Data Engineer (Hybrid)

Location: US-NC-CHARLOTTE-2730 ~ 2730 W Tyvola Rd ~ TYVOLA

 Position Role Type: Hybrid

 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's 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. Collins Aerospace is a leader in technologically advanced, intelligent solutions that help redefine the aerospace and defense industry. With a comprehensive portfolio and deep technical expertise, we help customers meet the demands of the global market. Join us and help shape the future of aerospace and defense. We are seeking a skilled and highly motivated Data Engineer to join our Data & Analytics team in Collins Aerospace. In this role, you will be responsible for designing, developing, and maintaining robust data pipelines and infrastructure using latest technologies. You will work closely with cross-functional teams to support and contribute to the evolution of our data platform and capabilities. * * This is a hybrid position based at one of Collins' major facilities** What YOU will do: Data Engineering: Design, develop, and maintain data pipelines and ETL processes to support data analytics and reporting needs. Snowflake: Utilize Snowflake to manage data warehousing, including data modeling, schema design, and optimization. Matillion: Implement ETL processes using Matillion to integrate, transform, and load data from various sources into Snowflake. SQL: Write complex SQL queries for data retrieval, analysis, and reporting. Optimize queries for performance and efficiency. Data Quality: Ensure data quality and integrity by developing and implementing data validation and cleansing procedures. Collaboration: Work closely with data engineers, analysts, and business teams to understand data requirements and deliver solutions. Troubleshooting and Debugging: Investigate and resolve data issues, performance bottlenecks, and other technical challenges. Documentation: Create and maintain documentation for data processes, workflows, and architecture.

Core skills in Snowflake data modeling, secure data pipelines, and governed cloud data operations. How to develop and maintain SAP data integrations and structured data workflows across enterprise systems. Standardized methods for building reliable, compliant data solutions aligned with aerospace and defense requirements. Best practices in data quality, documentation, and audit‑ready engineering processes. Collaboration with senior engineers and cross‑functional teams on structured, requirements‑driven delivery. Fundamentals of modern data engineering tools and techniques, including version control and controlled release practices.

YOU Must Have: Typically requires a University Degree and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience Must be a U.S Citizen. About 3+ years of experience in data engineering role, with proficiency in designing, implementing, and optimizing data pipelines and ETL processes.

Proven experience as a Data Engineer with a background in Snowflake, Matillion, Alteryx, and Tableau or relevant ETL and RDBMS technologies. SQL Proficiency: Strong SQL skills, including experience with complex queries, joins, and aggregations. Data Visualization: