B

DevOps Data Engineer (Mid-Level or Senior)

BOEING

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

Job Description

Join Boeing as a DevOps Data Engineer to innovate in aerospace, providing data and automation support to enhance audit efficiency and effectiveness. Collaborate with a national team to tackle complex business challenges while enjoying professional growth opportunities.

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 performance issues in codebases and data pipelines
  • Analyze large datasets to identify and explain data trends
  • Implement access-control and security systems for compliance with data governance policies
  • Develop and maintain partnerships while working in a cross-functional team
  • 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, and ability to explain technically complex concepts to business stakeholders
  • In-depth knowledge of AWS resources, configuration, deployment, and architecture
  • Experience utilizing a diverse array of technologies and tools as needed to deliver insights, such as fluency in Python
  • Experience with command-line scripting, data structures, and algorithms; Ability to write production level code
  • Experience working in a role that develops Data Engineering solutions as part of a cross-functional team that includes Data Scientists, Product Owners, and Business Intelligence Analysts
  • 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