Raytheon is seeking a Data Engineer to design and develop data solutions to enhance their aerospace and defense capabilities, leveraging data to drive business impact and decision-making.
Requirements
- Experiencing developing and optimizing ETL processes
- Experience with Python for data transformation
- Proficiency in API integration (REST) and associated exchange security patterns
- Experience with cloud platforms, services and tools
- Experience using data integration tools such as Matillion
- Experience with Snowflake for data warehousing
- Data modeling and data architecture experience
Responsibilities
- Design, develop, and maintain scalable and efficient data pipelines to process data from various sources using tools such as Matillion and Databricks.
- Collaborate with data scientists, analysts, architects and other stakeholders to understand data requirements and translate them into technical solutions.
- Develop and optimize ETL (Extract, Transform, Load) processes to ensure data quality and integrity.
- Utilize Snowflake for data warehousing, ensuring efficient data storage and retrieval.
- Perform data modeling to design and structure databases that support business requirements.
- Write and optimize SQL queries for data transformation.
- Ensure data security and compliance with industry standards and regulations.
Other
- The ability to obtain and maintain a U.S. government issued security clearance is required.
- U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.
- DoD Clearance: Secret
- 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).
- RTX is an Equal Opportunity Employer.
