APPLICATION INSTRUCTIONS:

• CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.

• CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.

• If you are NOT a current employee or student, please click “Apply” and complete the application process for external applicants.

JOB DESCRIPTION AND POSITION REQUIREMENTS:

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 SkillBridge partner and welcomes all transitioning military members to apply.

You will:

• 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

Additional responsibilities of the higher level include:

• 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.

Required skills/experience areas include:

• Data flow automation using NiFi or similar applications

• PostgreSQL

Preferred skills/experience areas include:

• PostGIS

• Python

• FastAPI

• Security+ or similar level of certification

• Active TS/SCI clearance

• M