Overview In this role you help clients scale AI-enabled decision-making by delivering Palantir-powered solutions. You work with cross-functional teams to translate client goals into concrete deployment plans and production-grade data pipelines. You'll iterate quickly from prototype to scale, delivering measurable improvements in operations. This position combines hands-on engineering with stakeholder communication to drive client value in complex environments.
Compensation / Benefits- medical
- dental
- vision
- life
- long-term disability
- 401(k) plan
Responsibilities- Collaborate with engineers, program managers, and domain experts to design, build, and support client-facing apps
- Translate objectives into delivery plans by gathering requirements and mapping data/workflows to a scalable roadmap
- Prototype and iterate rapidly, validating with users and refining based on operational results
- Deliver production-grade pipelines and applications that convert data into actionable workflows and decision support
- Communicate progress and trade-offs to technical and non-technical stakeholders and drive releases
Key requirements- Minimum 5 years hands-on data engineering (ETL/ELT, data warehousing, large-scale data integration)
- Minimum 3 years with Palantir Foundry building data pipelines and deploying apps
- Minimum 3 years in prompt engineering and applied AI with Palantir (AIP, model deployment, feature engineering)
- Minimum 5 years experience with AWS, Azure, or GCP
- Minimum 5 years programming in Python or PySpark or Java
- Bachelor's degree in Computer Science, Engineering, or equivalent (minimum 12 years) work experience
- Client success mindset
- Structured problem solving
- Bias for ownership
- Python
- TypeScript
- Palantir Foundry
