Northrop Grumman is a leading technology company known for its revolutionary systems that impact lives globally. They are seeking a Data Engineer to lead the design and development of products for special projects, working closely with business stakeholders to translate strategic questions into data solutions.
Responsibilities:
- Lead the design and development of 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 and models using Python/PySpark and SQL within Databricks
- Translate business requests into design specifications and requirements to build data engineering models, structures, and machine learning models that help scale our analytics
Requirements:
- Must have, at minimum, a Bachelor's degree in Computer Science, Software Engineering, or a related technical field
- Must have a minimum of 5 years of hands-on experience in data engineering, data science, or software engineering
- Must have experience with Python and SQL
- Must have 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
- Excellent communication skills, with a proven ability to translate technical concepts and data requirements for business partners
- Basic Qualifications for a Level 3: Bachelor's degree in a related discipline and at least 5 years of relevant professional experience; Master's degree and 3 years of experience
- Basic Qualifications for a Level 4: Bachelor's degree in a related discipline and at least 8 years of relevant professional experience; Master's degree and 6 years of experience
- 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