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Data and Integration Specialist

Job in Charlottesville, Albemarle County, Virginia, 22904, USA
Listing for: University of Virginia
Full Time position
Listed on 2026-05-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Data and Integration Specialist

The College and Graduate School of Arts and Sciences IT Systems team at the University of Virginia seeks a Data and Integration Specialist. In this role you will build capacity across data management, analytics, automated workflows, and system integrations to support leadership reporting and create sustainable operational processes enterprise-wide.

Candidate Profile

You stay on top of trends and keep your skills sharp, but you know that delivering on commitments is your primary responsibility. You use innovative technology as an enabler, not just a playground. You spot gaps and opportunities, understand their importance, and collaborate on solutions before others do. You are comfortable writing a Python script and explaining its output to non‑technical stakeholders.

You pay attention to details because you have seen the downstream impact of overlooked nuances. You adapt when priorities shift and thrive in dynamic environments. You take ownership from conception to delivery, follow through without being asked, and elevate issues as needed to prevent stagnation.

What You Bring
  • a builder’s instinct for automation and integration, connecting systems, transforming data, and enabling workflows without manual intervention;
  • analytical rigor: gathering information, weighing options, and reasoning toward solutions rather than defaulting to habit or precedent;
  • the ability to translate technical work into clear, actionable language for faculty, department administrators, and college leadership;
  • clean, trustworthy output: accurate data, solid documentation, and configurations that remain reliable over time;
  • a track record of owning work from first draft to production, including governance and quality practices that ensure longevity.
Responsibilities
  • Design and build automated integrations and workflows between systems, leveraging APIs and AI‑assisted tooling to improve operational efficiency;
  • Partner with the existing Systems team to co‑develop analytics solutions, data pipelines, and reporting products for college departments and leadership;
  • Independently manage assigned projects and initiatives from planning through delivery, setting priorities, coordinating with stakeholders, and driving work to completion with minimal supervision;
  • Partner with project and program leads to understand and support their needs with robust technical solutions;
  • Establish and maintain data management practices across platforms, ensuring consistent approaches to data quality, documentation, security, and lifecycle management;
  • Serve as the primary administrator for the college’s Airtable data management environment, managing governance, base architecture, verified data sets, and operational configurations;
  • Maintain and support cloud‑hosted infrastructure and services in Azure;
  • Contribute to strengthening data and information security by implementing technical controls that address identified gaps;
  • Other duties as assigned.
Qualifications
  • Bachelor’s degree in computer science, information technology, data science, or a related field;
  • Four or more years of relevant professional experience.
Preferred Qualifications
  • Experience designing and building data workflows, including data transformation processes, reporting pipelines, and analytical models across multiple technology platforms;
  • Strong working knowledge of data management best practices, including data modeling, data security, data quality, and data governance principles;
  • Ability to implement controls such as access rules, classification approaches, quality checks, and documentation within production systems;
  • Experience administering a collaborative work‑management platform at an organizational level, including user management, structure and schema design, permissions, and standards enforcement (e.g., Airtable);
  • Demonstrated ability to build automated workflows and integrations connecting multiple systems using APIs, scripting, and modern automation tools, including emerging AI‑assisted approaches;
  • Experience with cloud infrastructure (Azure) to manage and maintain existing cloud‑hosted resources and services;
  • Experience with the Microsoft data and analytics ecosystem…
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