Data Engineer
Analytics
Application Support
Azure
Azure Data Factory
Azure Data Platform
Azure Platform
Business Analytics
Business Intelligence
Business Systems
Cloud Data Engineering
Cloud Data Platform
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Crm Analytics
Crm Integration
Data Analysis
Data Analytics
Data Analytics Tools
Data Engineer
Data Engineering
Data Factory
Data Factory Azure
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Visualization
Data Visualization Tools
Data Viz
Data Warehouse
Database
Dataviz
Digital Marketing
ETL
Informatica
Integration
Marketing Technology
Microsoft Azure
Microsoft Fabric
Reporting and Analytics
Salesforce
Salesforce Crm
Tableau
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.