Conagra Brands - Omaha, NE

posted about 2 months ago

Full-time - Senior
Omaha, NE
Merchant Wholesalers, Nondurable Goods

About the position

As a Senior Data Engineer, you will play a pivotal role in leading and owning the Palantir platform within our Enterprise Data Platform. In today's data-driven world, Palantir is essential for streamlining the process of accessing and analyzing critical data, enabling efficient decision-making across the organization. You will collaborate closely with cross-functional Portfolio and Business Teams to ensure that Palantir is utilized effectively to meet their diverse needs. As the subject matter expert in Palantir, you will also take on the responsibility of mentoring other engineers and guiding the development of data products that drive the success of our data initiatives. Your key responsibilities will include overseeing the deployment and ongoing management of Palantir Foundry, ensuring it aligns with the strategic data needs of the organization. You will work to enable development teams by providing them with the necessary tools and support to build robust data solutions within the Palantir environment. Additionally, you will be responsible for creating and managing Ontology within Palantir, ensuring that these are designed and validated with key business stakeholders and optimized for performance. Automation and testing will be a significant part of your role, as you will develop automated processes for data validation to ensure data accuracy and integrity throughout all phases of the data lifecycle. You will also mentor junior engineers and guide offshore teams, fostering a culture of collaboration and continuous learning. Performance optimization will be another critical aspect of your responsibilities, where you will identify and resolve data performance bottlenecks within Palantir to ensure the platform operates efficiently and effectively. Furthermore, you will implement best practices in data governance within Palantir, ensuring compliance with data privacy and security standards, and ensure seamless integration of Palantir with other data platforms and tools, providing ongoing support to maintain platform health and operational excellence.

Responsibilities

  • Lead Palantir Implementation: Oversee the deployment and ongoing management of Palantir Foundry within our Enterprise Data Platform, ensuring it meets the strategic data needs of the organization.
  • 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.

Benefits

  • Comprehensive healthcare plans
  • Wellness incentive program
  • Mental wellbeing support
  • Fitness reimbursement
  • Bonus incentive opportunity
  • Matching 401(k)
  • Stock purchase plan
  • Career development opportunities
  • Employee resource groups
  • On-demand learning
  • Tuition reimbursement
  • Paid-time off
  • Parental leave
  • Flexible work-schedules
  • Volunteer opportunities
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