Full-Stack Data Engineer — Python, Databricks & Cloud

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 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.