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Research Engineer II, Data Engineer


Apply now Job no: 508221
Position Type: Staff
Location: Burlington, MA Campus - Eligible for Alternative Work Location, Charlotte, NC Campus - Eligible for Alternative Work Location, Portland, ME Campus - Eligible for Alternative Work Location, San Francisco, CA Campus - Eligible for Alternative Work Location, San Jose, CA Campus - Eligible for Alternative Work Location, Seattle, WA Campus - Eligible for Alternative Work Location, Washington, DC Campus - Eligible for Alternative Work Location
Categories: Kostas Research Institute

About Northeastern:

Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.

Our locations—in Boston; Charlotte, North Carolina; London; Portland, Maine; San Francisco; Seattle; Silicon Valley; Toronto; Vancouver; and the Massachusetts communities of Burlington and Nahant—are nodes in our growing global university system. Through this network, we expand opportunities for flexible, student-centered learning and collaborative, solutions-focused research.

Northeastern’s comprehensive array of undergraduate and graduate programs— in a variety of on-campus and online formats—lead to degrees through the doctorate in nine colleges and schools. Among these, we offer more than 195 multi-discipline majors and degrees designed to prepare students for purposeful lives and careers.

 

About the Opportunity:

The Kostas Research Institute (KRI) focuses on research and applications relating to national security challenges. Our diverse geospatial AI initiatives and prototype development have a current focus on force readiness and force protection to drive geospatial data to decisions and action. We are seeking a talented and motivated Geospatial Data Scientist /Engineer to join our growing team and collaborate with a cross-disciplinary team of engineers, PhDs, and Professors, as well as work independently.  As a member of our technical staff, you’ll be working in our private cloud and/or Azure to ingest a wide variety of data, run advanced machine learning algorithms, and apply data science principles. We value candidates who have interests in multiple areas from databases to DevOps/DeepOps to API design and are keen to learn in new areas and new technologies.

 

For superior candidates, we may consider options for remote work. Proximity to our satellite campus locations is preferred (Burlington MA, Seattle WA, and Arlington, VA). There will be travel to other KRI sites as required for conduct of the role (< 25% travel).

 

Responsibilities:

 

  • Build processing pipelines from which computer vision scientists can ask geospatial and temporal questions.
  • Keep data ingest and processing pipelines up-and-running within security parameters of ITAR/EAR and CUI space, potential extensibility to classified realm.
  • Make data storage high accessible, and scalable.
  • Contribute own ideas to machine learning.
  • Participate in small and tactical development teams using agile development principles, sprint planning, product and sprint backlog grooming, and standups etc.
  • Participate in customer meetings to present and discuss technical plans and milestones

 

Qualifications:

  • MS degree, or equivalent experience in relevant technical area
  • 1-5 years previous research experience
  • Familiarity with Linux systems, SQL, docker, k8s
  • Fluency in Python is required; experience in other languages (e.g., R, C+, C++) is valuable
  • Proficiency with git and modern distributed version control system practices
  • Code examples (preferably on github / bitbucket / etc) are required
  • Knowledge of high performance or large-scale computing infrastructure
  • Familiarity with satellite, CubeSat and/or UAV data (LiDAR experience is a plus).
  • Ability to communicate out and document progress (e.g. in Atlassian)

 


Preferred Qualifications:

 

 

Salary Grade:

 

Additional Information:

 

Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff.  Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion. 

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other  characteristic protected by applicable law.

To learn more about Northeastern University’s commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity.

 

Advertised: Eastern Daylight Time
Applications close:

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