibilities:

- Architect and scale our cloud-native data platform
- Implement ML infrastructure from experimentation to production




- Manage end-to-end data processing and business metric alignment
- Deliver data products with strong operational standards
- Develop agentic systems for automated data processing Requirements:
- 8+ years of data engineering expertise required
- Solid grasp of ML engineering concepts and practices
- Proficiency with Python, Django, and various data stores
- Familiar with distributed systems and MLOps
- Track record of LLM or agentic systems application Bring your extensive data engineering experience to transform Hive's capabilities and customer engagement.

📌 Lead Data Engineer Role at Hive.co (Toronto)
🏢 Hive.co
📍 Toronto