Analytics Engineer

Date Posted: 2026-07-15 Country: United States of America Location: US-FL-REMOTE Position Role Type: Remote U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. Security Clearance Type: None/Not Required Security Clearance Status: Not Required 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, 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. The Business Analytics team in Raytheon Digital Technology Operations, Supply Chain, and Quality is looking for a Analytics Engineer focused on the development and deployment of data-driven systems solutions designed to improve performance in the planning and execution of our business.  Primary areas of focus will include analyzing source enterprise resource planning (ERP) system information, curating and developing complex datasets that achieve business objectives while meeting data engineering best-practices. Our team collaborates closely with stakeholders and analysts within operations, supply chain, quality, and other core execution functions to identify supply and demand risks and provide recommendations through performant and trusted data products and complex data models. The role offers opportunity to participate in building various business critical solutions as well as the opportunity to solve unique business problems that arise on ad-hoc basis. The ideal candidate needs to be passionate about proper data engineering standards with analytical mindset to drive action through facts and data, possess the ability to effectively organize and distill data, proactively ask appropriate questions to understand hypotheses and requests, and analyze and communicate complex data in a compelling manner to a variety of audiences.  The candidate will have the opportunity to build strong partnerships and networks across the organization to learn the Raytheon business and grow as in a fast-paced environment. What You Will Do Develop and optimize complex batch and near-real-time SQL queries to meet product requirements and business needs. Architect, implement, deploy, and maintain data-driven solutions in Snowflake and Databricks. Develop and manage data pipeline supporting multiple reports, tools, and applications. Conduct advanced statistical analysis to yield actionable insights, identify correlations/trends, measure performance, and visualize disparate sources of data. Lead and engage in requirement planning, trainings, and presentations with technical and non-technical teams What You Will Learn SAP ERP/MES data sets, transactions, and backend databases Understanding of manufacturing and supply chain processes Foundational data sources and key performance metrics depended by Raytheon Operations and Supply Chain to build quality data products Designing, troubleshooting, and maintaining tasks, procedures, views, and ETL pipelines Qualifications You Must Have   Typically requires a University Degree or equivalent experience and minimum 5 years prior relevant experience, or An Advanced Degree in a related field and minimum 3 years of experience. Strong experience with Snowflake and relational SQL database design, implementation, and optimization. Hands‑on experience with data cleansing, curation, manipulation, mining, and analysis across disparate systems. Practical experience with Git-based configuration control and CI/CD pipelines (GitHub Actions, Jenkins, etc.). Qualifications We Prefer Degree in a technical field (CS, engineering, math, economics) and strong SQL‑based ETL/ELT expertise. Experience with Python (Pandas), schema/deployment tools (SchemaChange, Liquibase), and data orchestration platforms (Snowflake Tasks, ADF, Matillion, etc.). Knowledge of data modeling, Agile development, API-driven data solutions, and relational web app databases. Proficiency with analytics and visualization tools (Tableau, Power BI, advanced Excel) and statistical/ML concepts. Experience with manufacturing, supply chain, or operations systems; familiarity with ERP/MRP tools (SAP, Kinaxis). What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. Learn More & Apply Now! Please consider the following role type definition as you apply for this role. Remote : This position currently is designated as remote. Employees who are working in remote roles will work primarily offsite (from home) but may be expected to travel to the site location as needed. The successful candidate for this role will be required to reside and work from one of the 50 U.S. states (excluding U.S. territories). As part of our commitment to maintaining a secure h