Summary

The Data Engineering team plays a pivotal role in creating, maintaining and developing BioIntelliSense's data platform for both internal and external facing applications. The team focuses on enterprise data management and data accuracy to support internal operations, R&D teams as well as external operational metrics dashboards. In this role, you will have the opportunity to collaborate with cross-functional teams such as clinical applications, cloud infrastructure, sustaining, and data science, building your analytical mindset and the ability to communicate system-level relationships clearly. You will work primarily with the Python tech stack on Databricks and AWS. Your contributions will have a meaningful impact in BioIntelliSense's mission to improve patient care around the world.

Job description

About the Role

The Data Engineering team plays a pivotal role in creating, maintaining and developing BioIntelliSense's data platform for both internal and external facing applications. The team focuses on enterprise data management and data accuracy to support internal operations, R&D teams as well as external operational metrics dashboards. In this role, you will have the opportunity to collaborate with cross-functional teams such as clinical applications, cloud infrastructure, sustaining, and data science, building your analytical mindset and the ability to communicate system-level relationships clearly. You will work primarily with the Python tech stack on Databricks and AWS. Your contributions will have a meaningful impact in BioIntelliSense's mission to improve patient care around the world.

The role will:

Apply strong computer science fundamentals to develop and implement data pipelines and cloud-native applications.
Create highly scalable REST APIs and web applications to support clinical workflows and internal tools.
Design and maintain automated ETL/ELT pipelines to ingest, clean, and transform clinical data from various sources into our internal data environment.
Implement data validation and quality checks to ensure accuracy and reliability in clinical workflows and reporting.
Collaborate with a technical lead, product, and cross-functional teams to implement solutions that will continue to streamline internal operations as well as generate commercial value.
Participate in the engineering on-call rotation to ensure high service availability and uptime.
Apply software development best practices to bring product requirements to commercial deployment.
Allow advancement in career growth tailored to individual goals.

Requirements

Bachelor's degree in Computer Science or Engineering.
Experience developing software applications, including internships or academic projects.
Strong written and oral communication skills.
Able to work both independently and collaboratively, with a strong capacity to interpret and execute abstract instructions.
Willingness to learn and contribute to product improvements.
Solid knowledge of Python.
Solid understanding of SQL fundamentals, including the ability to perform joins and aggregate data from relational databases.

Preferred

Familiarity with cloud platforms: AWS/GCP.
Familiarity with ETL/ELT pipelines, data transformations and platforms such as Databricks.
Familiarity with Terraform and CI/CD pipelines.

Requirements

Bachelor's degree in Computer Science or Engineering
Experience developing software applications, including internships or academic projects
Strong written and oral communication skills
Able to work both independently and collaboratively
Strong capacity to interpret and execute abstract instructions
Willingness to learn and contribute to product improvements
Solid knowledge of Python
Solid understanding of SQL fundamentals, including joins and aggregate data from relational databases
Familiarity with cloud platforms: AWS/GCP
Familiarity with ETL/ELT pipelines, data transformations and platforms such as Databricks
Familiarity with Terraform and CI/CD pipelines

Company overview

Biointellisense is a pioneering medical technology company specializing in advanced remote patient monitoring solutions. The company develops innovative wearable medical devices and digital health platforms that enable continuous, clinical-grade monitoring of vital signs and physiological data. Biointellisense's technology focuses on providing comprehensive health insights through multi-parameter monitoring systems that track temperature, respiratory rate, heart rate, and other critical biomarkers. Their solutions are designed to support healthcare providers in delivering proactive care, particularly for patients with chronic conditions or those requiring post-acute monitoring. The company's platform integrates artificial intelligence and data analytics to transform raw physiological data into actionable clinical insights, facilitating early intervention and improved patient outcomes. Biointellisense represents the convergence of medical device innovation and digital health technology, addressing the growing need for remote patient monitoring in modern healthcare delivery systems.