Cosmos - Data Engineer Iv

University of Arkansas at Little Rock

Little Rock, United States
$95,000 py
**
Develop and maintain datasets
Improve data quality and efficiency
Interpret trends and patterns of data
** The University of Arkansas at Little Rock is seeking a Data Engineer IV for its COSMOS Research Center. This full-time, on-site position will focus on data collection, management, and analysis to support research initiatives, requiring advanced technical skills and collaboration with various teams. **

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.
  • 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: 75

** The University of Arkansas at Little Rock is seeking a Data Engineer IV for its COSMOS Research Center. This full-time, on-site position will focus on data collection, management, and analysis to support research initiatives, requiring advanced technical skills and collaboration with various teams. **

Salary

$95,000

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
  • Design and manage data ETL pipelines
  • Deploy scalable microservices in Python and Golang
  • Create CI/CD pipelines with Jenkins and GitLab CI

Nice-to-have

  • Contribute to cutting-edge research
  • Problem-solving skills
  • Communication skills
  • Work with researchers and partner organizations

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 working with data models, data pipelines, ETL processes, data stores, data mining, and segmentation techniques
  • Expert proficiency in programming/scripting languages (e.g., Java and Python)
  • Expert proficiency in data integration platforms and SQL database design
  • Expert proficiency in collecting raw data from various social media platforms
  • Expert proficiency with Kafka and MongoDB for NoSQL storage across Kubernetes clusters
  • Expert proficiency with microservices, Python, Golang, FlaskAPI, GraphQL, and Docker
  • Expert proficiency with Elasticsearch, Grafana, Prometheus, and Kibana
  • Proof of legal authority to work in the United States

Work Rights

Not specified

Tailored Resume

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