Data Engineer
Core
Design and implement scalable data pipelines, databases, and software solutions to drive operational efficiency and support clinical/regulatory decision-making.
Role type
Mid-level Data Engineer
Builds
Cloud-based data infrastructure, data pipelines, and internal applications
Domain
Life sciences / Healthcare / Data Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, Cloud platforms (AWS/GCP/Azure), CI/CD tools, Database management, Software development
Preferred skills
Machine learning pipelines, Generative AI/LLM frameworks, Distributed computing (Spark/Dask), Healthcare domain knowledge
Technologies
Python, SQL, AWS, GitLab, GitHub Actions, Spark, Dask, Langchain, LangGraph
Responsibilities
Design and implement data pipelines and software solutions; Analyze business requirements and translate needs into technical solutions; Write clean, maintainable code; Support and optimize cloud-based data infrastructure; Develop and modify databases; Collaborate with operations and product teams for deployment and maintenance; Troubleshoot production issues
Seniority
Mid-level, hands-on IC
