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Data Integration & Visualization Developer 26-025

Job

Old Dominion University Research Foundation

Norfolk, VA (In Person)

Full-Time

Posted 1 week ago (Updated 2 days ago) • Actively hiring

Expires 7/23/2026

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Job Description

Data Integration & Visualization Developer 26-025 Old Dominion University Research Foundation - 4.3 Norfolk, VA Job Details Full-time 7 hours ago Qualifications Performance dashboard reports Dashboard development Confidential information handling Data visualization software proficiency Data Integration (Data management) Business intelligence report generation Dashboard creation support SQL ETL process automation Bachelor's degree Database software proficiency Full Job Description Reporting to the Digital Analytics and Modeling pillar lead at the Virginia Digital Maritime Center, this position builds and maintains the data integration and visualization components that support research and applied projects across VDMC and VMASC. The developer designs extract, transform, load (ETL) pipelines, data models, and interactive dashboards that turn heterogeneous source data into usable analytics and key performance indicator (KPI) visualizations for project stakeholders. The role supports work across multiple projects rather than a single one, with workload coordinated among principal investigators across the two centers.
Job Responsibilities:
Design, build, and maintain dashboards and KPI visualizations for project stakeholders. Develop and maintain ETL pipelines integrating data from databases, APIs, files, and enterprise systems. Design and refine the data models underlying project analytics platforms. Write Python code for API connections, transformations, and automation. Perform data validation, cleaning, and reconciliation across sources. Document data sources, pipelines, models, and dashboards; produce technical and user documentation. Work with project leads and stakeholders to elicit requirements and support demos and reviews.
Minimum Qualifications:
Bachelor's in computer science or a related field. Experience building data pipelines and dashboards, including academic, internship, or project work. SQL; Python for data manipulation; familiarity with a modern BI/dashboarding platform (e.g., Power BI, Tableau, Looker); basic ETL concepts; relational data structures. Ability to handle confidential or sensitive data appropriately.
Preferred Qualifications:
Experience with Power BI (DAX, Power Query);
REST API
integration; ingestion from enterprise systems and varied file formats; R; cloud data familiarity. Microsoft Power BI Data Analyst Associate (PL-300) or comparable BI certification. Coursework, training, or exposure to modeling and simulation concepts or data. Prior contribution to an academic or sponsored research project. US person status (US citizen or permanent resident) preferred; US citizenship and eligibility for a US security clearance preferred for assignment to certain projects. This position is being filled through the Research Foundation , which is a separate entity from Old Dominion University (ODU). While we work in support of ODU, the Research Foundation operates independently and is a not-for-profit, tax-exempt 501(c)(3) organization. Please visit ODU Research Foundation website at http://researchfoundation.odu.edu; click on the employment tab and follow the link for position #26-025. Review of applications will begin immediately and will continue until the position is filled The organization is an equal opportunity and affirmative action employer (AA/EOE/M/F/Disability/VETS/Drug-Free Workplace). We are committed to providing equal employment opportunity to all individuals in accordance with applicable federal, state, and local laws. Employment decisions — including recruitment, hiring, training, compensation, and promotion — are made without regard to race, color, religion, sex, national origin, physical or mental disability, genetic information, age, protected veteran status, or any other protected characteristic. Affirmative action efforts are conducted consistent with applicable laws to promote equal opportunity in employment and advancement.