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Job Description

The University of Tennessee Foundation, Inc. is seeking a Data Engineer to build and support reliable enterprise ETL and data transformation capabilities across both cloud and on-premise environments. This hybrid role in Knoxville, TN focuses on timely, trusted data movement between platforms to enable reporting, analytics, dashboards, and operational business processes.

What you will do

  • Implement, monitor, maintain, and troubleshoot enterprise ETL and data pipelines that connect Salesforce, cloud platforms, SFTP environments, Tableau, and enterprise data warehouse solutions.
  • Rerun failed ETL jobs, reporting tables, and scheduled integration processes to keep operational and reporting data available on time.
  • Support daily data processing and time-sensitive reporting needs.
  • Monitor pipeline execution and tune existing integrations to identify issues early and improve reliability before they impact downstream analytics.
  • Develop and maintain reporting views, transformation logic, curated datasets, and semantic-layer objects that support business intelligence and analytics initiatives.
  • Convert business and reporting requirements into reporting-ready datasets and reusable transformation processes.
  • Create and update data warehouse objects, including tables, views, and stored procedures, and onboard new Salesforce fields and data sources into enterprise reporting environments.
  • Standardize business logic, KPI calculations, and reporting definitions, and optimize query and semantic-layer performance across analytics platforms.
  • Partner with BI analysts, CRM administrators, and Data Platform teams to address dashboarding and operational data needs.
  • Prepare and curate datasets that support Data Science, predictive modeling, and AI initiatives.
  • Participate in discussions on business requirements, reporting structures, and analytics solutions.
  • Communicate technical issues, integration impacts, and implementation updates clearly to both technical and non-technical stakeholders, and provide troubleshooting support for reporting and data integration issues.
  • Maintain technical documentation for ETL pipelines, workflows, transformation logic, semantic-layer objects, configurations, and support procedures.
  • Follow established standards and best practices for data governance, security, and change management.
  • Research emerging cloud, ETL, semantic modeling, and data engineering technologies to improve operational efficiency and reporting capabilities.
  • Participate in training and professional development related to data engineering, cloud data platforms, and analytics engineering practices.

Required qualifications

  • Bachelor’s degree
  • 5+ years of progressively responsible experience in business intelligence, enterprise data engineering, CRM technologies, analytics, business systems, or related technical disciplines.
  • Demonstrated experience designing enterprise data architecture.
  • Experience developing enterprise ETL/ELT initiatives.
  • Experience supporting enterprise CRM platforms, preferably Salesforce.
  • Experience developing enterprise reporting and analytics solutions.
  • Experience managing cloud-based data environments, preferably Fabric and/or Azure.
  • A valid driver’s license with an acceptable driving record is required due to travel responsibilities.

Technology areas

  • Salesforce
  • Microsoft Fabric
  • Azure Data Factory
  • SFTP
  • Tableau
  • Enterprise data warehouse
  • Cloud-based data environments

Benefits

  • Generous paid leave: up to 24 days of vacation and 12 days of sick leave annually, plus 14 paid holidays and administrative closing days.
  • Hybrid work arrangements for most team members.
  • Education benefits for employees and their dependents at UT System campuses.
  • Retirement and deferred compensation plans, including 401(k) and 403(b).
  • Comprehensive medical, dental, and vision insurance plans.
  • Employee discounts to attractions, services, and goods.

Preferred education and experience

  • Master’s degree in Computer Science, Information Systems, Data Science, Analytics, or a related field.
  • Experience with enterprise UT systems, including DASH, Marketing Cloud, and Salesforce.
  • Experience leading enterprise cloud modernization initiatives.
  • Experience with fundraising CRMs.

Application process

  • Priority is given to applications received on or before October 26 via the DASH application system.
  • Applications must include a completed candidate profile, cover letter, resume, and contact information for three professional references.
  • References will not be contacted without explicit permission of the candidate.

Target start date: December 2026

Location: Knoxville, TN (hybrid)

Candidate profile note: When determining minimum qualifications, only information entered into the candidate profile can be considered.

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