Data Engineer

University of Arkansas

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Type of Position:
Professional Staff (Non-Classified)

Workstudy Position:


Job Type:


Work Shift:

Sponsorship Available:


Institution Name:

University of Arkansas at Little Rock

The University of Arkansas at Little Rock is a metropolitan research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be innovators and responsible leaders in their fields. Committed to its metropolitan research university mission, UA Little Rock is a driving force in Little Rock’s thriving cultural community and a major component of the city and state’s growing profile as a regional leader in research, technology transfer, economic development, and job creation.

Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening.  To apply for the position, please click the Apply link/button.

If you have a disability and need assistance with the hiring process please contact Human Resources at 501-916-3180.

For general application assistance or if you have questions about a job posting, please contact Human Resources at 501-916-3180.



Department’s Website:

Summary of Job Duties:

This position would be responsible for collecting, managing, and converting raw data process into information that can be interpreted by the data scientists at COSMOS research center. The data engineer position would enable data accessibility and the COSMOS team to utilize collected data for models’ performance, evaluation, and case studies. This position requires solid raw data analysis skills, developing and maintaining datasets, and improving data quality and efficiency. Leveraging data systems and pipelines, interpreting trends and patterns of data, complex data reports, and building algorithms and prototypes. He/she will work with the COSMOS research team to convert raw data into usable information for analytics and decision-making levels to the best possible performance metrics across various projects. He/she has excellent problem-solving and communications skills to work with project leaders in various COSMOS groups. This is an on-campus position. This position is governed by state and federal laws, and agency/institution policy.


Required Education and/or Experience:

  • A Bachelor’s degree in Computer Science, Information Science, or a related discipline.

Preferred Education and/or Experience:

  • Master’s or Ph.D. degree;

  • Data engineer certification (e.g., IBM Certified Data Engineer);

  • A candidate with prior experience in data engineering and dats management roles will be given preference.

Job Duties and Responsibilities:

  • Analyzing raw data;

  • Developing and maintaining datasets;

  • Improving data quality and efficiency;

  • Analyze and organize raw data ;

  • Design and manage data pipelines that encompass the journey of data from source to destination systems;

  • Setup and manage the infrastructure required for ingestion, processing, and storage of data;

  • Evaluate the model needs and objectives;

  • Interpret trends and patterns of data;

  • Conduct complex data analysis and report on results;

  • Prepare data for analysis and reporting by transforming and cleansing it;

  • Combine raw information from different sources;

  • Explore ways to enhance data quality and reliability;

  • Identify opportunities for data acquisition;

  • Develop analytical tools and programs;

  • Collaborate with cosmographers on several projects;

  • Other tasks as asked.

Knowledge, Skills and Abilities:

  • Technical expertise in data models, data pipelines, ETL processes, data stores, data mining, and segmentation techniques;

  • Excellent knowledge of programming/scripting languages (e.g., Java and Python);

  • Experience with data integration platforms and SQL database design;

  • Great numerical, analytical, and data security skills;

  • Degree in Computer Science, IT, or a similar field; a Master’s is a plus;

  • Data engineering certification (e.g., IBM Certified Data Engineer) is a plus;

  • Prior experience as a data engineer or in a similar role is a plus.

Additional Information:

Please upload all required documents in the “Resume” attachment section of your application (before hitting the submit button), if you want to be considered for this position.

Salary Information:


Required Documents to Apply:

Cover Letter/Letter of Application, Resume

Optional Documents:

Special Instructions to Applicants:

Recruitment Contact Information:

Dr. Nitin Agarwal, ([email protected]) (501)-916-5524
Director, COSMOS Research Center, UA-Little Rock

All application materials must be uploaded to the University of Arkansas System Career Site  

Please do not send to listed recruitment contact.

Pre-employment Screening Requirements:

No Background Check Required

The University of Arkansas at Little Rock is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.

The University of Arkansas at Little Rock is an equal opportunity employer committed to a diverse workforce.

The University of Arkansas at Little Rock is an equal opportunity, affirmative action employer and actively seeks the candidacy of minorities, women, veterans, and persons with disabilities. Under Arkansas law, all applications are subject to disclosure. Persons hired must have proof of legal authority to work in the United States.

Constant Physical Activity:
Sitting, Standing, Walking

Frequent Physical Activity:

Sitting, Standing, Walking

Occasional Physical Activity:

Sitting, Standing, Walking

Benefits Eligible:


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