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BioIntelliSense

Full Stack Data Engineer

United States (Remote)$75k–$80kfull timemidAdded today

About this role

Build and maintain scalable data pipelines and infrastructure supporting analytics and machine learning workflows. This role bridges frontend and backend data systems, requiring expertise across the full data stack from ingestion through visualization.

What you'll do

  • Design and implement data pipelines for collection, transformation, and loading
  • Develop backend services and APIs for data access and integration
  • Optimize database schemas and query performance
  • Build data visualization and reporting interfaces
  • Collaborate with analytics and ML teams on data requirements
  • Monitor, troubleshoot, and maintain production data systems

What they're looking for

  • Python or Java backend development
  • SQL and relational/NoSQL databases
  • Data pipeline tools (Airflow, Spark, or similar)
  • Cloud platforms (AWS, GCP, or Azure)
  • ETL/ELT processes
  • Frontend frameworks for dashboards (React, Vue)
  • Data warehousing concepts
  • Kubernetes or containerization
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BioIntelliSense

BioIntelliSense builds healthcare monitoring technology powered by cloud infrastructure and AI-driven systems. The company is hiring DevOps engineers to own infrastructure automation, observability, and deployment pipelines in a remote-first startup environment.

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Likely interview questions

  • Walk us through a complex data pipeline you've built—what were the bottlenecks and how did you optimize it?
  • How do you approach schema design when supporting both analytical and operational workloads?
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