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