The University of Arkansas at Little Rock is seeking a Data Engineer IV for its COSMOS Research Center. This full-time position involves managing and analyzing data, leading a team, and collaborating on research projects, with a focus on social computing
Job Summary
The Data Engineer IV 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, complex data reports, and building algorithms and prototypes.
The Data Engineer IV 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: 85
The University of Arkansas at Little Rock is seeking a Data Engineer IV for its COSMOS Research Center. This full-time position involves managing and analyzing data, leading a team, and collaborating on research projects, with a focus on social computing.
Salary
$95,000; Not specified; Not specified
Skills & Requirements
Must-have
Develop and maintain datasets
Improve data quality and efficiency
Interpret trends and patterns of data
Lead social media data collection pipelines
Build algorithms and prototypes
Collaborate with researchers and developers
Nice-to-have
Contribute to cutting-edge research
Work in the field of social computing
Excellent communication and problem-solving skills
Key Requirements
Master's degree in Computer Science, Information Science, or related discipline with 4+ years of experience OR PhD degree with 2+ years of experience
2+ years of experience leading a team of data engineers
Expert proficiency in data models, pipelines, ETL, data stores, data mining, segmentation
Expert proficiency in programming/scripting languages (Java, Python)
Expert proficiency in data integration platforms and SQL database design
Expert proficiency in Kafka and MongoDB across Kubernetes clusters
Expert proficiency with microservices, Python, Golang, FlaskAPI, GraphQL, Docker
Expert proficiency with Elasticsearch, Grafana, Prometheus, Kibana
Ability to lead a large team of data engineers (5+ members)
Work Rights
Proof of legal authority to work in the United States