Principal Systems Engineer

RTX•Lexington Park, MD

19h•Onsite

About The Position

At RTX, the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings 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. We deliver solutions that help our nation and allies defend freedoms and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. At Raytheon, our mission is rooted in a higher calling—to help our nation and allies defend freedoms and stay ahead of tomorrow’s threats. We apply more than a century of engineering excellence to solve complex, meaningful problems that create a safer, more secure world. We are seeking a Principal Systems Engineer to support a growing Data Analytics & Systems Engineering team within the Transformation & Initiatives (T&I) organization. The engineer will contribute expert-level technical execution in data engineering, analytics, ETL pipeline development, AI/ML‑enabled analysis, and systems-level data integration supporting Raytheon Missiles & Defense programs. This is an experienced technical contributor role. The P4 engineer independently executes complex analytics and integration tasks, supports multi‑disciplinary engineering teams, and advances improvements in data workflows and processes. In addition, the P4 provides day‑to‑day technical guidance and direction to early‑career engineers, ensuring high‑quality execution and consistent engineering practices across the team while contributing significantly to the broader engineering transformation effort. This position is located onsite in Lexington Park, MD.

Requirements

Typically requires a degree in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 8 years prior relevant experience in systems engineering, data engineering, data analytics, or a related technical field.
Experience with Python, SQL, and modern data engineering workflows.
Prior experience performing data analysis, automation, or ETL development.

Nice To Haves

Experience with Snowflake, ClickHouse, Apache Superset, Power BI, Tableau, or similar analytical tools.
Experience building automation, dashboards, or predictive analytics models.
Familiarity with AI/ML techniques (forecasting, anomaly detection, NLP).
Background in defense systems engineering, sensors, radars, or weapon systems (preferred but not required).
Background in radar, sensors, command & control, or complex defense systems (desired but not required).
Active DoD Secret or Top Secret clearance.
Master’s degree in Engineering, Computer Science, Data Science, or related field.

Responsibilities

Build, maintain, enhance, and troubleshoot ETL pipelines and engineering data workflows.
Develop and apply analytics using Python, SQL, and enterprise data platforms (Snowflake, ClickHouse, Superset, Power BI, Tableau).
Perform data modeling, statistical analysis, trend identification, and automation to support program decision-making.
Implement ML- or NLP‑based analytic modules (e.g., anomaly detection, ambiguity analysis) under technical direction.
Support system-level data integration, requirements traceability, and cross-tool alignment.
Prepare technical documentation, process artifacts, and repeatable workflows that improve engineering efficiency.
Ensure data quality, validation, and consistency across engineering baselines.
Collaborate with engineering, program management, and operations teams to translate data into actionable insights.
Communicate results clearly to technical audiences and internal stakeholders.
Provide mentorship to early-career engineers or interns on tools and analytical methods