Data Engineer, Intern

Aireon deployed the world's first global space-based air traffic surveillance system, providing real-time aircraft monitoring capabilities around the world, including over the poles, over the oceans and in remote areas.

Aireon data enables safer, more efficient and more environmentally friendly aviation travel, resulting in significant CO2 emission reductions. More than 20 Air Navigation Service Providers representing more than 40 countries - including NAV CANADA, NATS (UK), Air Traffic and Navigation Services (South Africa), Airports Authority of India (AAI), and ASECNA (Africa) -- rely on Aireon data to navigate aircraft in their airspaces.

We are committed to offering an employment experience and benefits package that enables you and your family to grow with us and to share in our success.

The Aireon Internship Program is an opportunity for students to be a part of the Aireon teams that are making groundbreaking advancements in global air traffic surveillance. As an Intern, you'll begin making an impact on real projects from day one! Come prepared to grow, develop, and learn alongside a team and the leaders of our company.The Aireon Internshipprogram is a 12-week program that runs from May 27, 2025 to August 15, 2025. During the program, interns will have the opportunity to provide valuable support to an Aireon department on a project or important work assignment. Interns will also be provided an opportunity to engage with senior leadership and fellow interns through regular engagement activities.

This internship offers a unique opportunity for individuals interested in data engineering, focusing on Python and Spark development. Interns will gain hands-on experience building and optimizing large-scale data processing systems, learning to leverage Python and Apache Spark for efficient data handling and analysis. The program aims to equip interns with practical skills in data engineering, including data ingestion, processing, and pipeline optimization. Throughout the internship, participants will work on real-world projects, enabling them to understand the challenges and solutions in big data. The goal is to prepare interns for a successful career in data engineering, providing them with the knowledge and experience necessary to contribute effectively in a professional environment.

What You'll Do

Data Handling: Ingesting and processing data, involving cleaning, transformation, and preparation
• Pipeline Development: Assisting in building and maintaining data pipelines using Databricks
• Azure Cloud Services: Utilizing Azure tools for data management and analysis
• Coding and Review: Writing and reviewing Python and Spark code for efficiency and best practices
• Team Collaboration: Participating in meetings and collaborative sessions for project discussions
• Learning and Development: Engaging in activities to enhance your data engineering skills
• Testing and Debugging: Ensuring data pipeline reliability and performance
• Documentation and Monitoring: Documenting processes and monitoring pipeline performance

Skills You Will Obtain

• Real-World Experience: Hands-on project work in data engineering using Python, Spark, Azure, and Databricks
• Critical Thinking and Analytical Skills: Enhancing problem-solving abilities and data analysis skills
• Technical Proficiency: Gaining expertise in Python, Spark, and Azure cloud services
• Data Pipeline Management: Learning to design and optimize data pipelines
• Collaboration and Communication: Improving teamwork and professional communication
• Adaptability and Learning: Adapting to new technologies and continuous skill development
• Testing and Debugging: Acquiring skills in ensuring data pipeline reliability and performance

Required Qualifications

• Must be a minimum of 18 years of age
• Must be currently enrolled in a bachelor's or graduate degree program at an accredited academic institution
• Must be eligible to work in the U.S.

Desired Qualifications

• Python and Spark basics: Familiarity with Python and Apache Spark
• Data Skills: Understanding of data structures, algorithms, and SQL
• Azure/Databricks experience: Some exposure to Azure and Databricks
• Analytical thinking: Strong problem-solving and analytical skills
• Eagerness to learn: A keen interest in learning new data engineering technologies
• Communication and teamwork: Good communication skills and ability to work in a team
• Educational background: Pursuing or completing a degree in a related field like Computer Science
• Detail-oriented: Attention to detail, especially in coding and data handling
• Pursuing or completing a graduate degree in a related field like Computer Science

About You

You are curious and eager to learn. We value interns who are naturally curious and eager to explore new technologies and concepts in data engineering. This trait is crucial for staying abreast of the rapidly evolving tech landscape.

You have an analytical mindset. The ability to think critically and analyze complex data sets is essential. An analytical mindset helps in effectively solving problems and making data-driven decisions.

You pay attention to detail. Precision and attention to detail are vital in coding and handling data, as even minor errors can lead to significant issues in data processing and analysis.

You take a proactive approach. We appreciate interns who take the initiative, whether it's in solving problems, seeking new learning opportunities, or contributing ideas to projects.

You are resilient. The ability to stay motivated and persistent, even when faced with challenges, is essential. Resilience helps in navigating the learning curve and overcoming obstacles in project work.

About the Team

• You will collaborate with the Principal Data Engineer and data scientists/analysts to design data analytics solutions. The Principal Data Engineer will discuss data pipeline and operations solutions with you and provide guidance and mentorship throughout the project.

Aireon is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, sexual orientation, gender identity or status as a protected veteran. EOE of Minorities/Females/Vets/Disability and other protected categories.