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Full Time Data Engineering Jobs in Eugene, OR (NOW HIRING)

University of Oregon Foundation

Data Engineer

Eugene, OR · On-site

$100K/yr

Job Type Full-time Description SUMMARY: The Data Engineer supports the Foundation's data, reporting, and analytics ecosystem by implementing scalable, high-quality data solutions under the direction ...

KPFF Consulting Engineers

Survey Party Chief

Eugene, OR · On-site

$35 - $50/hr

We collect field data using the latest survey grade equipment, including conventional total ... We work with engineers, architects, landscape architects, developers, and public agencies. You may ...

Sweatpals

Product Manager Internship

Eugene, OR

Data analysis and synthesis to support roadmap decisions * Where relevant, contribute to 0-to-1 ... Prior experience in product management, engineering, or a fast-moving startup role is highly ...

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All JobsData Engineering JobsFull Time Data Engineering JobsFull Time Data Engineering Jobs in Eugene, OR

Full Time Data Engineering information

See Eugene, OR salary details

$44.7K

$130.3K

$178.3K

How much do full time data engineering jobs pay per year?

As of Aug 31, 2026, the average yearly pay for full time data engineering in Eugene, OR is $130,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $138,100.00 per year, depending on experience, location, and employer.

What is a full time data engineer?

Full time data engineering jobs involve building, managing, and optimizing data pipelines and infrastructure to collect, process, and store large volumes of data for organizations. Data engineers work with technologies like SQL, Python, cloud platforms, and big data tools to ensure data is reliable and accessible for analytics and business decision-making. These roles typically require strong programming skills, knowledge of database systems, and experience with data modeling and ETL (Extract, Transform, Load) processes. Full time positions generally offer benefits and require a standard workweek commitment, often in tech, finance, healthcare, or other data-driven industries.

What are the key skills and qualifications needed to thrive as a full time data engineer?

To thrive as a Full Time Data Engineer, you need strong programming skills (such as Python or Java), proficiency in SQL, and a solid understanding of data modeling and ETL processes, usually supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop or Spark), cloud platforms (such as AWS or Azure), and relevant certifications (e.g., Google Cloud Data Engineer) is highly valuable. Excellent problem-solving, communication, and teamwork abilities distinguish top performers in this role. These skills ensure efficient data infrastructure development, reliable data pipelines, and effective collaboration with cross-functional teams to support business objectives.

What are some common challenges faced by full time data engineers, and how can they be addressed?

Full-time data engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality, and optimizing data pipelines for scalability and performance. These issues can be addressed by adopting robust ETL (Extract, Transform, Load) frameworks, implementing automated data validation tests, and collaborating closely with data analysts and software engineers to align on data requirements. Staying updated with the latest cloud technologies and best practices in data architecture also helps in overcoming these challenges and maintaining efficient, reliable data systems.

What is the difference between Full Time Data Engineering vs Part Time Data Engineering?

AspectFull Time Data EngineeringPart Time Data Engineering
Work HoursTypically 40 hours/weekLess than 20 hours/week
CredentialsRelevant degrees, certifications like AWS, GCP, or AzureSame as full-time, but often less emphasis on certifications
Work EnvironmentFull-time employment, often in corporate or tech firmsFreelance or contract basis, flexible locations
Job ResponsibilitiesDesigning, building, maintaining data pipelinesSupporting existing pipelines, smaller projects

Full Time Data Engineering involves a standard 40-hour workweek with comprehensive responsibilities in designing and maintaining data systems. Part Time Data Engineering offers flexible hours, often focusing on specific tasks or projects. Both roles require relevant technical skills and certifications, but full-time positions typically demand more extensive experience and commitment.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Organizations seek professionals skilled in tools like SQL, Python, and cloud platforms to build and maintain data pipelines, making this a stable and growing career field.

What are the most commonly searched types of Data Engineering jobs in Eugene, OR?

The most popular types of Data Engineering jobs in Eugene, OR are:

Full Time Data Engineering jobs near you
Infographic showing various Full Time Data Engineering job openings in Eugene, OR as of August 2026, with employment types broken down into 67% Full Time, and 33% Temporary. Highlights an 100% In-person job distribution, with an average salary of $130,276 per year, or $62.6 per hour.

