Current Openings
PARADIM Data Engineer
May 16, 2023
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.
This position may be primarily remote (90%). Occasional in-person trips to Cornell University and/or Johns Hopkins University will be needed for work directly involving software on new hardware. This requirement may best suit candidates located between Baltimore, MD and Ithaca, NY.
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
