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Fabric Data Engineer Jobs in Oregon (NOW HIRING)

AmeriSave Mortgage Corp.

$100K - $136K/yr

The Senior Data Engineer will report directly to the Senior Vice President of Enterprise ... Use Microsoft Fabric notebooks for transformation and orchestration where appropriate, leveraging ...

Tiger Analytics Inc.

OR · On-site

$63 - $83/hr

Ensure data security, governance, and compliance standards are met across all cloud environments. * Mentor junior architects and engineers on Azure cloud services and Fabric capabilities.

IP Fabric

Solution Architect - Post Sales

OR · On-site +1

$63 - $83/hr

... Fabric's network data platform. What You'll Need * 5+ years of experience in networking, solutions architecture, technical consulting, professional services, customer-facing engineering, or post ...

360training

Data Architect Manager

... as Microsoft Fabric, Databricks, Snowflake, Synapse, AWS, or similar technologies. The right ... Lead, coach, and develop a team of data engineers while establishing high standards for technical ...

IP Fabric

Senior Solution Architect - Pre-Sales

OR · On-site +1

As a Senior Solutions Architect at IP Fabric, you'll work with some of the most complex enterprise ... You'll partner closely with sales, product, and engineering to shape how we show value through AI ...

Nimble Gravity

CTO, Data Platforms

OR · On-site +1

You set the point of view on where Databricks, Fabric, and adjacent platforms fit, where they do ... You stay close enough to the technology to be credible with architects and engineers, and far ...

Montefiore

Senior Data Architect

Odell, OR

$69 - $92.25/hr

Evaluate and recommend technologies, tools, and platforms for data engineering, analytics, and AI ... Define modern data architecture patterns (e.g., medallion architecture, data mesh, data fabric ...

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All JobsFabric Data Engineer JobsFabric Data Engineer Jobs in Oregon

Fabric Data Engineer information

See Oregon salary details

$47K

$137.1K

$187.7K

How much do fabric data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for fabric data engineer in Oregon is $137,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $145,400.00 per year, depending on experience, location, and employer.

What is a Fabric Data engineer?

Fabric Data Engineers are professionals who specialize in designing, building, and maintaining data solutions using Microsoft Fabric, an end-to-end analytics platform. They work with data integration, transformation, and storage, ensuring data is accessible and reliable for business intelligence and analytics. Their responsibilities often include setting up data pipelines, integrating multiple data sources, and optimizing data flows for performance and security. Fabric Data Engineers collaborate closely with data analysts, data scientists, and other IT teams to provide robust data infrastructure.

How does a Fabric Data engineer typically collaborate with data analysts and business stakeholders?

As a Fabric Data Engineer, you will regularly partner with data analysts and business stakeholders to understand data requirements, design efficient data pipelines, and ensure data is accessible and reliable for reporting and analytics. Collaboration often involves participating in planning meetings, translating business needs into technical data models, and providing support for troubleshooting data issues. Clear communication and a proactive approach are essential, as you'll be bridging technical solutions with business objectives within cross-functional teams.

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

To thrive as a Fabric Data Engineer, you need strong skills in data modeling, ETL development, and cloud data platforms, typically supported by a degree in computer science or a related field. Proficiency with Microsoft Fabric, Azure Synapse, SQL, Power BI, and data integration tools, as well as relevant certifications, is highly valuable. Excellent problem-solving, collaboration, and communication skills help bridge the gap between technical teams and business stakeholders. These competencies are crucial for designing efficient data solutions, ensuring reliable analytics, and supporting organizational decision-making.

What is the difference between Fabric Data Engineer vs Fabric Data Analyst?

AspectFabric Data EngineerFabric Data Analyst
CredentialsBachelor's in CS, Data Science, or related; experience with data pipelinesBachelor's in Statistics, Data Analysis, or related; proficiency in data visualization tools
Work EnvironmentBuilds and maintains data infrastructure in cloud or on-premise environmentsAnalyzes data, creates reports, and visualizations for business insights
Employer & Industry UsageUsed in tech, finance, and enterprise sectors for data engineering rolesCommon in marketing, finance, and business intelligence teams

Fabric Data Engineers focus on designing and maintaining data pipelines and infrastructure, ensuring data availability and quality. Fabric Data Analysts interpret this data, creating reports and visualizations to support decision-making. Both roles often collaborate but serve different functions within data teams.

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

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

What job categories do people searching Fabric Data Engineer jobs in Oregon look for?

The top searched job categories for Fabric Data Engineer jobs in Oregon are:

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

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

Fabric Data Engineer jobs near you
Infographic showing various Fabric Data Engineer job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $137,147 per year, or $65.9 per hour.

Data Engineer

University of Oregon Foundation

Eugene, OR • On-site

$100K/yr

Full-time

Posted 7 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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