Research Software Engineer IIIIII

Gainesville, FL - USA

Monthly Salary: Not Disclosed

Posted on: 24-10-2025

Vacancies: 1 Vacancy

Job Summary

Classification Title:	Research Software Engineer I/II/III
Classification Minimum Requirements:	The position title and level will be commensurate with experience. Level I - A Bachelors Degree in computer or physical science statistics bioinformatics analytics or similar field and two years of experience; Masters Degree in computer or physical science statistics bioinformatics analytics or similar field. Level II A Bachelors Degree in computer or physical science statistics bioinformatics analytics or similar field and three years of experience; Masters Degree in computer or physical science statistics bioinformatics analytics or similar field and one year of experience; Doctoral Degree in computer or physical science statistics bioinformatics analytics or similar field. Level III - A Bachelors Degree in computer or physical science statistics bioinformatics analytics or similar field and five years of experience; Masters Degree in computer or physical science statistics bioinformatics analytics or similar field and three years of experience; Doctoral Degree in computer or physical science statistics bioinformatics analytics or similar field and one year of experience.
Job Description:	This position will support the AI-Powered Athletics project which is a collaborative effort between the University of Florida (UF) and the University Athletics Association (UAA). A cornerstone of the project is an on-prem database that utilizes HiPerGator UFs AI supercomputer. The database integrates structured and unstructured data from UF student-athletes on health nutrition academic performance and sports performance including wearable sensors at practices and games. The role is to build and maintain the database including monitoring data ingestion managing data pipelines integrating new technologies and data types managing role-based access control ensuring industry standard documentation practices and implementing best practices to ensure stability security and sustainability. Additionally this role offers opportunities to collaborate on frontend development such as creating dashboards and user interfaces for coaching staff and researchers to access visualize and interpret the data. Ability to interact with faculty and staff from Engineering Research Computing UF IT Athletics and other areas is essential. This dynamic position will be integrated into the AI-Powered Athletics team which is led by Dr. Jennifer Nichols (Biomedical Engineering) and Spencer Thomas (University Athletics Association). Our mission is to contribute to the research education and athletic communities at UF with innovation in athletic performance AI and technology. Candidates will be expected to adhere to privacy regulations related to student-athletes including but not limited to HIPAA FERPA NCAA compliance and UAA reporting guidelines. Excellent communication skills and the ability to work on interdisciplinary teams is required. Learn more about the AI-Powered Athletics project at Learn more about HiPerGator at and scale the UF Athletics Databank Manage ingestion and storage of multi-modal structured and unstructured athlete data Integrate new data types and new technologies following good software design principles Build automated systems for ensuring data quality Implement and improve workflow orchestration to ensure data pipeline efficiency Provision monitor and troubleshoot the database infrastructure Create and maintain comprehensive software documentation Conduct through testing of the databank and workflow to ensure system reliability Collaborate on athletic research and education projects Collaborate with UF researchers front-end developers and athletics stakeholders to translate needs into technical requirements and features Implement schema changes feature flags and API contracts to ensure smooth reproducible data workflow Ensure security compliance and sustainability Enforce datagovernance and security best practices: implement rolebased access controls encrypt data at rest and in transit and ensure compliance with HIPAA FERPA NCAA reporting and UAA guidelines. Identify and communicate areas for improvement and continued development Design and implement audit processes. Continual improvement and professional development Stay abreast of advancements in relevant technologies and tools. May be required to perform other duties as assigned by supervisor as needed.
Expected Salary:	Salary is commensurate with education and experience
Required Qualifications:	The position title and level will be commensurate with experience. Level I - A Bachelors Degree in computer or physical science statistics bioinformatics analytics or similar field and two years of experience; Masters Degree in computer or physical science statistics bioinformatics analytics or similar field. Level II A Bachelors Degree in computer or physical science statistics bioinformatics analytics or similar field and three years of experience; Masters Degree in computer or physical science statistics bioinformatics analytics or similar field and one year of experience; Doctoral Degree in computer or physical science statistics bioinformatics analytics or similar field. Level III - A Bachelors Degree in computer or physical science statistics bioinformatics analytics or similar field and five years of experience; Masters Degree in computer or physical science statistics bioinformatics analytics or similar field and three years of experience; Doctoral Degree in computer or physical science statistics bioinformatics analytics or similar field and one year of experience.
Preferred:	Technical Skills Strong programming skills in Python and SQL Experience with analytical and relational database platforms (e.g. ClickHouse PostgreSQL MySQL or similar) Understanding of the full data lifecycle including ingestion orchestration cleaning and reporting using modern automation frameworks (e.g. Dagster Airflow PySpark and similar) Proficiency with Git/GitHub for collaborative development and version control Containerization proficiency with Docker or Apptainer (including networking volume management and CI/CD integration) Experience designing and implementing data lake/lakehouse architectures and working with columnar storage formats (e.g. Parquet Delta Lake) Strong Linux commandline scripting and systems administration skills Understanding of DevOps practices such as automated build test deploy pipelines and monitoring Robust datagovernance capabilities including metadata management lineage and adherence to regulatory compliance. Experience developing user-facing web applications or dashboards (e.g. Streamlit) and integrating with Snowflake Professional Skills Excellent written and verbal communication and interpersonal skills Excellent organizational skills and ability to prioritize and complete simultaneous projects with minimal supervision Ability to mentor undergraduate students and less experienced developers in building extending or maintaining codebases Accuracy attention to detail and commitment to developing efficient robust scalable modular and maintainable codebases. Commitment to continuous learning and applying best practices in data engineering
Special Instructions to Applicants:	In order to be considered for this position you must upload a cover letter and resume with application. This is a time-limited position. Application must be submitted by 11:55 p.m. (ET) of the posting end date.
Health Assessment Required:	No

