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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 ...

Planet Technologies

OR · On-site

$110K - $200K/yr

DP-700 - Fabric Data Engineer * Secret Clearance or ability to be cleared Planet Technologies is the leading provider of Microsoft Consulting Services to public sector and commercial organizations.

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.

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 · Remote

$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 ...

Internova Travel Group

Provide leadership and guidance to data engineers and developers in architecture, design ... Fabric, Snowflake, or comparable services * Solid experience in Azure Function Apps, Azure Logic ...

IP Fabric

OR · Hybrid

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

OR · On-site

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 · On-site

$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 ...

Cloud Destinations LLC.

Data Center

Hillsboro, OR · On-site

$35 - $40/hr

... of the best engineers are employed * * Our client is working on next generation data center ... Strong NW troubleshooting experience, ideally with Supermicro Servers, Infiniband Fabric and ...

New

ConnectWise

IT Enterprise Data Architect

OR · On-site +1

The role works in partnership with Internal IT, Data Engineering, Information Security, Business ... Strong hands-on experience with Snowflake, SQL, Microsoft Fabric, and Boomi integration ...

New

Weir

Data Analyst

Portland, OR

Experience with data engineering concepts and tools, including data bricks and data fabric technologies. * Familiarity with scaled agile frameworks and product lifecycle management. * Background in ...

Weir Group

Data Analyst

Portland, OR

Experience with data engineering concepts and tools, including data bricks and data fabric technologies. * Familiarity with scaled agile frameworks and product lifecycle management. * Background in ...

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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 9, 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, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $137,147 per year, or $65.9 per hour.

Senior Data Engineer

AmeriSave Mortgage Corp.

On-site, Remote

$100K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

Description
AmeriSave Mortgage Corporation has set the standard in online mortgage lending with over $130 billion in funded loan volume. As one of the top-rated, largest privately-owned online mortgage lenders in the nation, our mission is to deliver beneficial, responsible home lending solutions with unwavering integrity, dedication and excellence. As a leading mortgage lender, we pride ourselves on our innovative approach and commitment to customer satisfaction.
Our employees are the driving force behind our success. We believe in the power of a dynamic and talented workforce and creating an environment where your contributions are not just recognized, they're celebrated. Your success is our success, and we are seeking skilled professionals who are ready to bring their A-game, exceed benchmarks and enhance the overall excellence of AmeriSave, while also growing and advancing their careers.
At AmeriSave, we're one team with one shared dream - to be the best. Let's redefine excellence together!
What We're Looking For:
We are seeking a highly skilled Senior Data Engineer to join the Enterprise Intelligence department at AmeriSave Mortgage. This role will be responsible for designing, developing, and maintaining a best-in-class enterprise data warehouse to support advanced analytics, data science, and Artificial Intelligence activities throughout the company. The Senior Data Engineer will report directly to the Senior Vice President of Enterprise Intelligence.
Observability & Monitoring
  • Own the control tower for database health across the Azure SQL estate - standing up and maintaining monitoring through database watcher, Azure Monitor metrics and alerts, Query Store, DMVs, and Log Analytics / KQL.
  • Establish wait-statistics, file-I/O, and resource (DTU/vCore) baselines per workload, defining what "normal" looks like per workload and per time-of-day.
  • Define and continuously tune Azure Monitor alert rules and action groups (blocking, deadlocks, long-running queries, resource saturation) against those baselines so alarms stay trusted and acted upon - alerting on statistical deviation rather than arbitrary thresholds.

What You'll Do:
  • Design, develop, and maintain robust enterprise data warehouse solutions that support data science, artificial intelligence, and business intelligence requirements.
  • Architect scalable ETL/ELT pipelines to efficiently transform raw data into structured, analytics-ready formats.
  • Build and manage API integrations, including hands-on API development.
  • Utilize T-SQL and Azure Data Factory to create, optimize, and manage data integration workflows.
  • Use Microsoft Fabric notebooks for transformation and orchestration where appropriate, leveraging Lakehouse and Warehouse for supplemental storage.
  • Ensure high data quality, integrity, and performance through meticulous query tuning and process optimization.
  • Collaborate with data scientists, software developers, business intelligence teams, and stakeholders to develop and deploy data solutions that meet business needs.
  • Translate business requirements into technical solutions and coordinate smoothly between engineering and other teams.
  • Lead the creation of scalable, reliable data models and optimize them for performance and usability.
  • Drive continuous improvement in data engineering processes and practices to keep them efficient and aligned with industry best practices.
  • Monitor system performance and proactively implement improvements to maximize efficiency and scalability.
  • Troubleshoot and resolve data-related issues to ensure reliable data delivery.

What You'll Need:
  • This role is ideal for someone who thrives in a dynamic, fast-paced environment, enjoys solving complex data problems, and is passionate about driving innovation in data engineering.
  • 5+ years of hands-on experience in data warehousing, data engineering, or a similar role.
  • Extensive experience with T-SQL, including advanced query development and performance tuning.
  • 5+ years as a SQL Server / Azure SQL DBA - performance tuning, index and statistics management, execution-plan analysis, and proactive capacity planning.
  • Proficiency with pipeline development and configuration using Azure Data Factory (ADF).
  • Working familiarity with Microsoft Fabric (notebooks and pipelines for transformation, Lakehouse, and Warehouse)
  • Expertise in Python for data engineering tasks, including data manipulation and workflow management.
  • Strong understanding of data modeling, data architecture, and best practices in data governance.
  • Experience handling sensitive/PII data and supporting data quality and governance in a regulated, financial-services environment.
  • Experience preparing clean, analytics- and ML-ready datasets to support data science and AI workloads.
  • Excellent problem-solving skills and the ability to work independently as well as collaboratively.
  • Strong communication skills to effectively liaise with both technical teams and non-technical stakeholders.

**Please note that the compensation information that follows is a good faith estimate for this position only and is provided pursuant to the Colorado Equal Pay for Equal Work Act and Equal Pay Transparency Rules. It is estimated based on what a successful Colorado applicant might be paid. It assumes that the successful candidate will be in Colorado or perform the position from Colorado. Similar positions located outside of Colorado will not necessarily receive the same compensation. **
Compensation:
Annual compensation for this position generally ranges from $100,000 - $170,000.
Benefits:
• 401(k)
• Dental insurance
• Disability insurance
• Employee discounts
• Health insurance
• Life insurance
• Paid time off
• 12 paid holidays per year
• Paid training
• Referral program
• Vision insurance
Supplemental pay types:
• Bonus
• Referral bonuses
AmeriSave is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
California Consumer Privacy Act Disclosure Acknowledgment
Employment Applicants, New Hires, and Employees Residing in California
AmeriSave Mortgage Corporation's Privacy Policy Statement ("Policy") can be reviewed here: www.amerisave.com/privacy-policy
AmeriSave Mortgage Corporation's California Consumer Privacy Act ("CCPA") Recruitment Disclosure can be reviewed here: https://www.amerisave.com/ccpa-recruitment-disclosure/
When AmeriSave's Human Resources Department makes future requests for personal information, the same Policy is applicable. By applying, you understand this acknowledgment covers current and future personal information requests. You also acknowledge the business purpose of the personal information collected and that future requests may occur while applying for a position at AmeriSave and/or during employment, if applicable.

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