Urgent! COSMOS - Data Engineer IV Job Opening In Little Rock – Now Hiring University of Arkansas System
Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via , then access Find Jobs from the Workday search bar to view and apply for open positions.
Students at University of Arkansas System two-year institutions will also view open positions and apply within Workday by searching for “Find Jobs for Students”.
All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated).
If you close the browser or exit your application prior to submitting, the application process will be saved as a draft.
You will be able to access and complete the application through “My Draft Applications” located on your Candidate Home page.
Closing Date:
Type of Position:
Workstudy Position:
Job Type:
Work Shift:
Sponsorship Available:
Institution Name:
The University of Arkansas at Little Rock is a metropolitan research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities.
At UA Little Rock, we prepare our more than 8,900 students to be innovators and responsible leaders in their fields.
Committed to its metropolitan research university mission, UA Little Rock is a driving force in Little Rock's thriving cultural community and a major component of the city and state's growing profile as a regional leader in research, technology transfer, economic development, and job creation.
Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening.
To apply for the position, please click theApply link/button.
If you have a disability and need assistance with the hiring process please contact Human Resources at 501-916-3180.
For general application assistance or if you have questions about a job posting, please contact Human Resources at 501-916-3180.
Department:
Department's Website:
Summary of Job Duties:
Qualifications:
Required Education and/or Experience:
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, software engineer, database administrator, or other similar roles;
The candidate must have 2+ years of experience leading a team of data engineers;
Having a Ph.D. degree in Computer Science, Information Science, or a related discipline is a plus.
Job Duties and Responsibilities:
Lead a team of data engineers;
Collecting and analyzing raw data from various sources, including social media platforms;
Organize and maintain datasets;
Improving data quality and process efficiency;
Design and manage data ETL pipelines that encompass the journey of data from source to destination systems, processing 10 million+ data points daily, utilizing Kafka for real-time data streaming and MongoDB for NoSQL storage across Kubernetes clusters;
Design and deploy scalable microservices in Python and Golang, leveraging FlaskAPI, GraphQL, and Docker, ensuring sub-second response times and efficient concurrency with goroutines;
Migrated large amounts of data from legacy databases to MongoDB to achieve sub-second access latencies and optimize storage for unstructured data through Elasticsearch integration;
Set up and manage the infrastructure required for ingestion, processing, and storage of data;
Evaluate the model needs and objectives, interpret trends and patterns of data;
Conduct complex data analysis and report on results;
Prepare data for analysis and reporting by transforming and cleansing it:
Combining raw information from different sources;
Explore ways to enhance data quality and reliability;
Identify opportunities for data acquisition;
Develop analytical tools and programs;
Collaborate with teams at COSMOS on several projects;
Managing services and operational infrastructure for system reliability and resiliency;
Creating continuous integration continuous deployment (CI/CD) pipelines with Jenkins and GitLab CI for automating service/system deployment;
Integrate Prometheus for monitoring, Grafana for real-time dashboarding/visualization, and log analysis with Kibana sourced from Elasticsearch;
Front-end development (HTML/CSS, JavaScript, Node.js, etc.);
Training machine learning (ML) models on datasets;
Creating continuous integration continuous deployment (CI/CD) pipelines with Jenkins and GitLab CI for automating service/system deployment:
Integrate Prometheus for monitoring, Grafana for real-time dashboarding/visualization, and log analysis with Kibana sourced from Elasticsearch;
Front-end development (HTML/CSS, JavaScript, Node.js, etc.);
Deploying machine learning (ML) models;
Enhance the system’s fault tolerance by incorporating alert mechanisms;
Develop frameworks like Spring Boot, React:
Work on other tasks as asked.
Knowledge, Skills, and Abilities:
Expert proficiency level in working with data models, data pipelines, ETL processes, data stores, data mining, and segmentation techniques;
Expert proficiency level in working with programming/scripting languages (e.g., Java and Python);
Expert proficiency level in working with data integration platforms and SQL database design;
Expert proficiency level in working with numerical, analytical, and data security skills;
Expert proficiency level in collecting raw data from various social media platforms;
Expert proficiency level in creating CI/CD pipelines;
Expert proficiency level with front-end development (HTML/CSS, JavaScript, Node.js, etc.);
Expert proficiency level with training and deploying machine learning (ML) models on datasets;
Ability to lead a large team of data engineers (5+ members);
Expert proficiency level with Kafka and MongoDB for NoSQL storage across Kubernetes clusters;
Expert proficiency level with microservices, Python, Golang, FlaskAPI, GraphQL, and Docker:
Expert proficiency level with Elasticsearch, Grafana, Prometheus, and Kibana;
Expert proficiency level in data modeling concepts (ERD, Dimensional Modeling, Data Vault) and data APIs (RESTful API);
Expert proficiency level in data processing software (e.g., Hadoop, Spark, TensorFlow, Pig, Hive) and algorithms (e.g., MapReduce, Flume);
Expert proficiency level in cloud platforms (AWS, Azure, GCP) and data warehousing solutions (Snowflake, Amazon Red Shift, Google BigQuery, Azure Synapse);
Expert proficiency level in technical communications.
Additional Information:
Salary Information:
Required Documents to Apply:
Optional Documents:
Special Instructions to Applicants:
Recruitment Contact Information:
Pre-employment Screening Requirements:
The University of Arkansas at Little Rock is committed to providing a safe campus community.
We conduct background checks for applicants being considered for employment.
Background checks include a criminal background check and a sex offender registry check.
For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening.
Required checks are identified in the position listing.
A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position.
Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.
Persons must have proof of legal authority to work in the United States on the first day of employment.
All application information is subject to public disclosure under the Arkansas Freedom of Information Act.
Constant Physical Activity:
Hearing, Manipulate items with fingers, including keyboarding, Repetitive Motion, Sitting, Standing, Talking, Walking
Frequent Physical Activity:
Occasional Physical Activity:
Benefits Eligible:
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your COSMOS Data Potential: Insight & Career Growth Guide
Real-time COSMOS Data Jobs Trends in Little Rock, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for COSMOS Data in Little Rock, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 45126 jobs in United States and 311 jobs in Little Rock. This comprehensive analysis highlights market share and opportunities for professionals in COSMOS Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! University of Arkansas System is currently hiring and seeking a COSMOS Data Engineer IV to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: COSMOS Data Engineer IV Jobs Little Rock.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at University of Arkansas System adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a COSMOS Data Engineer IV Jobs United States varies, but the pay scale is rated "Standard" in Little Rock. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for COSMOS Data Engineer IV typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for COSMOS Data Engineer IV, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your COSMOS Data Engineer IV interview at University of Arkansas System, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the University of Arkansas System's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for COSMOS Data Engineer IV is easy with United States Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!