Data Engineer

University of Tennessee • Knoxville, TN

7d • Hybrid

About The Position

The University of Tennessee Foundation, Inc. (UTFI) is hiring a Data Engineer to implement, maintain, monitor, and optimize enterprise ETL/data pipelines and data transformation solutions across cloud and on-premise environments. The role supports reliable, timely data movement among platforms including Salesforce, Microsoft Fabric, Azure Data Factory, SFTP environments, and enterprise data warehouses for operational reporting, analytics, dashboards, and business processes.

The Data Engineer collaborates with BI analysts, CRM administrators, Data Platform teams, and Data Science initiatives to support business requirements, semantic-layer development, reporting transformations, and analytics-ready datasets. The role also maintains technical documentation, follows data governance, security, and change-management standards, and researches technologies and practices that can improve data engineering and reporting capabilities.

The position reports to the Executive Director of Business Intelligence and Analytics. The target start date is December 2026. The role involves travel responsibilities and requires a valid driver’s license with an acceptable driving record.

Requirements

• Bachelor’s degree.
• At least 5 years of progressively responsible experience in business intelligence, enterprise data engineering, CRM technologies, analytics, business systems, or related technical disciplines; candidates with a graduate degree must have at least 3 years of experience.
• 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 Microsoft Fabric and/or Azure.
• Valid driver’s license with an acceptable driving record due to travel responsibilities. In general, a significant driving offense less than 12 months old will eliminate an application from consideration.

Nice To Haves

• 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.

Responsibilities

• Implement, monitor, maintain, and troubleshoot enterprise ETL and data pipelines connecting Salesforce, cloud platforms, SFTP environments, Tableau, and enterprise data warehouse solutions.
• Rerun failed ETL jobs, reporting tables, and scheduled integration processes to keep reporting and operational data available on time.
• Support daily data processing and time-sensitive reporting requirements.
• Monitor pipeline execution and tune integrations to detect issues early and improve reliability.
• Develop and maintain reporting views, transformation logic, curated datasets, and semantic-layer objects for business intelligence and analytics.
• Translate 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.
• Collaborate with BI analysts, CRM administrators, and Data Platform teams on reporting, dashboarding, and operational data needs.
• Prepare and curate datasets supporting Data Science, predictive modeling, and AI initiatives.
• Participate in discussions about business requirements, reporting structures, and analytics solutions.
• Communicate technical issues, integration impacts, and implementation updates to technical and non-technical stakeholders, and troubleshoot 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 in data engineering, cloud data platforms, and analytics engineering.

Benefits

• Paid leave accruing up to 24 days of vacation and 12 days of sick leave annually.
• 14 paid holidays and administrative closing days.
• Flexible work arrangements, with a hybrid schedule offered to 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level