Forward-Deployed Palantir Engineer

Accenture; Des Moines (IA); On-site; USD 90,000 - 180,000; Full time

Benefits offered by this job

Medical benefits

401(k) plan

Paid time off

Job summary

Accenture Palantir Business Group seeks a Forward Deployed Engineer to help clients deploy Palantir Foundry and build tailored AI-enabled solutions. You will work with a compact team of engineers, domain experts, and Deployment Strategists to translate a client’s vision into scalable deployments that drive measurable improvements.

Expect to lead end-to-end data engineering efforts, from data modeling to production pipelines, while collaborating with stakeholders and delivering tangible impact

Qualifications

• 5+ years hands-on data engineering, ETL/ELT pipelines, and data warehousing.
• 3+ years with Palantir Foundry building data pipelines and deploying apps.
• 3+ years experience in prompt engineering and applied AI with Palantir AIP.
• 5+ years working with AWS, Azure or GCP.
• 5+ years coding in Python or PySpark or Java.

Responsibilities

• Collaborate with cross-functional teams to design, build, and support client-facing applications.
• Translate client objectives into a delivery plan and scalable deployment roadmap.
• Prototype and iterate quickly; validate with users and adjust based on feedback.
• Deliver production-grade data pipelines and applications that convert data into decision workflows.
• Communicate progress and decisions clearly to technical and non-technical stakeholders.

Skills

Data engineering

Palantir Foundry

Prompt engineering

Cloud platforms

Python/Java/SQL

Education

Bachelor's degree in CS/Engineering

Tools

Palantir Gotham

Job description

Accenture Palantir Business Group seeks a Forward Deployed Engineer to help clients deploy Palantir Foundry and build tailored AI-enabled solutions. You will work with a compact team of engineers, domain experts, and Deployment Strategists to translate a client’s vision into scalable deployments that drive measurable improvements.

Expect to lead end-to-end data engineering efforts, from data modeling to production pipelines, while collaborating with stakeholders and delivering tangible impact