Forward Deployed Engineer, Palantir

Conagra Brands; Omaha (NE); Hybrid; USD 94,000 - 138,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Stock purchase plan

Tuition reimbursement

Paid time off

Flexible work schedules

Job summary

Conagra Brands is seeking a Data Engineer to embed with cross-functional teams across supply chain, trade, manufacturing, and finance to deliver data products in Palantir Foundry. You will partner with stakeholders, data professionals, and engineers to translate business needs into scalable data solutions.

Responsibilities include building data pipelines in Python/SQL, supporting Ontology objects, and delivering AI-powered workflows and operational data assets while ensuring data quality and

Qualifications

• Bachelor's degree in CS or related field, or equivalent experience.
• Experience with SQL and Python.
• Experience building data pipelines and transformations.
• Familiarity with PySpark or distributed processing technologies.
• Understanding of data modeling fundamentals and data lifecycle concepts.
• Experience troubleshooting data issues and improving pipeline reliability.
• Strong communication skills with non-technical stakeholders.
• Experience with Palantir Foundry in production preferred.
• Exposure to Ontology concepts, Workshops, or similar data product frameworks preferred.
• Must be legally authorized to work in the United States.

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, AI-powered workflows, and operational data products enabling informed business decisions.
• Implement data quality checks, validation processes, and monitoring solutions to ensure trusted data assets.
• Troubleshoot data issues, identify root causes, and improve pipeline performance and reliability.
• Collaborate with Forward Deployed Engineers, data scientists, analysts, and platform engineers to deliver scalable solutions and promote best practices.
• Document solutions and support knowledge sharing for maintainability and operational excellence.
• Continuously develop expertise in Palantir Foundry, Ontology design, AI capabilities, and business processes to solve complex problems.

Skills

SQL

Python

PySpark

Palantir Foundry

Ontology design

Data pipelines

Data quality checks

Cross-functional collaboration

Documentation

Education

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field

Tools

Palantir Foundry

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 data assets.
• Troubleshoot data issues, identify root causes, and improve overall pipeline performance and reliability.
• Collaborate closely with Forward Deployed Engineers, data scientists, analysts, and platform engineers to deliver scalable solutions and strengthen engineering best practices.
• Document solutions and support knowledge sharing to promote maintainability and operational excellence.
• Continuously develop expertise in Palantir Foundry, Ontology design, artificial intelligence capabilities, and business processes to solve increasingly complex business problems.

Ingredients Required for Your Success

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent professional experience.
• Experience with SQL and Python.
• Experience building and supporting data pipelines and data transformations.
• Familiarity with PySpark or distributed data processing technologies.
• Understanding of data modeling fundamentals and data lifecycle concepts.
• Experience troubleshooting data issues and improving data pipeline reliability.
• Strong communication skills with experience translating technical concepts for non-technical stakeholders.
• Strong analytical and problem-solving skills with a curiosity for 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

Compensation

Pay Range: $94,300-$138,000

The annual salary listed above is the expected offering for this position. An employee’s actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees’ equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees.

Our Benefits

We care about your total well-being and will support you with the following, subject to your location and role:

• Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement
• Wealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan
• Growth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement
• Balance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities

Our Company

At Conagra Brands, we have a rich heritage of making great food. We aspire to have the most impactful, energized and inclusive culture in food. As a member of our 18,000+ person team across 40+ locations, you are empowered to reach your potential, make an impact and own your career. We're in the business of building champions - within our people and our iconic brands like Birds Eye®, Slim Jim® and Reddi-Wip®.

Our focus on innovation extends beyond making great food, it also reflects our commitment to embracing new solutions that positively impact our team, the communities we serve and the health of our planet. Foodies Welcome.

Conagra Brands is an equal opportunity employer and considers qualified applicants for employment without regard to sex, race, color, religion, ethnic or national origin, gender, sexual orientation, gender identity or expression, age, pregnancy, leave status, disability, veteran status, genetic information and/or any other characteristic or status protected by national, federal, state or local law. Reasonable accommodation may be made upon request.