Forward Deployed Engineer, Palantir

ConAgra Foods•Omaha, NE

1d•Hybrid

About The Position

Reporting to the Director of Information Technology, you will embed with cross-functional business teams across supply chain, trade, manufacturing, and finance to identify high-value use cases and deliver solutions inside Palantir Foundry. You will operate across domains, contributing to the enterprise’s most important business challenges by translating business needs into scalable data solutions. You will partner closely with stakeholders to design, build, and deploy data products that enable better decision-making.

Requirements

Bachelor’s degree in Computer Science, Data Engineering, or a related field, or equivalent experience
Strong proficiency in SQL and Python for data transformation and pipeline development
Hands-on experience with PySpark in a production environment
Experience with Palantir Foundry, including ontology design, workflows, or Workshop applications, or a track record of learning complex platforms quickly
Understanding of data modeling concepts and how upstream decisions impact downstream consumers
Strong communication skills with experience presenting to both technical and non-technical audiences
Experience working with cross-functional business teams to define problems and deliver solutions
Knowledge of complex industries such as consumer packaged goods, manufacturing, retail, or similar environments

Responsibilities

Work directly alongside business stakeholders to surface problems, define requirements, and design solutions without relying on a formal intake process
Develop, test, and maintain data pipelines and transformations in Palantir Foundry using Python and PySpark
Design and maintain Ontology Objects, Links, Actions, and Interfaces that reflect real business entities and relationships
Build Workshop applications, operational data products, and workflows that drive business decisions
Implement automated data validation, monitoring, and lineage to ensure data quality and trust
Partner with data scientists, analysts, and engineers to increase overall team effectiveness and output
Translate between business and technical stakeholders to align on priorities and deliver clear solutions
Apply systems thinking to data architecture, ensuring scalability and alignment with downstream use