Reliability Data Analytics Engineer (Associate or Experienced)

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.
Boeing Commercial Airplanes (BCA) is seeking a Reliability Data Analytics Engineer (Associate or Experienced) with a strong background in the airline industry and expertise in data analytics to join our team in Seal Beach, California.
Position Overview:
This role will focus on enhancing the reliability and performance of our aircraft through data-driven insights and analytics. The ideal candidate will be proficient in using Tableau to visualize data and communicate findings effectively to stakeholders, while also possessing data engineering skills to manage and analyze large datasets. Our teams are currently hiring for a broad range of experience levels including Reliability Data Analytics Engineer (Associate or Experienced).
Primary Responsibilities:

• Analyze aircraft reliability data to identify trends, issues, and opportunities for improvement, leveraging data engineering techniques.
• Collaborate with cross-functional teams, including maintenance, engineering, and operations, to develop and implement reliability improvement initiatives.
• Utilize Tableau to create interactive dashboards and visualizations that provide insights into reliability metrics and performance indicators.
• Design and create various analytical reports and automated dashboards to help stakeholders identify critical issues and facilitate strategic planning.
• Develop custom SQL queries for data extraction and analysis from various databases, ensuring data integrity and accuracy.
• Conduct root cause analysis on reliability issues and develop actionable recommendations to mitigate risks.
• Monitor and report on key performance indicators (KPIs) related to aircraft reliability and maintenance.
• Create a process for reviewing input data from various sources and provide data quality metrics dashboards.
• Implement process improvements and lean methods to ensure high-quality data is readily available for analysis.
• Develop and maintain strong relationships with airline partners and internal stakeholders to ensure alignment on reliability goals and initiatives.
• Participate in industry meetings, workshops, and conferences to stay updated on best practices and emerging trends in reliability engineering and data analytics.
• Work closely with airlines and Boeing suppliers to collect and validate in-service data, ensuring comprehensive data sets for analysis.

Work Authorization:
This position is expected to be 100% onsite. The selected candidate will be required to work onsite at the Seal Beach, California location.
Basic Qualifications (Required Skills/ Experience):

• Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement.
• 2+ years of experience in data analytics or reliability engineering.

Preferred Qualifications (Desired Skills/Experience):

• Experience in developing automated reporting solutions and dashboards, specifically with Tableau.
• Experience with coding language (Python, Java, etc.) and Machine Learning/AI.
• Experience with SQL.
• Experience in Aircraft Reliability and Maintainability data and Aviation Standards, ATA SPEC 2000 or ASD S5000F.
• Proficiency in data analytics and visualization tools.
• Knowledge of aircraft systems and maintenance practices.
• Level 3: 4+ years of related work experience or an equivalent combination of education and experience.

Conflict of Interest:
Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.
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.
Union:
This is not a union-represented position.
Pay and 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:

• Associate (Level 2): $98,600 - $133,400
• Experienced (Level 3): $119,850 - $162,150

Applications for this position will be accepted until Jul. 18, 2026
Export Control Requirements:
This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
Export Control Details:
US based job, US Person required
Education
Bachelor's Degree or Equivalent Required
Relocation
This position offers relocation based on candidate eligibility.
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.