Harnham
Staff Data Engineer - Data Platform
Harnham, Palo Alto, California, United States, 94301
Staff Data Engineer - Data PlatformTechnologyPalo Alto (Hybrid)$180,000 - $210,000 + Equity
About the Company:Our client, a cutting-edge healthcare AI company, is on a mission to transform unstructured clinical data into structured, actionable insights using Generative AI. Theyare looking for a Staff Data Engineer to join their team.
The Opportunity:This role is a unique opportunity to join a fast-growing AI company focused on healthcare innovation. As the Staff Data Engineer, you will be responsible for leading the architecture and development of the platform, with an emphasis on reliability, scalability, and security. Reporting to the VP of AI Platform Infrastructure, you’ll collaborate with machine learning engineers and scientists to optimize the backend services that power AI-driven applications. You’ll take ownership of the platform as a product, ensuring it runs efficiently, while also helping to expand the team as the company continues to grow.
Key Responsibilities:Lead the design and architecture of the platform, ensuring it scales effectively and remains secure.Spend 75% of your time writing and reviewing code in Python, ensuring code quality and performance.Work closely with machine learning teams to enhance backend services and streamline deployment.Troubleshoot platform issues, with a focus on monitoring, streaming, and authentication challenges.Drive the development of tools that verify the accuracy of AI-generated insights against clinical standards.Help hire and mentor additional team members to expand the engineering team.Build a unified platform for monitoring AI applications and measuring their clinical impact.
Ideal Candidate Profile:Deep experience in backend development with Python, including building scalable, reliable platforms.Strong expertise with cloud infrastructure (GCP preferred, AWS or Azure also acceptable).Proficiency with Terraform, Kubernetes, and containerization technologies.Familiarity with healthcare data standards like FHIR is a strong plus.Experience with Generative AI, vector databases (Pinecone, Llama Index), and large language models (LLMs).Proven ability to take ownership of a platform and treat it as a product that requires continuous improvement.Strong problem-solving skills and the ability to work collaboratively with cross-functional teams.
Compensation & Benefits:This position offers a base salary ranging from $180,000 to $210,000 plus equity along with equity health, dental, and vision benefits.
Key Words:Technical Lead, Python, GCP, Terraform, Kubernetes, Generative AI, Vector Databases, LLMs, Backend Engineering, Healthcare AI, FHIR
About the Company:Our client, a cutting-edge healthcare AI company, is on a mission to transform unstructured clinical data into structured, actionable insights using Generative AI. Theyare looking for a Staff Data Engineer to join their team.
The Opportunity:This role is a unique opportunity to join a fast-growing AI company focused on healthcare innovation. As the Staff Data Engineer, you will be responsible for leading the architecture and development of the platform, with an emphasis on reliability, scalability, and security. Reporting to the VP of AI Platform Infrastructure, you’ll collaborate with machine learning engineers and scientists to optimize the backend services that power AI-driven applications. You’ll take ownership of the platform as a product, ensuring it runs efficiently, while also helping to expand the team as the company continues to grow.
Key Responsibilities:Lead the design and architecture of the platform, ensuring it scales effectively and remains secure.Spend 75% of your time writing and reviewing code in Python, ensuring code quality and performance.Work closely with machine learning teams to enhance backend services and streamline deployment.Troubleshoot platform issues, with a focus on monitoring, streaming, and authentication challenges.Drive the development of tools that verify the accuracy of AI-generated insights against clinical standards.Help hire and mentor additional team members to expand the engineering team.Build a unified platform for monitoring AI applications and measuring their clinical impact.
Ideal Candidate Profile:Deep experience in backend development with Python, including building scalable, reliable platforms.Strong expertise with cloud infrastructure (GCP preferred, AWS or Azure also acceptable).Proficiency with Terraform, Kubernetes, and containerization technologies.Familiarity with healthcare data standards like FHIR is a strong plus.Experience with Generative AI, vector databases (Pinecone, Llama Index), and large language models (LLMs).Proven ability to take ownership of a platform and treat it as a product that requires continuous improvement.Strong problem-solving skills and the ability to work collaboratively with cross-functional teams.
Compensation & Benefits:This position offers a base salary ranging from $180,000 to $210,000 plus equity along with equity health, dental, and vision benefits.
Key Words:Technical Lead, Python, GCP, Terraform, Kubernetes, Generative AI, Vector Databases, LLMs, Backend Engineering, Healthcare AI, FHIR