Senior Data Engineer, Conagra Brands

4 weeks ago


Omaha, Nebraska, United States Conagra Brands Full time
Job Summary

We are seeking a highly skilled Senior Data Engineer to lead the Palantir platform within our Enterprise Data Platform at Conagra Brands. As a key member of our team, you will be responsible for overseeing the deployment and ongoing management of Palantir Foundry, ensuring it meets the strategic data needs of the organization.

You will work closely with cross-functional teams, providing them with the tools and support needed to build robust data solutions within the Palantir environment. Your expertise in data modeling, pipeline development, and platform optimization will be essential in creating and managing Ontology within Palantir, ensuring they are designed and validated with key business stakeholders and optimized for performance.

In addition to your technical expertise, you will be responsible for mentoring junior engineers and guiding offshore teams, fostering a culture of collaboration and continuous learning. You will also be responsible for identifying and resolving data performance bottlenecks within Palantir, ensuring the platform operates efficiently and effectively.

We are looking for a highly motivated and experienced Senior Data Engineer who is passionate about innovation and growth. If you have a strong background in data engineering, excellent communication skills, and a proven track record of leading technical teams, we encourage you to apply for this exciting opportunity.

Key Responsibilities
  • Lead Palantir Implementation: Oversee the deployment and ongoing management of Palantir Foundry within our Enterprise Data Platform.
  • Enable Development Teams: Collaborate with cross-functional teams, providing them with the tools and support needed to build robust data solutions within the Palantir environment.
  • Data Modeling and Transformation: Create and manage Ontology within Palantir, ensuring they are designed and validated with key business stakeholders and optimized for performance.
  • Automation and Testing: Develop automated processes for data validation, ensuring data accuracy and integrity during all phases of the data lifecycle.
  • Mentorship and Leadership: Mentor junior engineers and guide offshore teams, fostering a culture of collaboration and continuous learning.
  • Performance Optimization: Identify and resolve data performance bottlenecks within Palantir, ensuring the platform operates efficiently and effectively.
  • Data Governance: Implement best practices in data governance within Palantir, ensuring compliance with data privacy and security standards.
  • Integration and Support: Ensure seamless integration of Palantir with other data platforms and tools, providing ongoing support to ensure platform health and operational excellence.
Requirements
  • Educational Background: Bachelor's degree from an accredited university preferred, or 5+ years of experience in a data engineering role.
  • Technical Expertise: Extensive experience with PySpark, data modeling, pipeline development, and platform optimization. Palantir certification is encouraged.
  • Collaboration Skills: Ability to communicate effectively with data scientists, business analysts, and leadership, with a proven track record of mentoring and leading technical teams.
  • Data Management: Deep experience (5+ years) in managing and transforming large datasets, with proficiency in SQL, PySpark, and related tools.
  • Agile Experience: Experience operating within an Agile framework to manage and deliver complex data projects.
  • Data Governance Knowledge: Strong understanding of data governance principles and experience implementing these within Palantir.
  • Eligibility: Candidates must be legally authorized to work in the United States.


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