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PocketHealth

Data Engineer

PocketHealth

. Build and maintain data models and transformation workflows that support analytics, reporting, and product use cases.

Posted 4/23/2026full-timeRemote • 🇨🇦 CanadaJuniorMid-LevelWebsite

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Build and maintain data models and transformation workflows that support analytics, reporting, and product use cases.
  • Support the development and improvement of data pipelines and systems to process and analyze healthcare data, gaining experience across the full data engineering lifecycle from ingestion and transformation to storage and consumption.
  • Work with Python and SQL to transform, validate, and troubleshoot data across our platform.
  • Contribute to our Databricks-based analytics platform and help improve the usability, quality, and documentation of our datasets.
  • Collaborate with cross-functional teams to understand their data needs and contribute to our data infrastructure roadmap.
  • Gain hands-on exposure to machine learning workflows - from data preparation and feature engineering to model training - with room to grow deeper as the team and your skills evolve.

Requirements

What you’ll need
  • 1–2 years of engineering experience in data engineering, analytics engineering, software engineering, or a related field, including strong internship or co-op experience.
  • Bachelor’s degree in Software Engineering, Computer Science, or a related field, or equivalent practical experience.
  • Strong fundamentals in Python and SQL.
  • Hands-on experience working with structured data in an internship, research, academic, or early-career industry setting.
  • Strong problem-solving skills and attention to detail, with a focus on delivering high-quality solutions.
  • A collaborative mindset, strong communication skills, and eagerness to learn in a fast-paced environment.

Benefits

Comp & perks
  • working remotely
  • competitive salaries and benefits (including stock options for every employee!)
  • four weeks of paid time off
  • unlimited paid wellness days
  • extended mental health coverage
  • 16 weeks of parental leave top-up

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
PythonSQLdata modelingdata transformationdata pipelinesdata engineeringmachine learningfeature engineeringmodel trainingdata validation
Soft Skills
problem-solvingattention to detailcollaborationcommunicationeagerness to learn