Cosmos - Data Engineer I

University of Arkansas at Little Rock

Little Rock, United States
$60,000 annually py
On-site
Collect and manage data
Develop and maintain datasets
Improve data quality and efficiency
The University of Arkansas at Little Rock is seeking a Data Engineer I for its COSMOS Research Center. This full-time position involves data collection, management, and analysis to support research projects, requiring strong communication skills and proficiency in data processing

Job Summary

  • The Project/Program Specialist (Data Engineer I) will collect, manage, and convert raw data into usable information for analytics and decision-making.
  • This 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.
  • The Project/Program Specialist (Data Engineer I) 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.

Matching Summary

Match Score: 75

The University of Arkansas at Little Rock is seeking a Data Engineer I for its COSMOS Research Center. This full-time position involves data collection, management, and analysis to support research projects, requiring strong communication skills and proficiency in data processing.

Salary

$60,000 annually

Skills & Requirements

Must-have

  • collect and manage data
  • develop and maintain datasets
  • improve data quality and efficiency
  • interpret trends and patterns
  • build algorithms and prototypes
  • develop social media data collection pipelines

Nice-to-have

  • collaborate with researchers
  • contribute to cutting-edge research
  • work in social computing field

Key Requirements

  • Bachelor's degree in Computer Science, Information Science, or related discipline
  • Proficiency in programming/scripting languages (e.g., Java and Python)
  • Proficiency in data models, data pipelines, ETL processes, data stores, data mining, and segmentation techniques
  • Proficiency in data integration platforms and SQL database design
  • Proficiency in numerical, analytical, and data security skills

Work Rights

Not specified

Tailored Resume

Cover Letter