Classification Title:Research Software Engineer I/II/IIIClassification Minimum Requirements:The position title and level will be commensurate with experience.Level I - A Bachelors Degree in computer or physical science statistics bioinformatics analytics or similar field and two years of experience;...

Classification Title:	Research Software Engineer I/II/III
Classification Minimum Requirements:	The position title and level will be commensurate with experience. Level I - A Bachelors Degree in computer or physical science statistics bioinformatics analytics or similar field and two years of experience; Masters Degree in computer or physical science statistics bioinformatics analytics or similar field. Level II A Bachelors Degree in computer or physical science statistics bioinformatics analytics or similar field and three years of experience; Masters Degree in computer or physical science statistics bioinformatics analytics or similar field and one year of experience; Doctoral Degree in computer or physical science statistics bioinformatics analytics or similar field. Level III - A Bachelors Degree in computer or physical science statistics bioinformatics analytics or similar field and five years of experience; Masters Degree in computer or physical science statistics bioinformatics analytics or similar field and three years of experience; Doctoral Degree in computer or physical science statistics bioinformatics analytics or similar field and one year of experience.
Job Description:	This position will support the AI-Powered Athletics project which is a collaborative effort between the University of Florida (UF) and the University Athletics Association (UAA). A cornerstone of the project is an on-prem database that utilizes HiPerGator UFs AI supercomputer. The database integrates structured and unstructured data from UF student-athletes on health nutrition academic performance and sports performance including wearable sensors at practices and games. The role is to build and maintain the database including monitoring data ingestion managing data pipelines integrating new technologies and data types managing role-based access control ensuring industry standard documentation practices and implementing best practices to ensure stability security and sustainability. Additionally this role offers opportunities to collaborate on frontend development such as creating dashboards and user interfaces for coaching staff and researchers to access visualize and interpret the data. Ability to interact with faculty and staff from Engineering Research Computing UF IT Athletics and other areas is essential. This dynamic position will be integrated into the AI-Powered Athletics team which is led by Dr. Jennifer Nichols (Biomedical Engineering) and Spencer Thomas (University Athletics Association). Our mission is to contribute to the research education and athletic communities at UF with innovation in athletic performance AI and technology. Candidates will be expected to adhere to privacy regulations related to student-athletes including but not limited to HIPAA FERPA NCAA compliance and UAA reporting guidelines. Excellent communication skills and the ability to work on interdisciplinary teams is required. Learn more about the AI-Powered Athletics project at Learn more about HiPerGator at and scale the UF Athletics Databank Manage ingestion and storage of multi-modal structured and unstructured athlete data Integrate new data types and new technologies following good software design principles Build automated systems for ensuring data quality Implement and improve workflow orchestration to ensure data pipeline efficiency Provision monitor and troubleshoot the database infrastructure Create and maintain comprehensive software documentation Conduct through testing of the databank and workflow to ensure system reliability Collaborate on athletic