Data Engineer - PARADIM Materials Innovation Platform
The Platform for the Accelerated Realization, Analysis, and Discovery of
Interface Materials (PARADIM), a National Science Foundation Materials
Innovation Platform developing the next generation of electronic and quantum
materials, is looking for a full-time PARADIM Data Engineer to join the
platforms materials data science team.
The successful candidate must be capable of designing and implementing
software solutions related to data acquisition, streaming, processing, and
storage, and should have a keen desire to partner with scientists developing a
versatile, real-time, streaming data infrastructure to enable discovery and
development of novel interface materials that will drive the quantum computing
revolution.
The ideal candidate will also have technical skills that complement a vision
and creativity to find solutions to connecting Big Data from diverse
experimental and computational laboratories as well as the rigor and experience
to develop high-quality, production software and data pipelines to address
these challenges. The ability to travel by car to the campuses of both Cornell
University in Ithaca, NY, and the Johns Hopkins University in Baltimore, MD, is
strongly preferred.
Specific Duties & Responsibilities
- With the chief data officer
and PARADIM leadership team, design and implement software solutions
related to data acquisition, streaming, processing, and storage, both
centrally and at end stations at both PARADIM Institutions (JHU and
Cornell).
- Work with PARADIM scientists
to design and implement a versatile, real-time, streaming data
infrastructure to enable discovery and development of novel interface
materials that will drive the quantum computing revolution.
- Implement software tools for
data analysis and interpretation as needed by the PARADIM platform.
- Participate in the design of
back-end and front-end systems to implement PARADIMs data vision.
- Research and implement new
technologies that could be beneficial to PARADIM.
- Evaluate, test and vet new
technology in support of PARADIM efforts.
- Work with vendors to procure
prototypes and demo units.
- Attend department and
University-sponsored training to increase knowledge, improve skills, and
learn new skills.
- May substitute University
training for supervisor approved commercial job-related course offerings.
Minimum Qualifications
- Bachelor's Degree
- Five years related experience
- Additional education may
substitute for required experience and additional related experience may
substitute for required education, to the extent permitted by the JHU
equivalency formula
Preferred Qualifications
The ideal candidate will also have technical skills that complement a vision
and creativity to find solutions to connecting Big Data from diverse
experimental and computational laboratories as well as the rigor and experience
to develop high-quality, production software and data pipelines to address
these challenges. The ability to travel by car to the campuses of both Cornell
University in Ithaca, NY, and the Johns Hopkins University in Baltimore, MD, is
strongly preferred.
- Proficiency in at least one
major object-oriented language such as Java, C++, or C#
- Proficiency in at least one
major software versioning and tracking platform (e.g. git, github, gitlab,
svn)
- Experience with python and
pydata packages such as jupyterlab, cython, numpy, tensorflow
- Experience working with
instrumental data
- Contributions towards
open-source software and commitment to open-source development
- Experience with Apache Kafka
or Confluent Platform
- Level of Independent Decision
Making
- Works independently
To Apply:
Interested candidates should apply at: https://jobs.jhu.edu/job/Baltimore-PARADIM-Data-Engineer-MD-21218/1027795600/