- 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.
- 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.
Compensation
Pay Range:$73,600-$109,300The 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.
Skills Required
- 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 and experience translating technical concepts for non-technical stakeholders
- Strong analytical and problem-solving skills with 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
- Exposure to Ontology concepts, Workshops, operational applications, or similar data product frameworks
- Familiarity with supply chain, manufacturing, trade, finance, or consumer packaged goods business processes
- Legally authorized to work in the United States
Conagra Brands Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Conagra Brands and has not been reviewed or approved by Conagra Brands.
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Retirement Support — Retirement programs are described as a standout, with a 401(k) that includes a company match and an additional company contribution, plus pension eligibility for certain groups. Company materials and filings emphasize this as a core strength across many roles.
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Strong & Reliable Incentives — Incentive pay and bonus opportunities are presented as a meaningful part of total rewards. Summaries characterize annual incentives as consistent and an important contributor to overall compensation.
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Wellbeing & Lifestyle Benefits — Health, dental, and vision coverage, an Employee Assistance Program, and wellness resources are highlighted alongside perks like discounts and legal benefits. Day‑one eligibility for many corporate and non‑union roles is called out, supporting easy access to these programs.
Conagra Brands Insights
What We Do
Conagra has the most impactful, energized and inclusive culture in food. Our diverse team embraces debate to challenge marketplace/business conventions. We are respected for our great brands, great food, great margins and consistent results. We combine a rich heritage with a sharpened focus and entrepreneurial spirit. Conagra’s portfolio of iconic and emerging food brands continues to evolve to offer contemporary choices for every occasion. We are a 100 year-old company with a startup attitude - an imperative to transform how we do business. What’s not changing? Our timeless values: integrity, external focus, broad-mindedness, agility, leadership by all, and a focus on results.
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