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Open nowPosted yesterday

Data Engineer

University of Tennessee509 open roles

Where
Knoxville, TN, United States
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Your applicationOpen nowData EngineerUniversity of Tennessee · Knoxville, TN, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on University of Tennessee's own form.

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The clock on this job

Early applications get read.

9.0% of postings close within 7 days. Measured by our own scanner across the market. University of Tennessee postings stay open a median of 5 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.9%3 days
  3. 9.0%7 days
  4. 15.5%14 days
  5. 34.1%30 days
This job: posted yesterday

University of Tennessee median: 5 days open

The posting

Job Description

The University of Tennessee Foundation, Inc (UTFI) invites applications and nominations to fill the position of Data Engineer. Reporting to the Executive Director of Business Intelligence and Analytics, the Data Engineer is responsible for implementing, maintaining, monitoring, and optimizing enterprise ETL/data pipeline and data transformation solutions across cloud and on-premise environments. This position focuses on ensuring reliable and timely movement of data between platforms such as Salesforce, Microsoft Fabric, Azure Data Factory, SFTP environments, and enterprise data warehouse solutions to support operational reporting, analytics, dashboards, and business processes.

This role will collaborate closely with BI analysts, CRM administrators, Data Platform teams, and Data Science initiatives to support evolving business requirements, semantic-layer development, reporting transformations, and analytics-ready datasets.

Responsibilities

Job responsibilities include, but are not limited to:

ETL & Data Pipeline Support: Implements, monitors, maintains, and troubleshoots enterprise ETL and data pipelines connecting Salesforce, cloud platforms, SFTP environments, Tableau, and enterprise data warehouse solutions. Reruns failed ETL jobs, reporting tables, and scheduled integration processes to keep reporting and operational data available on time. Supports daily data processing and time-sensitive reporting requirements. Monitors pipeline execution and tunes existing integrations to catch issues early and improve reliability before they affect downstream analytics.

Data Engineering, Transformation & Semantic Layer Support: Develops and maintains reporting views, transformation logic, curated datasets, and semantic-layer objects that power business intelligence and analytics initiatives. Translates business and reporting requirements into reporting-ready datasets and reusable transformation processes. Creates and updates data warehouse objects, including tables, views, and stored procedures, while onboarding new Salesforce fields and data sources into enterprise reporting environments. Standardizes business logic, KPI calculations, and reporting definitions, and optimizes query and semantic-layer performance across analytics platforms.

Analytics & Reporting Support: Collaborates with BI analysts, CRM administrators, and Data Platform teams to meet reporting, dashboarding, and operational data needs. Prepares and curates datasets that support Data Science, predictive modeling, and AI initiatives. Participates in discussions on business requirements, reporting structures, and analytics solutions. Communicates technical issues, integration impacts, and implementation updates clearly to both technical and non-technical stakeholders, and provides troubleshooting support for reporting and data integration issues.

Documentation & Continuous Improvement: Maintains technical documentation for ETL pipelines, workflows, transformation logic, semantic-layer objects, configurations, and support procedures. Follows established standards and best practices for data governance, security, and change management. Researches emerging cloud, ETL, semantic modeling, and data engineering technologies to improve operational efficiency and reporting capabilities. Participates in training and professional development in data engineering, cloud data platforms, and analytics engineering practices.

Qualifications

Required Education and Experience

The candidate who fills the Data Engineer position is required to have:

  • 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 of the position. UTFI reserves the right to consider all appropriate circumstances. In general, any significant driving offense less than 12 months old will eliminate the application from consideration for the position.

Note - Candidates holding a graduate degree must have at least 3 years of experience.

Preferred Education and Experience

In addition to meeting the required qualifications, the preferred candidate will have:

  • 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 will be given to applications received on or before October 26th via our 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.

When determining minimum qualifications, only information entered into the candidate profile can be considered. Please ensure your candidate profile is completed in its entirety as it relates to qualifying education/work experience.

Questions about the search may be directed to [email protected].

Target Start Date: December 2026

Benefits: The Foundation’s greatest asset is our team. Foundation employees are eligible for a comprehensive suite of benefits that includes:

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

_________

The Foundation: The University of Tennessee Foundation, Inc. is a not-for-profit 501(c)3 organization that serves as the preferred channel for private contributions benefiting students and faculty within the UT System. With a vision of being one of the top-performing advancement organizations in higher education, UTFI is committed to enhancing the educational landscape across the University of Tennessee campuses.

The UT System: The University of Tennessee System is comprised of campuses at Knoxville, Chattanooga, Pulaski, Martin and the Health Science Center at Memphis; the Institute of Agriculture; and the Institute for Public Service.

The University of Tennessee Foundation, Inc. is an EEO/AA/Title VI/Title IX/Section 504/ADA/ADEA employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity, age, physical or mental disability, genetic information, veteran status, and parental status, or any other characteristic protected by federal or state law.

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