Principal Data Engineer: Secure, Scalable Pipelines

Northrop Grumman; Roy (UT); On-site; USD 98,000 - 148,000; Full time

Benefits offered by this job

Relocation assistance

Health insurance

Paid time off

Job summary

Northrop Grumman is seeking a Principal Data Engineer in Roy, UT to build and maintain production-ready data pipelines and reusable components. You will work with platform engineers and domain teams to transform requirements into robust, observable data solutions.

The role emphasizes security, reliability, and performance, with opportunities to contribute to shared data engineering patterns and governance. Travel is limited and relocation may be possible.

Qualifications

• Bachelor's degree or higher in a STEM field with 5+ years of relevant experience; or equivalent.
• Experience building data pipelines for ingestion, transformation, and publishing.
• Strong software engineering skills with version control, testing, and documentation.
• Experience with data platforms and orchestration tooling.
• Ability to collaborate with cross-functional teams to translate requirements into pipelines.

Responsibilities

• Build and maintain batch and streaming data pipelines and reusable data engineering components.
• Contribute to shared connectors, templates, and configuration-driven patterns.
• Collaborate with platform engineers and stakeholders to translate requirements into pipelines.
• Ensure pipelines are secure, performant, testable, and observable with logging and metrics.
• Contribute to documentation, examples, and proof-of-concept implementations.
• Support integration with orchestration, monitoring, and CI/CD processes.

Skills

Data pipelines

Software engineering

Observability

Collaboration

Communication

Education

Bachelor's degree in a related field

Master's degree

PhD

Tools

Apache Spark/Delta Lake

Databricks

Airflow

Snowflake

Git

Job description

Northrop Grumman is seeking a Principal Data Engineer in Roy, UT to build and maintain production-ready data pipelines and reusable components. You will work with platform engineers and domain teams to transform requirements into robust, observable data solutions.

The role emphasizes security, reliability, and performance, with opportunities to contribute to shared data engineering patterns and governance. Travel is limited and relocation may be possible.