Data Engineer

Eugene, OR • On-site

University of Oregon Foundation
Education Programs Administration • 11 - 50 employees
Learn more about University of Oregon Foundationexternal

$100K/yr

Full-time

Posted 19 days ago

Job description

Job Type
Full-time
Description
SUMMARY:
The Data Engineer supports the Foundation's data, reporting, and analytics ecosystem by implementing scalable, high-quality data solutions under the direction of the Senior Data Engineers. This role contributes to the development and maintenance 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 Data Engineer plays a critical role in supporting enterprise reporting and business intelligence needs - including Power BI and Alteryx-based solutions - serving internal and external customers such as University Advancement and the Foundation's accounting team. Strong technical skills are essential, as is the ability to collaborate effectively with cross-functional teams, translate data findings into actionable insights, and uphold the quality and integrity of Foundation data.
BEHAVIORAL EXPECTATIONS:
  • Follows the principles of the Foundation's core values:
  1. Trust
  2. Respect
  3. Integrity
  4. 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 accommodation may be made to enable individuals with disabilities to perform the essential functions.
Data Engineering & Pipeline Development
  • Implement, maintain, and optimize scalable ETL/ELT pipelines and data warehouse structures - including tables, views, stored procedures, and functions - producing clean, version-controlled, replicable code; troubleshoot and resolve pipeline failures, data discrepancies, and performance bottlenecks

Reporting & Analytics Support
  • Build and maintain reports, dashboards, datasets, views, and queries using Power BI and other enterprise reporting tools, delivering accurate and timely data insights to internal and external customers including the AAR team and the Foundation's accounting function
  • Utilize Alteryx for data preparation, transformation, and workflow automation; support and write structured code for additional enterprise reporting platforms including Microsoft SSRS, Salesforce, and related tools

Data Quality & Governance
  • Implement and maintain data quality checks, validation routines, and exception handling to ensure accuracy, completeness, and consistency of data across systems
  • Implement Foundation data security policies, compliance standards, and define data assets and models to populate data structures
  • Write, revise, and maintain program documentation, operational documentation, data models, and data flow documentation in accordance with Foundation standards

Database & Platform Management
  • Support relational database environments (Oracle, SQL Server, Postgres, Microsoft Fabric), including performance optimization, indexing, and access management
  • Execute system tests to ensure business continuity and successful code releases; unit test new or modified applications and participate in code reviews

Collaboration & Stakeholder Support
  • Collaborate closely with the Senior Data Engineers, receiving technical guidance and implementing solutions based on established designs; support the Senior Data Engineers' engagement with the Advancement Analytics & Reporting (AAR) team by implementing data warehouse structures, pipelines, and reporting datasets per AAR requirements; coordinate work through Jira
  • Support the Foundation's accounting function by building and maintaining Power BI and Alteryx-based reporting solutions, with particular focus on the Foundation's transition to NetSuite as its enterprise accounting platform
  • Collaborate with analytics, financial services, IT, university departments, and external partners to improve data models and increase data accessibility; contribute to project evaluations and improvement plans; engage actively in continuing education and staff meetings

OTHER DUTIES AND RESPONSIBILITIES:
  • Other duties as assigned

Requirements
COMPETENCIES AND EXPERIENCE:
  • Typically requires a bachelor's degree in Computer Science, Information Systems, or a related field, or 3 years of professional experience in data engineering or database development; equivalent combinations of education and experience will be considered
  • Experience with database application programming using Oracle, SQL Server, Microsoft Fabric, and/or Postgres
  • Considerable experience in SQL, schema design, and dimensional data modeling
  • Experience designing, building, and maintaining data processing systems and ETL/ELT pipelines
  • Experience with Salesforce required
  • Experience working with large data sets, including programmatic manipulation and transformation
  • Some experience with data lineage, data governance, and quality framework design
  • A meticulous commitment to the quality and integrity of data presented to the business
  • Strong communication skills; ability to communicate technical concepts to non-technical audiences
  • Strong analytical skills and ability to translate business needs into technical solutions
  • Demonstrated ability to manage data quality processes and performance tuning
  • Must be organized to effectively manage multiple projects and shifting priorities
  • Maintain confidentiality as required and appropriate
  • Customer service mindset

PREFERRED QUALIFICATIONS:
  • Experience with Power BI for reporting and dashboard development
  • Experience with Alteryx for data preparation and workflow automation
  • Experience with NetSuite or similar enterprise accounting/ERP systems
  • Experience using GitHub or similar tools for version control
  • Experience with Evergreen (Salesforce with Advancement RM) or similar fundraising CRM managed packages
  • Understanding of fundraising, advancement, and accounting/finance data
  • Experience supporting analytics and reporting environments

PHYSICAL DEMANDS AND WORK ENVIRONMENT:
  • This job is conducted in an office work environment, sitting most 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

Salary Description
$100,000/year

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