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Data Engineer Project Jobs in Oregon (NOW HIRING)

Sr. Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

The Sr. Data Engineer position is going to help the Digital Dash team pull data from various ... Demonstrable team leadership in moving features and projects forward through ambiguity to success

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Data Engineer

OR · On-site +1

$120K - $150K/yr

Who we're looking for Fieldwire is seeking a skilled Data Engineer to join our growing Data ... Trusted on 4M+ projects worldwide, Fieldwire by Hilti gives crews reliable access to plans, tasks ...

Data Engineer, Staff

Newberg, OR

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Works with Program and Project Managers to understand the features, do technical assessment, design ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Works with Program and Project Managers to understand the features, do technical assessment, design ...

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

As an accomplished data engineer joining the Data & Analytics team, this is a terrific opportunity ... Hands-on dbt experience building and maintaining dbt projects (models, tests, macros, documentation ...

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Works with Program and Project Managers to understand the features, do technical assessment, design ...

As a Project Engineer at GRI, you will gain experience working on a variety of interesting ... Ability to perform calculations and use tools to compute data Skilled in use and application of ...

As a Project Engineer at GRI, you will gain experience working on a variety of interesting ... Ability to perform calculations and use tools to compute data Skilled in use and application of ...

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

Lead projects from inception to production, taking accountability for data integrity and the ... Experience: 5+ years in data engineering, with at least 2+ years focused on distributed, large ...

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Data Engineer Project information

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

Are data engineers still in high 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. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.

What are popular job titles related to Data Engineer Project jobs in Oregon?

For Data Engineer Project jobs in Oregon, the most frequently searched job titles are:

What cities in Oregon are hiring for Data Engineer Project jobs?

Cities in Oregon with the most Data Engineer Project job openings:

Infographic showing various Data Engineer Project job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer

Eugene, OR • On-site

University of Oregon Foundation
Education Programs Administration • 11 - 50 employees

$100K/yr

Full-time

Posted 27 days ago


Job description

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