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iSpace, Inc.

Senior Software Engineer

North America

June 23, 2026 at 2:33 AM

✨ AI summary

Location

  • US Remote

Languages

  • Python
  • SQL
  • TypeScript
  • Java

Frameworks

  • Palantir Foundry
  • OSDK
  • Workshop
  • Pipeline Builder
  • Model Studio
  • AIP

Cloud Services

  • Google Cloud Platform (GCP)
  • Cloud Storage
  • Dataflow
  • Pub/Sub
  • BigQuery

Databases

  • BigQuery
  • DuckDB

Experience Level

  • 5+ years in Software Engineering / Data Engineering / Technical Consulting
  • 2+ years hands‑on Palantir Foundry experience

Senior Forward Deployed Engineer (Palantir Foundry – Delta)

📍 Location: Remote (U.S.)

💼 Job Type: 12-month Contract (Potential Extensions)

🧑 💻 Openings: 2



“Applicants must be authorized to work in the U.S. without current or future employer sponsorship.”



⚠️ Important Requirement

Candidates must have hands-on, real project experience with Palantir Foundry.

➡️ Profiles without genuine Palantir experience will not be considered.


About the Role

We are hiring a Senior Forward Deployed Engineer (Delta) to act as a technical leader within the Palantir ecosystem. This role requires deep expertise in Palantir Foundry architecture, development, and deployment, supporting enterprise-scale use cases such as Axis, inventory, and operational analytics.

You will bridge business and technology—architecting solutions, driving deployments, and delivering measurable outcomes in a complex data ecosystem.


Key Responsibilities

🔹 Technical Leadership & Architecture

  • Design and implement end-to-end data pipelines using Palantir Foundry
  • Architect and manage the Ontology layer (object types, link types, action types, interfaces)
  • Develop high-performance transforms using Python (PySpark, Pandas, Polars), SQL, and Java
  • Build function-backed logic using TypeScript/Python
  • Create Workshop applications and OSDK-based custom apps
  • Implement enterprise-grade data governance (RBAC, ABAC, markings, restricted views)
  • Design AIP-powered workflows including RAG pipelines and AI-driven automation


🔹 Deployment & Stakeholder Engagement

  • Act as the primary technical SME for Palantir engagements
  • Lead end-to-end deployments: scoping → architecture → build → deploy → optimize
  • Translate business requirements into scalable Foundry solutions
  • Partner with stakeholders across business, engineering, and analytics teams
  • Identify new use cases and drive platform adoption and expansion


🔹 Team Leadership & Mentorship

  • Mentor and guide Forward Deployed Engineers (FDEs)
  • Establish best practices for:
  • Code quality & reviews
  • CI/CD & branching strategies
  • Incremental pipeline design
  • Drive knowledge sharing and internal enablement


🔹 Platform Expertise & Innovation

  • Stay current with Foundry capabilities:
  • Pipeline Builder, Code Workspaces
  • Ontology & OSDK
  • Model Studio & AIP
  • Build and deploy ML models and predictive analytics solutions
  • Collaborate with product teams to influence platform improvements


Required Qualifications

  • 5+ years in Software Engineering / Data Engineering / Technical Consulting
  • 2+ years of hands-on Palantir Foundry experience (mandatory)
  • Strong programming skills in:
  • Python (PySpark, Pandas, Polars)
  • SQL
  • TypeScript (preferred)
  • Proven experience building:
  • Enterprise data pipelines (batch & streaming)
  • Workshop / OSDK applications
  • Deep understanding of:
  • Ontology design and implementation
  • Foundry data lifecycle (ingestion → transformation → application)
  • Strong stakeholder communication skills


Preferred Qualifications

  • Experience with Google Cloud Platform (GCP)
  • Strong expertise in BigQuery optimization & data warehousing
  • Hands-on with:
  • AIP (Agents, Logic, LLM workflows)
  • Model Studio / ML lifecycle
  • Data governance & security:
  • HIPAA compliance
  • Cipher, ABAC, restricted datasets
  • Prior experience in healthcare or regulated industries
  • Experience leading teams of 3+ engineers


Core Technical Skills

Languages: Python, SQL, TypeScript, Java

Data Engineering: PySpark, Pandas, Polars, DuckDB, Incremental Pipelines

Cloud: GCP (Cloud Storage, Dataflow, Pub/Sub, BigQuery)

Palantir Foundry: Ontology, OSDK, Workshop, Pipeline Builder

AI/ML: AIP, Model Studio, LLM workflows, RAG

Governance: RBAC, ABAC, HIPAA, Data Security


Apply