Data Engineer, Health Tech - Pipelines & APIs

Biointellisense Inc.; New York (NY); On-site; USD 75,000 - 80,000; Full time

Job summary

BioIntelliSense is hiring a Data Engineer to join the Data Engineering team in New York. You will build and maintain data pipelines on the Databricks platform, work with Python and SQL, and collaborate with clinical applications, cloud infrastructure, and data science teams to support internal dashboards and external-facing applications.

You will develop scalable data pipelines, REST APIs, and ETL/ELT processes to transform diverse clinical data and ensure data quality for reporting.

Qualifications

• Bachelor’s degree in Computer Science or Engineering is required.
• Solid knowledge of Python and SQL with ability to perform joins and data aggregation.
• Strong written and oral communication skills; able to work independently and with cross-functional teams.
• Familiarity with cloud platforms and data pipelines is a plus.

Responsibilities

• Develop and maintain data pipelines and cloud-native applications.
• Create scalable REST APIs and web applications for clinical workflows and internal tools.
• Design and maintain automated ETL/ELT pipelines to ingest and transform clinical data.
• Implement data validation and quality checks for reliability in workflows and reporting.
• Collaborate with a technical lead and cross-functional teams to streamline operations and deliver business value.
• Participate in on-call rotation to ensure high service availability.
• Apply software development best practices to bring products to deployment.

Skills

Python

SQL

Communication

Teamwork

Education

Bachelor’s degree in Computer Science or Engineering

Tools

Databricks

AWS

Terraform

CI/CD

Job description

BioIntelliSense is hiring a Data Engineer to join the Data Engineering team in New York. You will build and maintain data pipelines on the Databricks platform, work with Python and SQL, and collaborate with clinical applications, cloud infrastructure, and data science teams to support internal dashboards and external-facing applications.

You will develop scalable data pipelines, REST APIs, and ETL/ELT processes to transform diverse clinical data and ensure data quality for reporting.