Senior Data Engineer at Hive
Hive.co
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 • Strong 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. #J-18808-Ljbffr
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 • Strong 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. #J-18808-Ljbffr
Reference: WJ-3875_13977060