Associate Data Engineer/ Data Engineer

Northrop Grumman•Linthicum Heights, MD

14d•Onsite

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. As a Data 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. You will design, build, and maintain scalable data pipelines that collect, process, and store large datasets. Working closely with software engineers, data scientists, and architects, you will help deliver reliable, clean data that drives business-critical decisions across the organization. Candidates should have a solid foundation with best practices in data architecture, ETL processes, and object-oriented programming. Candidates should be familiar with the Agile methodology of software development. 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. This role can be filled at the Associate Data Engineer and Data Engineer level.

Requirements

Bachelor's degree in data science, software engineering, or related discipline with 0+ years of experience; master's degree in data science, software engineering, or related discipline with 0+ years of experience
Experience in object-oriented Python required.
Experience in designing, monitoring, and troubleshooting data pipelines and infrastructure.
Experience using relational databases, 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.
Deep understanding of data analysis and testing methodologies.
Willingness and ability to work onsite full-time.
Applicant must be a US citizen with the ability to obtain/maintain a security clearance.

Nice To Haves

Experience working in an Agile environment.
Experience working with business intelligence tools such as Tableau and JMP.
Familiarity with unstructured databases such as MongoDB.
Experience working with a geographically distributed team.
Active clearance per business requirements

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.
Deliver technical design documentation, perform code reviews, and maintain robust state-of-the-art engineering practices.