Complete an AI-powered simulation and receive a verifiable proof-of-skills report.PocketHealth is a patient-centric platform that enables hospitals and clinics across North America to share imaging records digitally with patients, instantly and securely. Through our platform, we enable patients to be active and engaged participants in their own care, and take control of their care journey. PocketHealth is a unified image management solution for over 800 hospitals and clinics across North America.

We believe that by placing patients at the center of the record release process, data moves more ethically, easily and securely throughout the care journey, and we’re looking for passionate individuals to help make this vision a reality for millions more patients across North America.As a Data Engineer, you will help build and maintain the data infrastructure that powers our data-driven solutions, ultimately enhancing the healthcare experience for millions of patients and healthcare providers. You’ll work closely with our Senior Data Engineer and cross-functional partners, with direct mentorship and opportunities to develop your skills across the full data engineering lifecycle. If you're excited about the intersection of data engineering and machine learning, this role offers a explicit path to grow in that direction.

Ideal candidates will possess a high degree of user empathy and a focus on the quality and speed of our product. this role is also eligible for equity in the form of stock options and includes a comprehensive health and benefits package. 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.### 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.Exposure to Databricks or similar modern data platforms.Practical exposure to machine learning concepts such as model training, feature engineering,



or evaluation.You can positively impact the healthcare journey for millions of people, while building your career and developing your skills. It doesn’t have to be one or the other.

It has been a part of our mission since our founding to empower patients & make healthcare accessible to all, and we know this can only be achieved with a team of diverse perspectives that is representative of the Patient & Provider communities we serve.People love working here for these reasons and more: working remotely, our competitive salaries and perks (including stock options for every employee!), four weeks of paid time off, unlimited paid wellness days, extended mental health coverage, and 16 weeks of parental leave top-up.We’re proud to foster a culture that embraces diversity, equity, and inclusion, and we believe in caring for our employees with the same thoughtfulness we offer our Patients & Providers.If there are ways we can support you through the recruitment process with an accommodation, please let us know by reaching out to [email protected] may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. If you would like more information about how your data is processed, please contact us.CyberSeek (2025) reports that the average cybersecurity job listing requires 12 distinct technical skills — this listing requires 5.### Readiness match will appear here soon## How to Become a Data Engineer — Country Readiness GuidesSee full readiness pathways, certifications, ESCO-O*NET analysis, and visa requirements for this role by country.###

📌 Data Engineer - SQL / Snowflake (Winnipeg)
🏢 Talantir
📍 Winnipeg