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 (Edmonton)
🏢 Hive.co
📍 Edmonton