✦ Luna Orbit — Data & Analytics

Principal Data Engineer, Intelligent Talent Acquisition

at Amazon.com

📍 US, WA, Seattle Unknown Posted March 27, 2026
Type Not Specified
Experience mid
Exp. Years Not specified
Education Bachelor's Degree in a technical field or equivalent
Category Data & Analytics

Join Amazon's Intelligent Talent Acquisition Data team as a Principal Data Engineer to lead high-impact data projects, develop scalable data solutions, and mentor data engineers in a fast-paced environment.

  • Lead data strategy development
  • Design scalable data services
  • Mentor data engineers
  • Collaborate with research scientists
  • Develop high-impact data products

Role involves designing and implementing data infrastructure, working with AI and machine learning algorithms, and collaborating across teams using advanced data tools and platforms.

The ideal candidate is a mid-level data engineer with strong experience in distributed applications, data infrastructure, and machine learning. They should have a background in designing scalable data solutions and mentoring junior engineers.

Data engineering experienceDesignimplementationor consulting experience with distributed applications
Experience working with Data/Research ScientistsModel deploymentAdvanced software toolsAI systemsMachine learning algorithms
Data engineeringDistributed applicationsData strategyMachine learningAI systemsData servicesData infrastructureMentoring
Data EngineeringDistributed ApplicationsData StrategyMachine LearningAI SystemsData ServicesData InfrastructureData DesignData DevelopmentMentoring
LeadershipCommunicationCollaborationMentoringProblem-solving
Industry Technology
Job Function Lead data engineering projects to support Amazon Talent Acquisition operations
Role Subtype Data Engineer
Data EngineerData engineeringDistributed applicationsData strategyMachine learningAI systemsData servicesData infrastructureData designData developmentMentoringData scientistData researchBig dataData analysisData pipelinesETLPythonSQLCloud dataData engineerdistributed applicationsmachine learningdata infrastructurementoringdata pipelinesbig datacloud data

Lack of data engineering experience, No experience with distributed applications, No Bachelor's degree or equivalent

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