Full Stack Data Engineer

Remote; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

BioIntelliSense is seeking a Data Engineer to help build and maintain our data platform, enabling internal and external analytics for RPM and screening. You’ll work with Python on Databricks and AWS to deliver scalable data pipelines and APIs that support clinical workflows.

You’ll collaborate with clinical applications, cloud infrastructure, data science, and product teams to implement robust ETL/ELT processes, ensure data quality, and accelerate deployment.

Qualifications

• Bachelor’s degree in Computer Science or Engineering is required.
• Experience developing software applications, including internships or academic projects.
• Strong written and oral communication skills.
• Able to work independently and collaboratively with the ability to interpret abstract instructions.
• Willingness to learn and contribute to product improvements.
• Solid knowledge of Python.
• Solid understanding of SQL fundamentals, including joins and aggregations.

Responsibilities

• Develop and implement data pipelines and cloud-native applications using Python on Databricks and AWS.
• Create scalable REST APIs and web apps to support clinical workflows and internal tools.
• Design and maintain ETL/ELT pipelines to ingest, clean, and transform clinical data.
• Implement data validation and quality checks for accuracy in workflows and reporting.
• Collaborate with technical leads, product, and cross-functional teams to streamline operations and generate value.
• Participate in engineering on-call rotation for high service availability.
• Apply software development best practices from requirements to deployment.
• Support career growth through ongoing learning and project opportunities.

Skills

Python

SQL

Data pipelines

REST APIs

Communication skills

Education

Bachelor's degree in Computer Science or Engineering

Tools

Databricks

AWS

Terraform

CI/CD pipelines

GCP

Job description

BioIntelliSense Overview

BioIntelliSense is ushering in a new era of continuous health monitoring and clinical intelligence for Remote Patient Monitoring (RPM) and Screening (COVID-19/Infection). Our medical-grade Data-as-a-Service (DaaS) platform seamlessly captures multi-parameter vital signs, physiological biometrics and symptomatic events through an effortless patient experience. The FDA-cleared BioSticker™ and BioButton™ devices make remote monitoring and early detection simple. Through the platform’s advanced analytics, clinicians, patients, and employers will now have access to high-resolution patient trending and reporting to enable medical grade care at home, and medical grade screening in the office, school, or residence. For more information on how BioIntelliSense is redefining remote patient monitoring through medical-grade and cost-effective data services, please visit our website at BioIntelliSense.com.

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.