Digital Engineer

SAICEl Segundo, CA
Onsite

About The Position

SAIC is seeking a Digital Engineer onsite in El Segundo, CA to build end-to-end data solutions and applications for the Positioning, Navigation, and Timing (PNT) Systems Engineering & Integration (SE&I) Team. PNT SE&I provides engineering, integration, technical analysis, and subject matter expertise (SME) support to the US Space Force. As a member of our PNT SE&I Team, you'll work in a fast-paced environment with Government personnel and systems engineers to gather and translate business requirements into actionable data solutions, develop interactive user interfaces, perform data transformation and modeling, and provide support and training to ensure effective use of data-driven insights across the organization.

Requirements

  • Experience building end-to-end data solutions and applications.
  • Ability to gather and translate business requirements into actionable data solutions.
  • Experience developing interactive user interfaces.
  • Proficiency in data transformation and modeling.
  • Experience providing support and training to end-users.
  • Familiarity with Palantir Foundry.
  • Experience integrating data solutions with REST APIs, enterprise systems, and third-party tools.
  • Experience optimizing performance, managing pipelines, and datasets.
  • Experience ensuring efficient data retrieval from various sources.

Responsibilities

  • Collaborate with stakeholders to gather and understand business requirements, translating them into actionable data solutions using Palantir Foundry.
  • Develop and design interactive applications and reports using Palantir Foundry, ensuring data accuracy and visual appeal to support decision-making.
  • Perform data transformation, data modeling, and data cleaning using Palantir Foundry tools to prepare data for analysis.
  • Integrate data solutions with REST APIs, enterprise systems, and third-party tools to create seamless workflows and automate business processes.
  • Optimize Foundry performance, managing pipelines, datasets, and ensuring efficient data retrieval from various sources.
  • Provide technical support, documentation, and training to end-users, driving adoption and ensuring teams can effectively leverage data solutions.
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