Principal/ Senior Principal Data Science Software Engineer
Summary
Job Description
Description
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.Today’s dynamic global security threats require solutions both big and small – solutions living within the Northrop Grumman Microelectronics Center (NGMC). Boasting state-of-the-art design capabilities, multiple processing nodes, electrical testing, environmental and QCI screening, and failure analysis, the NGMC is a leader in designing, fabricating, packaging, and delivering discriminating microelectronics to the military, aerospace, and commercial markets. For more than 70 years, we have been offering a wide range of trusted foundry and semiconductor services that deliver high performing and reliable microelectronics. Our wide breadth of technologies and capabilities allows us to provide our customers with unique “More than Moore” solutions. Microelectronics | Northrop Grumman
One of our most challenging new fields is Microelectronics Design and Applications (MDA), which combines the unique properties of superconductivity and quantum mechanics to develop radical new energy-efficient computing systems. MDA is seeking a Data Science Software Engineer with demonstrated ability to lead development of new technologies to support our innovative MDA team in support of emerging supercomputing technologies.
What You'll Get To Do:
As a Data Science Software Engineer, you will have an opportunity to be a part of a technology development organization that is collaborative, open, transparent, team-oriented, and flexible, where continuous learning is encouraged, all within a culture of design.
The selected individual requires expert level data engineering and software development skills and will be responsible for leading design teams in all phases of the development lifecycle including design, development, and test.
Candidates should have a solid foundation with best practices in software design, Continuous Integration / Continuous Delivery (CI/CD) tools and processes, and object-oriented programming. Candidates should be familiar with the Agile methodology of software development.
Roles and Responsibilities:
- Support internal stakeholders by driving solutions that are scalable, highly available, and consistent to optimize big data analysis capabilities.
- Collaborate with Product Owners, Architects, Developers, and other Data Engineers to help design, define, implement functional features, conduct system level validation and verify features of product development for a new system architecture.
- Mentor other team members in a business technical environment and promote an environment that supports innovation and process improvement.
- Deliver technical design documents, perform code reviews, and maintain robust state-of-the-art engineering practices.
Please note: Candidate's must be a US Citizen with the ability to obtain/ maintain a clearance.
This position is 100% onsite in Linthicum or Annapolis Junction, MD.
Basic Qualifications for Principal Data Science Software Engineer:
- Bachelor's degree in data science, software engineering, or related discipline with 5+ years of experience; master’s degree in data science, software engineering, or related discipline with 3+ years of experience; PhD and 0+ years of experience.
- Expert level skills in object-oriented Python required.
- Experience in optimizing SQL queries and performance tuning data pipelines.
- Proven ability to solve complex data problems, collaborate with cross-functional teams, and deliver high quality solutions.
- Experience in implementing REST services and APIs.
- Familiarity with microservices.
- Deep understanding of software testing principles and methodologies.
- Experience working in an engineering leadership role that executes all facets of building complex software in an Agile development environment.
- Strong data analysis and cross-functional communication skills.
- Willingness and ability to work onsite full-time.
- Applicant must be a US citizen with the ability to obtain/maintain a security clearance.
Basic Qualifications for Senior Principal Data Science Software Engineer:
- Bachelor's degree in data science, software engineering, or related discipline with 8+ years of experience; master’s degree in data science, software engineering, or related discipline with 6+ years of experience; PhD and 3+ years of experience.
- Expert level skills in object-oriented Python required.
- Experience in optimizing SQL queries and performance tuning data pipelines.
- Proven ability to solve complex data problems, collaborate with cross-functional teams, and deliver high quality solutions.
- Experience in implementing REST services and APIs.
- Familiarity with microservices
- Deep understanding of software testing principles and methodologies.
- Experience working in an engineering leadership role that executes all facets of building complex software in an Agile development environment.
- Strong data analysis and cross-functional communication skills.
- Willingness and ability to work onsite full-time.
- Applicant must be a US citizen with the ability to obtain/maintain a security clearance.
Preferred Qualifications for Principal/Senior Principal Data Engineer:
- React, Java and Node.js experience.
- Active clearance per business requirements.
- Familiarity with unstructured databases such as MongoDB.
- Familiarity with RDBMS.
- Experience working with a geographically distributed team.
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