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Job Details
Posted date: Feb 25, 2025
Category: Engineering|Data Science & Analytics
Location: Seattle, WA
Estimated salary: $169,825
Range: $126,650 - $213,000
Role: 151000
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.Boeing’s Enterprise Services organization is seeking a SeniorData Engineer to support our transformation journey. You will be joining our Enterprise Services Technology and Systems Data Management team. Enterprise Services is a team of 2,500+ employees whose collective mission is to enable the build of Boeing’s products. Enterprise Services provides strategic partnership and support to all Boeing business units through multiple service towers – creating outsized impact and value across the Enterprise.
Up to 20% travel may be required to other U.S. Boeing sites.
Position Responsibilities:
Work with the Enterprise Services and Data Management Office leadership team to build complex, detailed visual displays and stories out of data to drive actionable outcomes
Assemble large and complex sets of industrial data and utilize the data pipeline and data infrastructure to meet functional business requirements
Build out new platform integrations within Boeing or with our partners or vendors to support the organization’s growing data volume and complexity
Identify and implement internal process improvements aimed to achieve greater scalability, optimizing data delivery, and automating existing manual processes
Build required infrastructure for optimal extraction, transformation and loading (ETL) of data from various data sources using Google Cloud Platform (GCP) and SQL technologies
Understand data modeling concepts and best practices while working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data related technical issues
Support Master Data Management initiatives by building and maintaining the technical infrastructure that enables consolidation, cleansing, and standardization of master data from various sources across the organization, ensuring a single source of truth
Build and improve data-driven models and analytical tools that provide information to downstream business intelligence tools providing actionable insight into key business performance metrics including operational efficiency and asset performance management
Actively implement processes and tools to monitor data quality ensuring high data integrity and availability to key stakeholders
Work closely with a team of frontend and backend engineers, product managers, analysts, business units and engineering teams to develop a resilient strategy for long term data platform architecture
Follow industry best practices for documentation of standards, processes and data architecture for future reference and compliance
Implement data storage solutions, including data lakes and warehouses
Key Relationships & Stakeholders:
Enterprise Services Executive Leadership Team
Data Science and IT; Finance
Service Tower Leadership (Indirect Supply Chain, Real Estate, Facilities & Asset Management, Executive Flight)
External vendors and/or consultants
Basic Qualifications (Required Skills/Experience):
Bachelor's degree or higher in computer science, engineering, information technology, or a related discipline
5 + years of experience in data and/or business analytics & related BI tools (e.g., Cognos, Microsoft Power BI, Tableau, etc.)
5+ years of experience with SQL and SQL & NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB)
Proficiency in programming languages (Python)
Experience with data modeling, data warehousing solutions (e.g., Amazon Redshift, Google BigQuery) and data governance principles
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform)
Knowledge of big data technologies (e.g., Hadoop, Spark)
Preferred Qualifications (Desired Skills/Experience):
10+ years of related work experience or an equivalent combination of education and experience
Master's degree
Experience working on large scale complex programs focused on data integration
Experience delivering business and data analytics solutions in a manufacturing, engineering, or operations environment
Experience presenting to various levels within an organization regarding different data sets, fields, taxonomy, reporting suites, platforms, data systems, and system architecture
Possess a continuous improvement mindset
Problem solving skills and attention to detail
Ability to effectively mentor and coach employees
Ability to collaborate across the globe
Drug Free Workplace:
Boeing is a Drug Free Workplace (DFW) 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.
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.
Senior Level 4 Summary Pay Range: $126,650 – $184,000
Senior Level 5 Summary Pay Range: $147,050 – $213,000
Applications for this position will be accepted until Mar. 13, 2025
Export Control Requirements: This is not an Export Control position.
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.
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