Remote Data Engineer - Healthcare Analytics & ML

Talantir; Canada; Remote; CAD 140.000 - 182.000; Vollzeit

Benefits dieser Stelle

Stock options

Four weeks paid time off

Unlimited wellness days

Extended mental health coverage

Parental leave top-up

Zusammenfassung

PocketHealth is re-imagining patient-centric imaging data sharing across North America. We’re hiring a Data Engineer to build and maintain data infrastructure powering analytics, with exposure to ML workflows and a Databricks-based platform.

You’ll collaborate with cross-functional teams and contribute to scalable data solutions that improve patient care. You’ll work with Python, SQL, and modern data tools, supporting ingestion, transformation, storage, and consumption of healthcare data.

Qualifikationen

• Strong fundamentals in Python and SQL.
• Hands-on experience with structured data in internships or early-career roles.
• Collaborative mindset and good communication in fast-paced environments.

Aufgaben

• Build and maintain data models and transformation workflows for analytics and product use cases.
• Support data pipelines and systems to process and analyze healthcare data across the lifecycle.
• Transform, validate, and troubleshoot data using Python and SQL across the platform.
• Contribute to a Databricks-based analytics platform and improve dataset quality and docs.
• Collaborate with cross-functional teams to inform the data infrastructure roadmap.
• Gain exposure to ML workflows from data prep to model training, with room to grow.

Kenntnisse

Python

SQL

Ausbildung

Bachelor’s degree in Software Engineering or Computer Science

Tools

Databricks

Jobbeschreibung

PocketHealth is re-imagining patient-centric imaging data sharing across North America. We’re hiring a Data Engineer to build and maintain data infrastructure powering analytics, with exposure to ML workflows and a Databricks-based platform.

You’ll collaborate with cross-functional teams and contribute to scalable data solutions that improve patient care. You’ll work with Python, SQL, and modern data tools, supporting ingestion, transformation, storage, and consumption of healthcare data.