DevOps Data Engineer (Mid-Level or Senior) [Urgent]
Company: BOEING
Location: Ridley Park
Posted on: July 15, 2025
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Job Description:
Job Description Job Description At Boeing, we innovate and
collaborate to make the world a better place. We’re committed to
fostering an environment for every teammate that’s welcoming,
respectful and inclusive, with great opportunity for professional
growth. Find your future with us. 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 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): $106,250 - $154,100 Summary pay range Senior
(Level 4): $126,650 - $184,000 Applications for this position will
be accepted until Aug. 01, 2025 Export Control Requirements: 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. Export
Control Details: US based job, US Person required Education
Bachelor's Degree or Equivalent Required Relocation Relocation
assistance is not a negotiable benefit for this position. Visa
Sponsorship Employer will not sponsor applicants for employment
visa status. Shift This position is for 1st shift Equal Opportunity
Employer: 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.
Keywords: BOEING, Catonsville , DevOps Data Engineer (Mid-Level or Senior) [Urgent], IT / Software / Systems , Ridley Park, Maryland