COSMOS - Data Engineer IV

Summary of Job Duties

The Project/Program Specialist (Data Engineer IV) is a full‑time provisional position at the COSMOS Research Center, University of Arkansas at Little Rock. The role involves collecting, managing, and converting raw data into usable information for analytics and decision‑making. Responsibilities include developing and maintaining data sets, improving data quality and efficiency through data pipelines, interpreting trends, creating complex reports, and building algorithms and prototypes.

The specialist also leads data engineering teams, collaborates with researchers on projects, and develops social media data collection pipelines, inference methods, and visualization dashboards.

• The candidate must have a master’s degree in Computer Science, Information Science, or a related discipline.
• The candidate must have 4+ years of experience as a data engineer, software developer, database administrator, or similar role.
• The candidate must have 2+ years of experience leading a team of data engineers.
• Having a Ph.D. in Computer Science, Information Science, or a related discipline is a plus.

• Lead a team of data engineers.
• Collect and analyze raw data from various sources, including social media platforms.
• Organize and maintain datasets; improve data quality and process efficiency.
• Design and manage data ETL pipelines, processing millions of data points daily using Kafka and MongoDB across Kubernetes clusters.
• Design and deploy scalable microservices in Python and Golang, ensuring sub‑second response times.
• Migrate legacy databases to MongoDB and integrate Elasticsearch for efficient search.
• Set up and manage infrastructure for data ingestion, processing, and storage.
• Evaluate model needs, interpret data trends, and conduct complex analysis.
• Transform and cleanse data, combining sources and enhancing quality.
• Develop analytical tools and collaborate with COSMOS teams on projects.
• Manage services and operational infrastructure for system reliability.
• Create CI/CD pipelines with Jenkins and Git Lab CI; integrate Prometheus, Grafana, and Kibana for monitoring and visualization.
• Develop front‑end components (HTML/CSS, JavaScript, Node.js).
• Train and deploy machine learning models on datasets.
• Enhance fault tolerance with alert mechanisms.
• Implement frameworks such as Spring Boot and React.
• Perform other related tasks as needed.

• Expert proficiency with data models, pipelines, ETL processes, and data stores.
• Expert proficiency with programming languages (Java, Python).
• Expert proficiency with SQL database design and data integration platforms.
• Strong analytical and data security skills.
• Expert in collecting raw data from social media platforms.
• Expert in CI/CD pipelines and front‑end development.
• Expert in training and deploying machine learning models.
• Ability to lead a large team of data engineers.
• Expert in Kafka, MongoDB, Kubernetes, microservices, Docker, FlaskAPI, GraphQL.
• Expert in Elasticsearch, Grafana, Prometheus, Kibana.
• Expert in data modeling concepts and RESTful APIs.
• Expert in Hadoop, Spark, Tensor Flow, Hive, and related algorithms.
• Expert in cloud platforms (AWS, Azure, GCP) and data warehousing solutions (Snowflake, Red Shift, Big Query, Synapse).
• Excellent technical communication skills.

Criminal background check and sex offender registry check. Additional checks such as credit, MVR, and drug screening may apply as indicated in the position listing.

The University of Arkansas is an equal opportunity institution and does not discriminate on the basis of age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual orientation, or pregnancy.

Constant Physical Activity
:
Hearing, manipulating items with fingers (including keyboarding), repetitive motion, sitting, standing, talking, walking.
Frequent Physical Activity
:
Hearing, manipulating items with fingers (including keyboarding), repetitive motion, sitting, standing, talking, walking.
Occasional Physical Activity
:
Hearing, manipulating items with fingers (including keyboarding), repetitive motion, sitting, standing, talking, walking.