COSMOS - Data Engineer II
University of Arkansas at Little Rock
Full Time Entry-level / Junior USD 75K+
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Closing Date:
Type of Position:
Professional Staff (Non-Classified)
Workstudy Position:
Job Type:
Regular
Work Shift:
Sponsorship Available:
Institution Name:
University of Arkansas at Little RockThe 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.
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Department:
COSMOS
Department's Website:
Summary of Job Duties:
The Data Engineer II position is a full-time provisional with the COSMOS Research Center (cosmos.ualr.edu) at the University of Arkansas and is funded through a grant or contract. The position renewal is contingent upon continued grant funding and satisfactory job performance. The Data Engineer II 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. In addition, the other responsibilities include leading the development of social media data collection pipelines, inference methods and infrastructure, classification methods and infrastructure, and visualization dashboards. The Data Engineer II 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. Excellent communication and problem-solving skills are essential for this on-campus position as the data engineer's role is to find opportunities to contribute to cutting-edge research in the exciting field of social computing. This position is governed by state and federal laws, and agency/institution policy.The position reports to: Dr. Nitin Agarwal (nxagarwal@ualr.edu), Maulden-Entergy Endowed Chair and Distinguished Professor and Director, COSMOS Research Center, UA-Little Rock.
Qualifications:
Required Education and/or Experience:
The candidate must have a bachelor’s degree in Computer Science, Information Science, or a related discipline;
The candidate must have 1+ years of experience as a data engineer/software developer/software engineer/database administrator, or other similar roles.
Job Duties and Responsibilities:
Collecting and analyzing raw data from various sources including social media platforms;
Organize and maintain datasets;
Improving data quality and efficiency;
Design and manage data pipelines that encompass the journey of data from source to destination systems;
Setup 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;
Combine 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 (CICD) pipelines for automating service/system deployment;
Front-end development (HTML/CSS, JavaScript, Node.js, etc.);
Training machine learning (ML) models on datasets;
Deploying machine learning (ML) models;
Enhance the system’s fault tolerance by incorporating alerting mechanisms;
Work on other tasks as asked.
Knowledge, Skills, and Abilities:
Intermediate proficiency level in working with data models, data pipelines, ETL processes, data stores, data mining, and segmentation techniques;
Intermediate proficiency level in working with programming/scripting languages (e.g., Java and Python);
Intermediate proficiency level in working with data integration platforms and SQL database design;
Intermediate proficiency level in working with numerical, analytical, and data security skills;
Intermediate proficiency level in collecting raw data from various social media platforms;
Intermediate proficiency level in creating CI/CD pipelines;
Intermediate proficiency level with front-end development (HTML/CSS, JavaScript, Node.js, etc.);
Intermediate proficiency level with training and deploying machine learning (ML) models on datasets.
Additional Information:
Salary Information:
Required Documents to Apply:
Optional Documents:
Special Instructions to Applicants:
Recruitment Contact Information:
Maulden-Energy Chair and Donaghey Distinguished Professor
Director, COSMOS Research Center
All application materials must be uploaded to the University of Arkansas System Career Site https://uasys.wd5.myworkdayjobs.com/UASYS
Please do not send to listed recruitment contact.
Pre-employment Screening Requirements:
Criminal Background Check, Sex Offender RegistryThe 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.
The University of Arkansas is an equal opportunity, affirmative action institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of age, race, color, national origin, disability, religion, marital or parental status, protected veteran status, military service, genetic information, or sex (including pregnancy, sexual orientation, and gender identity). Federal law prohibits the University from discriminating on these bases. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.
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:
Hearing, Manipulate items with fingers, including keyboarding, Repetitive Motion, Sitting, Standing, Talking, Walking
Occasional Physical Activity:
Hearing, Manipulate items with fingers, including keyboarding, Repetitive Motion, Sitting, Standing, Talking, Walking
Benefits Eligible:
Yes
Tags: CI/CD Classification Computer Science Data analysis Data Mining Data pipelines Data quality ETL Java JavaScript Machine Learning Node.js Pipelines Python Research Security SQL
Perks/benefits: Career development Flex hours Home office stipend
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