COSMOS - Data Engineer II

Summary of Job Duties

The Project/Program Specialist (Data Engineer II) position is a full‑time provisional with the COSMOS Research Center at the University of Arkansas and is funded through a grant or contract. The position renewal is contingent upon continued grant funding and satisfactory job performance. The role requires comprehensive data analysis skills, developing and maintaining datasets, improving data quality and efficiency through leveraging data systems and pipelines, interpreting trends and patterns of data, creating complex data reports, and building algorithms and prototypes.

In addition, the other responsibilities include leading the development of social media data collection pipelines, inference methods and infrastructure, classification methods and infrastructure, and visualization dashboards. The Project/Program Specialist (Data Engineer II) will collaborate with researchers, participate in research projects, and interact with other developers at the COSMOS research center and partner organizations to achieve the best possible performance metrics across various projects.

Excellent communication and problem‑solving skills are essential for this on‑campus position, as the data engineer's role is to find opportunities to contribute to cutting‑edge research in the exciting field of social computing. This position is governed by state and federal laws and agency/institution policy.

Reporting to Dr. Nitin Agarwal (nxagarwal), Maulden‑Entergy Endowed Chair and Distinguished Professor and Director, COSMOS Research Center, UA‑Little Rock.

• Collecting and analyzing raw data from various sources, including social media platforms.
• Organize and maintain datasets.
• Improve data quality and efficiency.
• Design and manage data pipelines that encompass the journey of data from source to destination systems.
• Set up and manage the infrastructure required for ingestion, processing, and storage of data.
• Evaluate 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 teams at COSMOS on several projects.
• Manage services and operational infrastructure for system reliability and resiliency.
• Create continuous integration continuous deployment (CICD) pipelines for automating service/system deployment.
• Front-end development (HTML/CSS, JavaScript, Node.js, etc.).
• Train machine learning (ML) models on datasets.
• Deploy machine learning (ML) models.
• Enhance system fault tolerance by incorporating alert mechanisms.
• Work on other tasks as asked.

• Intermediate proficiency in working with data models, data pipelines, ETL processes, data stores, data mining, and segmentation techniques.
• Intermediate proficiency in programming/scripting languages (e.g., Java and Python).
• Intermediate proficiency in data integration platforms and SQL database design.
• Intermediate proficiency in numerical, analytical, and data security skills.
• Intermediate proficiency in collecting raw data from various social media platforms.
• Intermediate proficiency in creating CI/CD pipelines.
• Intermediate proficiency with front‑end development (HTML/CSS, JavaScript, Node.js, etc.).
• Intermediate proficiency with training and deploying machine learning (ML) models on datasets.

• Required Education and/or
  
  Experience:
  
  
  • Bachelor's degree in Computer Science, Information Science, or a related discipline.
  • 1+ years of experience as a data engineer, software developer, database administrator, or other similar roles.
• Preferred Education and/or
  
  Experience:
  
  
  • Master's or Ph.D. degree.

$75,000 annually

Required Documents:
Resume. Optional Documents:
None specified.

Apply by clicking the Apply button. All application materials must be uploaded to the University of Arkansas System Career Site:  Please do not send application materials to the recruitment contact…