Forward Deployed Engineer, Palantir
AI summary of the role
Embedded data engineer role at Conagra Brands, reporting to the Director of IT, working within Palantir Foundry to build data pipelines and operational applications for supply chain, trade, manufacturing, and finance.
What you’ll do
- Partner with business stakeholders to gather requirements and design solutions across supply chain, trade, manufacturing, and finance.
- Develop and maintain data pipelines and transformations using Python, SQL, and PySpark within Palantir Foundry.
- Support Ontology Objects, Links, Actions, and Interfaces to model business processes.
- Build Workshop applications and AI-powered workflows for operational decision-making.
What you’ll bring
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or equivalent experience.
- Experience with SQL and Python.
- Experience building and supporting data pipelines and transformations.
- Familiarity with PySpark or distributed data processing.
Technologies
Palantir Foundry · Python · SQL · PySpark · Ontology · Workshop · data pipelines · data transformations
About Conagra Brands
Conagra sells branded frozen, grocery, snacks and foodservice products through iconic brands while reshaping toward higher-growth frozen and snacking platforms.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
Job Description Reporting to the Director of Information Technology, you will embed with cross-functional business teams across supply chain, trade, manufacturing, and finance to deliver data solutions within Palantir Foundry. You will partner with business stakeholders, data professionals, and engineers to translate business needs into scalable data products that drive operational and strategic decision-making. You will build data pipelines, support Ontology development, and contribute to operational applications while continuously expanding your technical and business expertise in a fast-paced environment. A Taste of Your Responsibilities Partner with business stakeholders to understand challenges, gather requirements, and contribute to solution design across supply chain, trade, manufacturing, and finance. Develop, test, maintain, and improve data pipelines and transformations
More from the job description
Job Description Reporting to the Director of Information Technology, you will embed with cross-functional business teams across supply chain, trade, manufacturing, and finance to deliver data solutions within Palantir Foundry. You will partner with business stakeholders, data professionals, and engineers to translate business needs into scalable data products that drive operational and strategic decision-making. You will build data pipelines, support Ontology development, and contribute to operational applications while continuously expanding your technical and business expertise in a fast-paced environment. A Taste of Your Responsibilities Partner with business stakeholders to understand challenges, gather requirements, and contribute to solution design across supply chain, trade, manufacturing, and finance. Develop, test, maintain, and improve data pipelines and transformations using Python, SQL, and PySpark within Palantir Foundry. Support the design and implementation of Ontology Objects, Links, Actions, and Interfaces that accurately represent business processes and data relationships. Build and support Workshop applications, artificial intelligence powered workflows, and operational data products that enable business users to make informed decisions. Implement data quality checks, validation processes, and monitoring solutions to help ensure trusted and reliable da [... source excerpt omitted ...] learning new technologies and business domains. Experience working in ambiguous environments and collaborating with cross-functional teams. Experience with Palantir Foundry in a production environment preferred. Exposure to Ontology concepts, Workshops, operational applications, or similar data product frameworks preferred. Familiarity with supply chain, manufacturing, trade, finance, or consumer packaged goods business processes preferred. Must be legally authorized to work in the United States. Number of Days in Office: 3 #LI-Hybrid #LI-Associate #LI-SG1 Compensation Pay Range:$94,300-$138,000 The annual salary listed above is the expected offering for this position. A
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