Role Description
Job Description: Own end-to-end delivery of healthcare implementations on Palantir
*
- Integrate and standardize healthcare data across multiple sources, designing robust pipelines and data products that are reliable at scale.
- Prototype quickly based on Business requirement and iterate based on real-world clinical feedback
- Deploy production systems used in live healthcare environments
- Debug and support systems across data, backend, and application layers
- Ensure compliance with healthcare privacy and security requirements (HIPAA-aligned)
Responsibilities: Responsibilities
Own end-to-end delivery of healthcare implementations on Palantir
*
* Integrate and standardize healthcare data across multiple sources, designing robust pipelines and data products that are reliable at scale. * Prototype quickly based on Business requirement and iterate based on real-world clinical feedback * Deploy production systems used in live healthcare environments * Debug and support systems across data, backend, and application layers Ensure compliance with healthcare privacy and security requirements (HIPAA-aligned) *
Minimum Qualifications
- Strong software engineering background (Python, Java, C++, or similar)
- Implementation experience with Palantir Foundry and AIP
- Experience building production systems or complex applications
- Ability to work across full-stack systems integrating Data, Backend and Workflows
- Strong problem-solving in ambiguous environments
- Comfort working directly with non-technical healthcare stakeholders
* Qualifications: Experience in healthcare technology or regulated environments * Familiarity with HL7, FHIR, or EHR systems * Strong experience with APIs, data integration, or distributed systems Strong communication skills across clinical and technical teams *
The base salary for this position goes up to $170k based on skills and experience
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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