DevOps Data Engineer (Mid-Level or Senior)

DevOps Data Engineer (Mid-Level or Senior)

Company:

The Boeing Company

The Boeing Company has an exciting opportunity for a DevOps Data Engineer (Mid-Level or Senior) to join our Audit Leadership Development Program to support our strategic business hubs, virtually.

Our strategic business hubs are located across the US in: Renton, WA; Seattle, WA; Everett, WA; Berkeley, MO; Hazelwood, MO; Ridley Park, PA; North Charleston, SC; Mesa, AZ; and Plano, TX.

Why Boeing?

At Boeing, we don't just build aircraft; we shape the future of aerospace. Our team is at the heart of this innovation, contributing to aviation and aerospace products that make a difference in the lives of people around the world. We're not just connecting and protecting; we're exploring new frontiers. Be part of a company that thrives on intellectual curiosity and fosters an environment that is welcoming, respectful, and inclusive.

Are you ready to embark on an exciting career journey with one of the world's leading aerospace companies?

In this role you will be a member of Boeing’s Corporate Audit Data Analytics team, a national team covering a wide range and scope of audit activities. As a Mid-Level DevOps Data Engineer, you will assist Corporate Audit in accomplishing its objectives by bringing a systematic and disciplined approach to evaluate and improve the effectiveness of Boeing’s governance, risk management and internal control environment by providing data and automation support to perform independent evaluations of the adequacy and effectiveness of Boeing’s production, finance, operations, compliance and technology functions.

Corporate Audit is a leadership development program designed to give participants exposure across all Boeing business units, an unmatched leadership experience, and opportunities for expanded career growth. As part of the team, you’ll evaluate complex business issues, obtain ongoing training & development (including an annual in person conference), executive mentorship, and exposure to top leadership.

You will provide data and automation support for a variety of complex projects. In addition, under the guidance of the Data Analytics Senior Manager, you will help to execute the analytics roadmap for audit, which includes improving and enhancing audit department efficiency and effectiveness, leveraging tools like AWS and Python.

A successful candidate will have a DevOps and data engineering background to focus on supporting automation projects.

Position Responsibilities:

• Partner with internal stakeholders to define desired user experiences with data; use these requirements to design orchestration strategies, data models, and partition strategies that optimize performance and cost of data curation and access 
• Design, build, and manage scalable systems and data pipelines that enable the department to collect, store, and process large volumes of data from diverse sources using big data technologies
• Build and manage CI/CD pipelines to ensure reliable deployment of applications and services with Cloud technologies
• Implement testing and alerts that identify undesirable performance in codebases and data pipelines
• Analyze large datasets to identify, disposition, and explain the root cause for unanticipated 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 of Data Scientists, Product Owners, and Business Intelligence Analysts
• Exercise critical thinking and innovative problem solving

This position has been identified as a virtual opportunity and will not require the selected candidate to relocate.

Basic Qualifications (Required Skills/Experience):

• 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, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval
• 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 (Desired Skills/Experience):

• 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 exper