Remote Senior Data Engineer: Data & ML Platform Lead

Hive; Canada; Hybrid; CAD 150,000 - 190,000; Full time

Benefits offered by this job

Equity

Remote work

Flexible hours

Health & dental

Parental leave

Unlimited vacation

Job summary

Hive is seeking a Senior Data Engineer to shape our data and ML infrastructure. You will own the data platform, build ML pipelines, and ensure low-latency access to features for production models.

You’ll work across engineering, data science, and product to deliver data products that power marketing for diverse events across North America. The role emphasizes an agentic approach, experimentation with AI tooling, and delivering data-driven outcomes while operating in a fast-paced, remote-friendly

Qualifications

• 8+ years in data engineering with large-scale production systems.

Responsibilities

• Design and own cloud-native data platform for millions of events.
• Build ML platform including feature stores and model serving.
• Develop end-to-end data pipelines from capture to denormalization.
• Apply MLOps to monitor drift and data quality in production.
• Collaborate with product and engineering to align data with business impact.

Skills

8+ years experience

Python

ML pipelines

MLOps

Data engineering

Distributed systems

LLMs/agentic systems

Cloud platforms

Stakeholder communication

Tools

Clickhouse

MySQL

MongoDB

Redshift

Airflow

Job description

Hive is seeking a Senior Data Engineer to shape our data and ML infrastructure. You will own the data platform, build ML pipelines, and ensure low-latency access to features for production models.

You’ll work across engineering, data science, and product to deliver data products that power marketing for diverse events across North America. The role emphasizes an agentic approach, experimentation with AI tooling, and delivering data-driven outcomes while operating in a fast-paced, remote-friendly