Note: The job is a remote job and is open to candidates in USA. Northrop Grumman is a leading technology company focused on revolutionary systems impacting lives globally. They are seeking a Data Engineer to lead the design and development of data products and pipelines, collaborating with business stakeholders to empower decision-making through data.
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
Skills
- Master's degree in Computer Science, Software Engineering, or a similar STEM related technical discipline with a minimum of 3 years of Data Engineering or Software Development experience; OR a Bachelor's degree in Computer Science, Software Engineering, or a similar STEM related technical discipline with a minimum of 5 years of Data Engineering or Software Development experience is REQUIRED
- Must have experience with Python and SQL
- Must have experience with AWS, containerization, and Git
- PhD in Computer Science, Software Engineering, or a similar STEM related technical discipline with a minimum of 4 years of Data Engineering and/or Software Development experience; OR a Master's degree in Computer Science, Software Engineering, or a similar STEM related technical discipline with a minimum of 6 years of Data Engineering or Software Development experience; OR a Bachelor's degree in Computer Science, Software Engineering, or a similar STEM related technical discipline with a minimum of 8 years of Data Engineering or Software Development experience is REQUIRED
- Must have experience with Python and SQL
- Must have experience with AWS, containerization, and Git
- Experience with Databricks is a must
- The ideal candidate will have a Master's degree in Computer Science with 8 years of Data Engineering experience, using Python/PySpark and SQL within Databricks to build data engineering and machine learning models
- 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
- 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
- Secret clearance
Benefits
- Flexible work arrangements
- Phenomenal learning opportunities
- Exposure to a wide variety of projects and customers
- A very friendly team environment
- 9/80 work schedule
- A great 401k matching program
- Overtime
- Shift differential
- Discretionary bonus in addition to base pay
- Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results
- Employees in Vice President or Director positions may be eligible for Long Term Incentives
- Health insurance coverage
- Life and disability insurance
- Savings plan
- Company paid holidays and paid time off (PTO) for vacation and/or personal business
Company Overview
Northrop Grumman is an aerospace, defense and security company that provides training and satellite ground network communications software. It was founded in 1994, and is headquartered in Falls Church, Virginia, USA, with a workforce of 10001+ employees. Its website is https://www.northropgrumman.com.