Data Engineer

Overview

Data Engineer to build and maintain data pipelines that ingest and transform IoT and product data into a central data model for analytics, model training, and dashboards.

What you'll do

• Design and maintain data pipelines using SparkSQL and PySpark within the central data lake.
• Build highly reliable computed tables using multiple internal and external data sources.
• Ingest and transform source data from IoT devices and software products into the core data model.
• Access, manipulate, and integrate external datasets with internal data.
• Deliver high-quality data with uptime and reliability requirements, including customer-facing datasets.
• Collaborate with Data Science & Analytics, AI/ML, and other Data Engineers for data needs across analysis and model training.
• Use metrics to support translation of work into customer outcomes.

What you'll need

• 4+ years experience in a data engineering-focused role.
• BA/MS degree in Computer Science, Statistics, or a related discipline.
• Demonstrated experience designing data models at scale.
• Proficiency building ETL pipelines for large-volume data.
• Experience with Spark-based data platforms.
• Strong command of SQL, Python, and working with REST APIs.
• Experience with version control systems such as Git/GitHub.

Details

• Remote position open to candidates residing in Canada.
• Relocation assistance will not be provided.
• Employment is full-time.