Data Engineer (Level 2 or Level 3)

Northrop Grumman•Waukee, IA

3d•Remote

About The Position

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. Northrop Grumman's Insights & Intelligence (i2) organization is looking for data engineers to work on fast-paced special projects to support critical business initiatives with executive sponsorship. This role is an opportunity for an individual that is deeply curious about how our business operates, is rigorous in their engineering practices and development, and enjoys building data products that enable teams to scale. You'll work directly with product owners from each domain, uncover hidden relationships in the data, and empower the business accelerate and enhance its decision-making. This position can be hired as a Level 2 or Level 3, depending upon the selected candidate's experience and education. This role can be performed as a virtual telecommuter.

Requirements

Bachelor's degree in a related discipline and at least 2 years of relevant professional experience; Master's degree and zero years of experience.
Bachelor's degree in a related discipline and at least 5 years of relevant professional experience; 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.
Minimum of 2 years of hands-on experience in data engineering, software engineering, or software development.
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.

Nice To Haves

Strong experience in deploying production software engineering products or data engineering products.
Experience in technical business consulting, ability to take customer requests from ambiguity to deployable product.
Knowledge of domain-driven data ownership concepts

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.