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Remote Microsoft Azure Data Engineer Jobs in Oregon

$100K - $136K/yr

The Senior Data Engineer will report directly to the Senior Vice President of Enterprise ... Azure Data Factory to create, optimize, and manage data integration workflows. * Use Microsoft ...

Azure Platform Lead/ Architect

OR · On-site +1

$59.50 - $77.50/hr

... on Microsoft Azure. • Good hands on and troubleshooting experience with Hadoop file system. • Good working, hands on and troubleshooting experience, on Azure Data bricks with internal and ...

This is a remote position and we are looking to hire in the following states: AZ, FL, GA, NJ, PA ... Hands-on experience building or modernizing cloud data platforms using Azure, Microsoft Fabric ...

The Engineer will develop and maintain dbt Core models and data workflows across the medallion ... using Microsoft Fabric and Azure Data Factory. Who We Are The Information Technology (IT) ...

Data Architect

OR · Remote

$153K - $170K/yr

Remote What You'll Do: * Define and implement the data architecture strategy for our SaaS platform ... Partner with other architects and engineers to design and deliver AI solutions using the most ...

Data Engineer - AI

$101K - $132K/yr

Proficient in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook. * Flexible ... REMOTE #LI-LL1 #SENIOR Employment Type: OTHER

Senior Data Engineer

$105K - $150K/yr

Experience building pipelines in Azure Data Factory required. Experience building API data ... Work Environment Remote Travel may be required up to 15% locally or nationally Pay Transparency ...

Data Engineer

$90K - $135K/yr

Job Summary As a Data Engineer at Wellbe you will play a pivotal role in collecting, processing ... Experience building pipelines in Azure Data Factory required. Snowflake data processing with Tasks ...

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

Exposure to DevOps practices using tools such as Azure DevOps (CI/CD, work item tracking, GIT ... A reliable, high-speed, hard-wired internet connection required to support remote or hybrid work.

Data Engineer

OR · Remote

$114K - $137K/yr

About the Role As a Data Engineer focused on AI/ML , you'll build, maintain, and optimize the data ... Remote

IT Implementation Engineer Remote Company Overview: AMSURG is an independent leader in ambulatory ... Architect, build and secure Microsoft 365 and Azure strategy to include Azure Virtual Network(s ...

IT Implementation Engineer Remote Company Overview: AMSURG is an independent leader in ambulatory ... Architect, build and secure Microsoft 365 and Azure strategy to include Azure Virtual Network(s ...

Lead Engineer (Azure)

Portland, OR · On-site +1

$98K - $132K/yr

As a Microsoft Security Engineer, you'll work with cutting-edge Microsoft tools, support high ... Data Protection : Purview, DLP, Sensitivity Labels, DSPM * Cloud Security : Azure Defender for ...

Data Engineer

OR · Remote

$120K - $150K/yr

This is a fully remote role based in the United States. What you'll be doing The primary ... our next Data Engineer to have the following skills and experiences Core qualifications and ...

Senior Data Engineer

$117K - $146K/yr

... Core) and Azure DevOps * Builds APIs and file upload mechanisms for client data ingestion ... All full-time positions are hybrid, with many eligible to be completely remote * Fully Paid by ...

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

Data Engineering at Netflix is a role that requires building systems to process data efficiently ... remote in the US with occasional visits to Los Gatos) depending on the team your skills are most ...

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Remote Microsoft Azure Data Engineer information

What is the difference between Remote Microsoft Azure Data Engineer vs Remote Data Analyst?

AspectRemote Microsoft Azure Data EngineerRemote Data Analyst
Required CredentialsAzure certifications, SQL, Python, data engineering skillsSQL, Excel, data visualization tools, sometimes certifications
Work EnvironmentCloud platforms, data pipelines, backend systemsData reporting, visualization, business insights
Employer & Industry UsageTech, finance, healthcare, any industry using cloud data solutionsMarketing, finance, retail, any industry analyzing data for insights

The Remote Microsoft Azure Data Engineer focuses on building and maintaining data pipelines using Azure cloud services, requiring technical skills in cloud platforms and data engineering. In contrast, a Remote Data Analyst primarily interprets data, creates reports, and provides business insights, often using visualization tools. While both roles work with data, their focus, tools, and responsibilities differ significantly.

What are the most commonly searched types of Microsoft Azure Data Engineer jobs in Oregon? The most popular types of Microsoft Azure Data Engineer jobs in Oregon are:
What are popular job titles related to Remote Microsoft Azure Data Engineer jobs in Oregon? For Remote Microsoft Azure Data Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Microsoft Azure Data Engineer jobs in Oregon look for? The top searched job categories for Remote Microsoft Azure Data Engineer jobs in Oregon are:
What cities in Oregon are hiring for Remote Microsoft Azure Data Engineer jobs? Cities in Oregon with the most Remote Microsoft Azure Data Engineer job openings:
Infographic showing various Remote Microsoft Azure Data Engineer job openings in Oregon as of July 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution.

$100K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 hours 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.