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
Classified Title: Systems Engineer Role/Level/Range: ATP/04/PE Starting Salary Range: $71,230 - $97,880 - $124,510 annually (Commensurate with experience) Employee group: Full Time Schedule: Monday-Friday, 8:30 am - 5:00pm Exempt Status: Exempt Location: Homewood Campus (Hybrid) Department name: Chemistry Personnel area: School of Arts & Sciences
Total Rewards The referenced salary range is based on Johns Hopkins University's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/
Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines:
JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.
**Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date.
The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function.
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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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