Principal Engineer Data

Northrop Grumman

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Quick summary

Work type: On-site
Location: Roy, UT
Salary: $98,400–$147,600 / yr
Employment: Full-time
Posted: 22 days ago
Freshness: Confirmed live today
Nearby: 93 roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $206k

This role $123k

$80k $270k

below market most similar roles pay here above market

This role pays less than 95% of similar roles. Most pay $161,437–$251,187 — the blue band above. At the midpoint, this role pays about $123k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About Northrop Grumman

Northrop Grumman is a leading global aerospace and defense technology company providing systems in autonomous systems, cyber, C4ISR, space, strike, and logistics. Industry: Aerospace & Defense

Northrop Grumman currently has 629 open roles on FindRole.

Listed pay typically runs $117,500–$176,300 across 314 roles with salary data.

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At a glance

TL;DR · Principal Engineer Data

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The Principal Engineer Data-19914 joins the Strategic Deterrence Systems Division to build and support production-ready data pipelines and reusable data engineering components. This role involves developing batch and streaming pipelines for ingesting, transforming, and publishing trusted Sentinel data. The engineer will create shared connectors, templates, and configuration-driven patterns while ensuring all components are secure, performant, testable, and observable. Key responsibilities include collaborating with platform engineers and stakeholders to translate requirements into robust pipelines, integrating data from enterprise systems of record, and supporting CI/CD processes. Required skills include experience with databases, pipeline orchestration, scripting languages, and version control using Git. Preferred technical expertise includes Apache Spark, Delta Lake, Databricks, Snowflake, and Apache Airflow. The work focuses on providing reliable data infrastructure for complex defense systems.

Skills

Data Engineering Apache Spark Delta Lake Databricks Snowflake Apache Airflow Git CI/CD Streaming Data Data Pipelines DAGs Logging Metrics Automated Testing

What you'll do

Build and maintain batch and streaming data pipelines for ingestion, transformation, and publishing.
Develop reusable data engineering components, shared connectors, and configuration-driven patterns.
Translate stakeholder requirements into robust pipelines and reusable components.
Ensure all pipelines are secure, performant, testable, and observable with proper logging and metrics.
Integrate data quality, governance, and compliance checks into data pipelines.
Support pipeline operations by integrating designs with orchestration, monitoring, and CI/CD processes.
Create documentation, examples, and proof-of-concept implementations to accelerate team delivery.

What we're looking for

U.S. Citizenship is required.
Must be able to obtain and maintain a U.S. Government DoD Secret security clearance and SAP approval.
Bachelor's degree with 5+ years of relevant experience; Master's with 3+ years; or PhD with 1+ years.
Four additional years of relevant experience may be considered in lieu of a formal degree.
Strong hands-on experience building data pipelines for ingestion, transformation, and publishing.
Solid software engineering skills including Git, code reviews, automated testing, and documentation.
Strong understanding of databases, pipeline orchestration, and pipeline scripting languages.
Experience building pipelines on platforms like Apache Spark/Delta Lake, Databricks, or Snowflake (preferred).