Data Engineer

The University of Tennessee Foundation, Inc. seeks a Data Engineer to build and improve enterprise ETL and data transformation pipelines across cloud and on-premise environments.

Responsibilities

• Implement, monitor, maintain, and troubleshoot enterprise ETL and data pipeline workflows connecting 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 requirements.
• Monitor pipeline execution and tune existing integrations to surface issues early and improve reliability for downstream analytics.
• Develop and maintain reporting views, transformation logic, curated datasets, and semantic-layer objects used for business intelligence and analytics.
• Convert business and reporting needs into reporting-ready datasets and reusable transformation processes.
• Create and update data warehouse objects including tables, views, and stored procedures, including onboarding new Salesforce fields and data sources into enterprise reporting environments.
• Standardize business logic, KPI calculations, and reporting definitions; optimize query and semantic-layer performance across analytics platforms.
• Collaborate with BI analysts, CRM administrators, and Data Platform teams to support reporting, dashboarding, and operational data needs.
• Prepare and curate datasets supporting Data Science, predictive modeling, and AI initiatives.
• Participate in discussions on business requirements, reporting structures, and analytics solution approaches.
• Communicate technical issues, integration impacts, and implementation updates to technical and non-technical stakeholders; 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.

Requirements

• Bachelor’s degree
• 5+ years of progressively responsible experience in business intelligence, enterprise data engineering, CRM technologies, analytics, business systems, or a related technical discipline.
• 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 due to travel responsibilities.

Technologies

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

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.

Location and Work Style

• Knoxville, TN (hybrid)

Benefits

• Generous paid leave: up to 24 days vacation and 12 days sick leave annually, plus 14 paid holidays and administrative closing days
• Flexible work arrangements with a hybrid schedule to most team members
• Education benefits for employees and 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

Application Process

• Priority 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
• Only information entered into the candidate profile will be considered when determining minimum qualifications

Target Start Date

• December 2026