Data Engineer

We are seeking a talented, experienced, and highly-motivated Data Research Engineer to join the Computational Intelligence and Visualization Applications Department of the Applied Research Laboratory (ARL) at Penn State. You will assist in providing our customers with state-of-the-art visualization and decision support software based solutions.

ARL’s purpose is to research and develop innovative solutions to challenging scientific, engineering, and technology problems in support of the Navy, the Department of Defense (DoD), and the Intel Community (IC).

ARL is an authorized DoD Skill Bridge partner and welcomes all transitioning military members to apply.

• Assemble large, complex sets of data that meet research requirements
• Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using cloud and SQL technologies
• Integrate analytical tools to utilize the data pipeline, solving research problems posed by the stakeholders and data science team
• Work with a team of engineers, faculty, students and customers and to assist them with data-related technical and resource issues
• Execute tasking within an Agile development process
• Keep current with relevant emerging technologies and trends by attending conferences and workshops relevant to department and project goals

• Coordinate Data Engineering related research and development activities between disciplines involving exploration of subject area, definition of scope and selection of problems for investigation and development of novel concepts and approaches
• Mentor and train employees in the development of Data Engineering related technical, project, and business development skills

This job will be filled at the Intermediate Professional or Advanced Professional level, depending upon the successful candidate's education, and experience. Minimally requires a Bachelor’s Degree in an Engineering or Science discipline plus 2 years of related experience for the intermediate professional level. Additional education and/or experience required for higher level positions.

• Data flow automation using NiFi or similar applications
• PostgreSQL

• PostGIS
• Python
• FastAPI
• Security+ or similar level of certification
• Active TS/SCI clearance
• Master's Degree

The position will be located in either State College, PA or Reston, VA.

ARL at Penn State is an integral part of one of the leading research universities in the nation and serves as a University center of excellence in defense science, systems, and technologies with a focus in naval missions and related areas.

You will be subject to a government security investigation, and you must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.

FOR FURTHER INFORMATION on ARL, visit our web site .psu.edu.

The salary range for this position, including all possible grades is:

$86,300.00 - $

Salary Structure - additional information on Penn State's job and salary structure.

CAMPUS SECURITY CRIME STATISTICS:

Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters.

The ASR is available for review here.

Employment with the University will require successful completion of background check(s) in accordance with University policies.

EEO IS THE LAW

Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact .

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