About the Role
The position requires a blend of data science and engineering expertise to design, develop, and maintain data pipelines and analytical tools. The individual will work across platforms to extract insights and ensure data accessibility for stakeholders.
Responsibilities
- Design and implement data pipelines for large-scale datasets
- Develop and maintain ETL workflows and data transformation logic
- Support data modeling and database architecture improvements
- Collaborate with analytics teams to deliver reliable datasets
- Optimize data storage and query performance across systems
- Ensure data quality and integrity through validation processes
- Build and support dashboards and reporting tools
- Translate business requirements into technical data solutions
- Work with cloud-based data platforms and services
- Integrate data from multiple sources into unified formats
- Apply statistical methods to analyze and interpret data trends
- Document data structures, pipelines, and system workflows
- Troubleshoot and resolve data processing issues
- Maintain compliance with data governance standards
- Support machine learning initiatives with clean, structured data
- Collaborate with software developers on data-centric features
- Monitor system performance and data pipeline health
- Implement automation for repetitive data tasks
- Stay current with evolving data technologies and best practices
- Participate in code reviews and technical design discussions
Nice to Have
- Master’s degree in data science, computer science, or related field
- Experience with machine learning frameworks and pipelines
- Familiarity with containerization and orchestration tools
- Knowledge of data governance and metadata management
- Experience in higher education or research administration systems
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model with flexible scheduling options
Team
Collaborative team environment focused on innovation and technical excellence
About Us
- We develop software solutions that streamline research administration and improve data management for academic and research institutions.
- Our platforms support grant management, compliance, and financial reporting with a focus on usability and integration.
Culture and Values
- We value transparency, collaboration, and continuous improvement in both products and processes.
- Team members are encouraged to innovate, share ideas, and contribute to a supportive work environment.
Available for qualified candidates
