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The University of Arkansas at Little Rock is seeking a Data Engineer I for its COSMOS Research Center, responsible for collecting, managing, and analyzing data to support research projects. The position requires a bachelor's degree in a related field and offers an annual salary of $60,000, with an emphasis on collaboration and innovation.
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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
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The University of Arkansas at Little Rock is seeking a Data Engineer I for its COSMOS Research Center, responsible for collecting, managing, and analyzing data to support research projects. The position requires a bachelor's degree in a related field and offers an annual salary of $60,000, with an emphasis on collaboration and innovation.
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Salary
$60,000 annually
Skills & Requirements
Must-have
Data collection and management
Data pipeline development
Improving data quality and efficiency
Interpreting trends and patterns
Building algorithms and prototypes
Social media data collection
Nice-to-have
Collaborate with researchers
Contribute to cutting-edge research
Social computing field
Key Requirements
Bachelor's degree in Computer Science, Information Science, or related discipline
Proficiency in working with data models, data pipelines, ETL processes
Proficiency in programming/scripting languages (e.g., Java and Python)
Proficiency in data integration platforms and SQL database design
Proficiency in numerical, analytical, and data security skills