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Northrop Grumman · 9 hours ago

Data Engineer (Level 2 or Level 3)

United States

Full-time

Remote

Mid, Senior Level

$83K/yr - $155K/yr

2+ years exp

Northrop Grumman is a pioneering technology company with a rich history of innovation. They are seeking data engineers to work on fast-paced special projects that support critical business initiatives, focusing on building data products to enhance decision-making processes.

AerospaceData IntegrationManufacturingRemote SensingSecurity

Growth Opportunities

Responsibilities

Lead the design and development of data products for fast-paced special projects

Help shape the evolving data platform within CIDO by building reusable components and sharing ideas on architecture and best practices

Partner with business stakeholders, analysts, and data scientists to translate strategic questions into data products and pipelines

Design, code, test, and deploy production-grade data pipelines using Python/PySpark and SQL within Databricks

Translate business requests into design specifications and requirements to build data engineering models and structures that help scale our analytics

Own the end to end lifecycle of at least one data product—from initial discovery to production monitoring and iterative improvement

Qualification

Data engineeringPythonSQLAWSContainerizationGitSoftware engineering best practicesTechnical business consultingDomain-driven data ownership

Required

Bachelor's degree in a related discipline and at least 2 years of relevant professional experience for Level 2; Master's degree and zero years of experience

Bachelor's degree in a related discipline and at least 5 years of relevant professional experience for Level 3; Master's degree and 3 years of experience

Must have, at minimum, a Bachelor's degree in Computer Science, Software Engineering, or a related technical field

Level 2 - Minimum of 2 years of hands-on experience in data engineering, software engineering, or software development

Level 3 - Minimum of 5 years of hands-on experience in data engineering, software engineering, or software development

Experience with Python and SQL

Experience with AWS, containerization, and Git

Understand the importance of software engineering best practices in data development

Proven ability to tackle ambiguous, cross‑domain business problems and turn them into concrete data solutions

Proven ability to translate technical concepts and data requirements for business partners