Reliability & Data Engineer II

RTX•Plano, TX

1d•$68,900 - $131,100•Onsite

About The Position

The Radar Sensor Systems (RSS) organization within Raytheon’s Life Cycle Engineering (LCE) team is seeking a Reliability & Data Engineer to support the sustainment, performance analysis, and long‑term reliability of advanced radar systems. In this role, you will contribute to the lifecycle readiness of mission‑critical radar technologies by analyzing system performance data, identifying reliability trends, supporting failure investigations, and developing data‑driven insights that strengthen product dependability. You will collaborate closely with engineering, manufacturing, and program teams to ensure radar systems meet operational requirements throughout their lifecycle. This is a full‑time, on‑site position located in Plano, Texas.

Requirements

Typically requires a bachelor’s degree in science, Technology, Engineering or Mathematics (STEM) discipline and a minimum of 2 years of relevant experience
Ability to manage and analyze large datasets using Excel, including complex filtering, data matching, and trend analysis.
Programming languages and tools such as Python, SQL development (Microsoft SQL, My SQL, SQL Lite), and Tableau
Active and transferable U.S. government issued DoD Top Secret security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance

Nice To Haves

Experience with radar, electronic warfare, or similar electronic systems
Microsoft Office tools with emphasis on Excel for data analysis, using Pivot Tables, lookup functions, nested formulas, and spreadsheet automation.
MATLAB, JIRA, Linux
Familiarity with data visualization & Extract Transform Load (ETL)
Testing and debugging

Responsibilities

Support the program in the Failure Reporting And Corrective Action (FRACAS) process
Help define failure modes and their effects on systems
Collaborate with hardware/software design teams to identify and resolve non-conformances
Perform data analysis on large, complex data sets, generating actionable reports and recommendations
Analyze system logs to determine cause for system downtime
Utilize experience with various databases for data input, report generation and data management
Automate processes to enhance efficiency and scalability in handling large datasets
Collaborate with engineering teams to communicate findings and address technical challenges
Facilitate effective analysis of data and detection of failure patterns
Interface with stakeholders on issues observed in the fleet for system stability or performance improvements
Present information to internal stakeholders and external customers
Work in a SCIF environment