Data Engineer: AI Pipelines & Secure Data (Remote, Secret)

Raytheon; Austin (TX); On-site; USD 123,000 - 205,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Job summary

Raytheon is seeking a Data Engineer to join the Digital Technology, Data, Analytics & AI (DAAI) team. You will design and develop data solutions including ingest, transformation, modelling, and analytics, collaborating with data scientists, analysts, and stakeholders to ensure value, reliability, and trustworthiness of data solutions.

The role emphasizes data security, governance, and scalable pipelines across platforms such as Matillion, Databricks, SAP ecosystems, and a strong focus on

Qualifications

• Typically requires a University Degree or equivalent experience with 8+ years prior experience.
• 5+ years experience as a data engineer performing AI driven data analysis, data modeling, data transformations.
• Strong experience developing and optimizing ETL/ELT (Extract, Transform, Load) processes to ensure data quality and integrity with tools such as Matillion.
• Strong data modeling and architecture skills.
• U.S. Citizen - The ability to obtain and maintain a U.S. government issued security clearance is required.

Responsibilities

• Design, develop, optimize and maintain scalable data workflows and pipelines.
• Collaborate with data scientists, analysts, architects and stakeholders to understand data requirements.
• Perform data modeling to design and structure databases that support business requirements.
• Write and optimize SQL queries for data analysis, transformation and troubleshooting.
• Ensure data security and compliance with industry standards and regulations.
• Adhere to best practices, design patterns, and data governance mandates.
• Document data processes, workflows, and technical specifications.

Job description

Raytheon is seeking a Data Engineer to join the Digital Technology, Data, Analytics & AI (DAAI) team. You will design and develop data solutions including ingest, transformation, modelling, and analytics, collaborating with data scientists, analysts, and stakeholders to ensure value, reliability, and trustworthiness of data solutions.

The role emphasizes data security, governance, and scalable pipelines across platforms such as Matillion, Databricks, SAP ecosystems, and a strong focus on