About the role

Aplyr's Quick Take

This Data Engineer role at PocketHealth focuses on building and maintaining data infrastructure to improve healthcare experiences. You'll work closely with a Senior Data Engineer and other teams, with opportunities for mentorship and skill development. It's primarily an individual contributor role with a strong emphasis on user empathy and product quality.

Good fit

Candidates with a background in data engineering and a passion for healthcare will thrive here. Ideally, you should have a few years of experience and be comfortable working in a collaborative, fast-paced environment.

Worth noting

The role offers a clear path towards machine learning, which may appeal to those looking to expand their skill set. Additionally, the compensation includes stock options and a comprehensive benefits package.

What if you could personally impact the future of healthcare? As part of the PocketHealth team, you will enable hospitals and clinics across North America — and more importantly, empower over 2 million patients — to discover a better healthcare experience.

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. In addition to image sharing, which is the heart of the PocketHealth platform, we’ve grown our core functionality to enable sharing between hospitals and physicians, as well as instant image retrieval and automated importing capability. 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 clear 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. Our patients simply can’t afford to wait!

This job posting is for an existing vacancy. The salary range for this position is $100,000 – $130,000 annually, depending on the experience and expertise you bring to the team. Salary is just one part of the story, though; this role is also eligible for equity in the form of stock options and includes a comprehensive health and benefits package. We view our compensation as a total investment in your well-being, designed to support you both in your work and in your life outside of it.

Skills & Tags

machine learning ai data product design

Aplyr's read

PocketHealth empowers patients with easy access to their medical imaging records, attracting tech-savvy professionals keen on transforming healthcare data accessibility.
Synthesized from recent postings & public sources

What's promising

•PocketHealth addresses a critical need for secure, patient-accessible medical imaging data.
•The company is growing, evident from recent hires in engineering and customer support.
•PocketHealth offers opportunities to work on impactful healthcare technology projects.

What to watch

•The niche focus on medical imaging may limit broader healthcare tech exposure.
•Limited public information about company culture and employee satisfaction.
•Potential challenges in scaling operations as demand for services grows.

Why PocketHealth

•PocketHealth specializes in secure, patient-centric medical imaging access.
•The platform enhances patient autonomy by simplifying medical data sharing.
•Focus on digital health innovation attracts professionals passionate about healthcare transformation.

Aplyr’s read is generated by AI from public sources. Was it useful?