2026 Raytheon Full Time- Software Data Engineer II (Onsite)

RTX•Indianapolis, IN

16h•Onsite

About The Position

RTX is seeking a highly motivated new graduate with a strong foundation in software development and data engineering to join their team. The ideal candidate will have hands-on experience with Python programming, SQL, database design, and modern data pipeline concepts. They will work as part of an Agile team, contributing to the development and maintenance of scalable data solutions that support business and engineering objectives. At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX. At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world.

Requirements

Master’s degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or related field
Academic or project experience in Python programming
Working knowledge of SQL and relational database concepts
Development experience or coursework using JavaScript, HTML, and CSS
Exposure to data engineering principles such as ETL processes, data modeling, or pipeline design
Familiarity with Agile development methodologies
Experience or coursework in UX principles and user interface development
Strong problem-solving skills and the ability to learn new technologies quickly
U.S. citizenship is required
The ability to obtain and maintain a U.S. government issued security clearance is required
Active and existing security clearance required after day 1

Nice To Haves

Experience with version control (Git)
Experience with dbt (Data Build Tool) for data transformation and modeling
Knowledge of NoSQL stores or data lakes
Understanding of virtualization, containers, or cloud-based infrastructure (e.g., VMs, Docker, Kubernetes, or similar)
Prior internship or project work involving data engineering or backend development
Strong communication and collaboration abilities
Ability to work effectively in a team setting
Attention to detail and commitment to producing high-quality work
Curiosity, adaptability, and a desire to grow into increasingly complex technical responsibilities

Responsibilities

Develop, test, and maintain Python-based applications and data processing pipelines
Write efficient SQL queries and contribute to relational database design and optimization
Assist in building and supporting data ingestion, transformation, and storage workflows
Collaborate with team members within an Agile environment, participating in sprint planning, reviews, and retrospectives
Document data models, workflows, and technical designs
Troubleshoot issues in data workflows, applications, and infrastructure components
Support continuous improvement initiatives related to data quality, engineering practices, and automation