Data Engineer Intern

Company:

Job Title: Data Engineer Intern  

Overview

As a leading global aerospace company, Boeing develops, manufactures, and services commercial airplanes, defense products and space systems for customers in more than 150 countries. As a top U.S. exporter, the company leverages the talents of a global supplier base to advance economic opportunity, sustainability, and community impact. Boeing’s team is committed to innovating for the future, leading with sustainability, and cultivating a culture based on the company’s core values of safety, quality, and integrity.

Technology for today and tomorrow

The Boeing India Engineering & Technology Center (BIETC) is a 5500+ engineering workforce that contributes to global aerospace growth. Our engineers deliver cutting-edge R&D, innovation, and high-quality engineering work in global markets, and leverage new-age technologies such as AI/ML, IIoT, Cloud, Model-Based Engineering, and Additive Manufacturing, shaping the future of aerospace.

People-driven culture

At Boeing, we believe creativity and innovation thrives when every employee is trusted, empowered, and has the flexibility to choose, grow, learn, and explore. We offer variable arrangements depending upon business and customer needs, and professional pursuits that offer greater flexibility in the way our people work. We also believe that collaboration, frequent team engagements, and face-to-face meetings bring diverse perspectives and thoughts – enabling every voice to be heard and every perspective to be respected.  No matter where or how our teammates work, we are committed to positively shaping people’s careers and being thoughtful about employee wellbeing.

At Boeing, we are inclusive, diverse, and transformative.  

With us, you can create and contribute to what matters most in your career, community, country, and world. Join us in powering the progress of global aerospace.

Requisition Details

Job Description Summary

The Data Engineer Intern will assist in developing and delivering core data engineering and analytics solutions. The ideal candidate is curious, resourceful, and eager to learn practical data engineering skills in a data-product environment. You will work closely with senior data engineers, data scientists, and product teams to design, build, and maintain data pipelines and platforms that power analytics and data products.

Job Description

At Boeing, we are all innovators on a mission to connect, protect, explore and inspire. From the seabed to outer space, you’ll learn and grow, contributing to work that shapes the world. Find your future with us.

The Boeing Company is looking for a data engineer intern who can support the design, development and maintenance of data pipelines and data products.

As part of the core data engineering group, the candidate will play role in developing innovative, reusable, and scalable solutions. This position will work effectively with cross-functional teams and technical leads to determine, define, and deploy analytics solutions to meet business goals.

At Boeing, we are already making a difference across the industry using enterprise data platform to deliver superior product experience to our internal functions and commercial and government customers. We are expanding and growing in all areas on the frontier of the aerospace industry. 

This role is based out of Bengaluru, Karnataka, INDIA.

Position Responsibilities:

• Learn and follow the best practices of engineering: code reviews, testing, and documentation. 
• Participate in sprint planning, standups, and retrospectives, report progress and blockers. 
• Support data platform operations: monitor jobs, investigate failures, and triage incidents. 
• Assist with data quality checks, validation rules, and maintaining data catalogs and metadata. 
• Document data sources, schemas, and pipeline behavior for internal stakeholders.

Data Products Development

• Help build, extend, and maintain ETL/ELT pipelines that ingest, transform, and serve data for analytics and ML use-cases. 
• Implement transformations and join in Spark or Python to produce clean, production-ready datasets. 
• Contribute to incremental jobs and orchestration workflows (Airflow/Step Functions or similar). 
• Collaborate with data scientists and product managers to deliver datasets and metrics that support product features and KPIs. 
• Optimize queries and pipelines for performance and cost-efficiency; suggest improvements.

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Security Clearance:

Visa Sponsorship:

Contingent Upon Award Program

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