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DevOps Data Engineer (Mid-Level or Senior)

BOEING

Everett, WA
6 hours ago
$106,250 - $154,100

Job Description

Join Boeing as a DevOps Data Engineer and contribute to the future of aerospace by providing data and automation support for audit activities. This role offers exposure across Boeing's business units and opportunities for professional growth.

Key Responsibilities

  • Partner with internal stakeholders to define desired user experiences with data
  • Design, build, and manage scalable systems and data pipelines
  • Build and manage CI/CD pipelines for reliable deployment of applications and services
  • Implement testing and alerts for codebases and data pipelines
  • Analyze large datasets to identify and explain data trends
  • Implement access-control and security systems for compliance
  • Develop and maintain partnerships while working in cross-functional teams
  • Exercise critical thinking and innovative problem solving

Required Qualifications

  • Bachelor's Degree or higher in Computer Science, Statistics, Data Science, Engineering, or a related field
  • 3+ years of experience leading work streams with data scientists and other data & analytics professionals
  • Experience in cloud and/or data engineering
  • Experience with CI/CD practices, configuration management tools, and containerization and orchestration tools for infrastructure automation
  • Experience with cloud technology resources, configuration, deployment, and architecture

Preferred Qualifications

  • Master's Degree in Computer Science, Statistics, Data Science, Engineering, or related fields
  • 5+ years of related work experience or an equivalent combination of education and experience
  • Excellent problem-solving skills, verbal/written communication
  • In-depth knowledge of AWS resources, configuration, deployment, and architecture
  • Experience utilizing a diverse array of technologies and tools such as fluency in Python
  • Experience with command-line scripting, data structures, and algorithms
  • Experience working in a role that develops Data Engineering solutions as part of a cross-functional team
  • Experience working in highly regulated environments (e.g., aerospace, defense, financial services)

Benefits & Perks

Health insuranceFlexible spending accountsHealth savings accountsRetirement savings plansLife and disability insurance programsPaid and unpaid time away from work