DevOps Data Engineer (Mid-Level or Senior)
DevOps Data Engineer (Mid-Level or Senior)
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Job Description
Company:
The Boeing CompanyThe 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 dont 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. Were not just connecting and protecting; were 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 worlds leading aerospace companies
In this role you will be a member of Boeings 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 Boeings governance risk management and internal control environment by providing data and automation support to perform independent evaluations of the adequacy and effectiveness of Boeings 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 youll 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):
- Bachelors 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):
- Masters 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)
Drug Free Workplace:
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana cocaine opioids amphetamines PCP and alcohol when criteria is met as outlined in our policies.
Shift:
This position is for 1st shift.
Pay & Benefits:
At Boeing we strive to deliver a Total Rewards package that will attract engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs generally including health insurance flexible spending accounts health savings accounts retirement savings plans life and disability insurance programs and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location date of hire and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications as well as market and business considerations.
Summary pay range Experienced (Level 3): $106250 - $154100
Summary pay range Senior (Level 4): $126650 - $184000
Language Requirements:
Not ApplicableEducation:
Bachelors Degree or EquivalentRelocation:
Relocation assistance is not a negotiable benefit for this position.Export Control Requirement:
This position must meet export control compliance requirements. To meet export control compliance requirements a U.S. Person as defined by 22 C.F.R. 120.15 is required. U.S. Person includes U.S. Citizen lawful permanent resident refugee or asylee.Safety Sensitive:
This is not a Safety Sensitive Position.Security Clearance:
This position does not require a Security Clearance.Visa Sponsorship:
Employer will not sponsor applicants for employment visa status.Contingent Upon Award Program
This position is not contingent upon program awardShift:
Shift 1 (United States of America)Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race color religion national origin gender sexual orientation gender identity age physical or mental disability genetic factors military/veteran status or other characteristics protected by law.
Boeing Participates in E Verify
Right to Work Statement
Required Experience:
Manager
Employment Type
Full-Time
