Join The Boeing Company as a Data Engineer Intern for the summer of 2026. In this role, you will expand the company's self-service data initiative by building data products within a Microsoft Azure technology stack. You will focus on synthesizing datasets across multiple source systems and transforming complex schemas into clean, interpretable data products.
What You'll Do
- Develop data pipelines and products using PySpark and SQL
- Synthesize datasets across multiple source systems
- Perform data wrangling and cleansing
- Implement data quality checks
- Orchestrate ETL pipelines
What We're Looking For
- Ability to work full-time for 10-12 weeks during Summer 2026
- Currently studying computer science, mathematics, statistics, operations research, industrial engineering, information systems, business analytics, or a similar field
- Experience in Python or SQL
- Enrolled student with an expected graduation date on or after August 2026
Nice to Have
- Experience with cloud computing, including Azure, GCP, or AWS
- Strong academic performance, with a preferred GPA of 3.0 or above
- Exceptional organizational and collaboration skills demonstrated through leadership in teams, student, or civic organizations
- Strong technical experiences demonstrated through projects, research, or engineering internships
- Exceptional communication skills and enthusiasm for engineering, aerospace, and a career with Boeing
- Junior or Senior class standing
Technical Stack
- Microsoft Azure
- PySpark
- SQL
- Python
Benefits & Compensation
- Compensation: $21.15/hr – $30.77/hr
- Competitive base pay and variable compensation opportunities
- Health, life, and disability insurance programs
- Flexible spending accounts and health savings accounts
- Retirement savings plans
- Programs providing for both paid and unpaid time away from work
Work Mode
This is an onsite internship position.
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.