research and education projects Collaborate with UF researchers front-end developers and athletics stakeholders to translate needs into technical requirements and features Implement schema changes feature flags and API contracts to ensure smooth reproducible data workflow Ensure security compliance and sustainability Enforce datagovernance and security best practices: implement rolebased access controls encrypt data at rest and in transit and ensure compliance with HIPAA FERPA NCAA reporting and UAA guidelines. Identify and communicate areas for improvement and continued development Design and implement audit processes. Continual improvement and professional development Stay abreast of advancements in relevant technologies and tools. May be required to perform other duties as assigned by supervisor as needed.
Expected Salary:	Salary is commensurate with education and experience
Required Qualifications:	The position title and level will be commensurate with experience. Level I - A Bachelors Degree in computer or physical science statistics bioinformatics analytics or similar field and two years of experience; Masters Degree in computer or physical science statistics bioinformatics analytics or similar field. Level II A Bachelors Degree in computer or physical science statistics bioinformatics analytics or similar field and three years of experience; Masters Degree in computer or physical science statistics bioinformatics analytics or similar field and one year of experience; Doctoral Degree in computer or physical science statistics bioinformatics analytics or similar field. Level III - A Bachelors Degree in computer or physical science statistics bioinformatics analytics or similar field and five years of experience; Masters Degree in computer or physical science statistics bioinformatics analytics or similar field and three years of experience; Doctoral Degree in computer or physical science statistics bioinformatics analytics or similar field and one year of experience.
Preferred:	Technical Skills Strong programming skills in Python and SQL Experience with analytical and relational database platforms (e.g. ClickHouse PostgreSQL MySQL or similar) Understanding of the full data lifecycle including ingestion orchestration cleaning and reporting using modern automation frameworks (e.g. Dagster Airflow PySpark and similar) Proficiency with Git/GitHub for collaborative development and version control Containerization proficiency with Docker or Apptainer (including networking volume management and CI/CD integration) Experience designing and implementing data lake/lakehouse architectures and working with columnar storage formats (e.g. Parquet Delta Lake) Strong Linux commandline scripting and systems administration skills Understanding of DevOps practices such as automated build test deploy pipelines and monitoring Robust datagovernance capabilities including metadata management lineage and adherence to regulatory compliance. Experience developing user-facing web applications or dashboards (e.g. Streamlit) and integrating with Snowflake Professional Skills Excellent written and verbal communication and interpersonal skills Excellent organizational skills and ability to prioritize and complete simultaneous projects with minimal supervision Ability to mentor undergraduate students and less experienced developers in building extending or maintaining codebases Accuracy attention to detail and commitment to developing efficient robust scalable modular and maintainable codebases. Commitment to continuous learning and applying best practices in data engineering
Special Instructions to Applicants:	In order to be considered for this position you must upload a cover letter and resume with application. This is a time-limited position. Application must be submitted by 11:55 p.m. (ET) of the posting end date.
Health Assessment Required:	No