Senior Data Engineer at University of Oregon Foundation

Eugene, Oregon, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Apr, 26

Salary

0.0

Posted On

13 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Warehousing, SQL, ETL, ELT, Data Quality, Database Management, Postgres, Oracle, SQL Server, AWS, Data Governance, Analytics, Reporting, Collaboration, Mentorship

Industry

Education Administration Programs

Description

Description SUMMARY: The Senior Data Engineer supports the Foundation’s data, reporting, and analytics ecosystem by designing, building, and maintaining secure, scalable, and high-quality data solutions. This role leads in the development and optimization of the Foundation’s data warehouse, ETL/ELT pipelines, data models, and data quality frameworks to ensure trusted, timely data for fundraising, financial, and operational decisions. The Senior Data Engineer collaborates closely with cross-functional teams – including Financial Services, IT, and external partners – to integrate new data sources, streamline data movement, and support enterprise reporting and innovation. BEHAVIORAL EXPECTATIONS: Follows the principles of the Foundation’s core values: Trust Respect Integrity Commitment Motivated to value-add to the success of the Foundation Effective communicator Collaborative Dependable Detail-oriented Adaptable, receptive to change Teach through example and service Practice professional curiosity and desire to learn Excellent interpersonal skills and ability to work with a diverse constituency Maintain confidentiality Work safely ESSENTIAL DUTIES AND RESPONSIBILITIES: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Data Engineering & Warehousing Design, implement, test, deploy, and maintain scalable data engineering solutions and pipelines Build and manage data warehouse structures, including tables, views, routines (stored procedures, functions), and metadata documentation Integrate new internal and external data sources and optimize existing data models Ensure reliable, secure data flows between systems, applications, and affiliates ETL/ELT Development Build, optimize, and monitor automated ETL/ELT processes Produce efficient, replicable, version-controlled code to automate repetitive data management tasks Troubleshoot and resolve pipeline failures and performance bottlenecks Data Quality & Governance Establish and maintain data quality checks, validation routines, and exception handling Improve data accuracy, completeness, and consistency across systems Support data governance, documentation, and compliance standards Database & Platform Management Manage relational database environments (Postgres, Oracle, SQL Server) housed on AWS Optimize database performance, resource allocation, indexing, and storage strategies Support security, access control, and backup/restoration processes Analytics & Reporting Support Build and support datasets, views, and queries needed for enterprise reports and dashboards Partner with business analysts and report developers to deliver accurate, timely reporting Provide troubleshooting and technical guidance for data consumers across the Foundation Collaboration & Leadership Serve as a senior technical resource to cross-functional teams Participate in code reviews and ensure best practices in GitHub/version control Mentor junior data engineers or analysts (if applicable) Recommend and introduce innovative data engineering tools and methods OTHER DUTIES AND RESPONSIBILITIES: Projects Participates in on-going training, education, and staff meetings Other duties as assigned Requirements COMPETENCIES AND EXPERIENCE: Minimum 5 years of professional experience in data engineering or database development Strong expertise in data warehousing, relational database design, and SQL Hands-on experience with Postgres, Oracle, and/or SQL Server, ideally hosted on AWS Advanced skills in ETL/ELT development, job orchestration, and data pipeline automation Demonstrated ability to manage data quality processes and performance tuning Experience using GitHub or similar tools for version control Strong analytical skills and ability to translate business needs into technical solutions Effective communicator with proven success collaborating across teams PREFERRED QUALIFICATIONS: Understanding of fundraising, advancement, and accounting/finance data Exposure to Salesforce, MuleSoft, Python, Advancement RM, Apsona, or Tableau Experience supporting analytics/reporting environments Prior mentorship or coaching experience PHYSICAL DEMANDS AND WORK ENVIRONMENT: This job is conducted in an office work environment, sitting much of the time This position’s duties require use of a computer Must be able to exert up to 20 lbs. of force occasionally Some travel may be required

Responsibilities

The Senior Data Engineer designs, builds, and maintains data solutions to support the Foundation’s data ecosystem. This role involves optimizing data warehouses, ETL/ELT pipelines, and ensuring data quality for informed decision-making.