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Remote Microsoft Azure Data Engineer Jobs in Oregon

A Field Engineer will partner with a Technical Account Manager to create a guided customer journey ... data services including Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP)

US - Remote Level : Senior Individual Contributor Team : Engineering The Opportunity Terzo ... This includes cloud infrastructure on Azure, data pipeline orchestration (Ray, Service Bus, CDC ...

Senior Data Engineer AI

$140K - $165K/yr

... Azure, Hadoop, Spark, Snowflake etc.). * Experienced in implementing data pipelines with data ... Expertise in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook. * Flexible ...

Principal Software Engineer

$134K - $180K/yr

With intelligent agreement management, Docusign unleashes business-critical data that is trapped ... Microsoft Azure (specifically utilizing Azure Kubernetes Service / AKS and Azure traffic routing)

AI Engineer

$150K - $175K/yr

For remote positions, all candidates must complete a video screen with our corporate recruiting ... Power BI, SSRS, SSIS, SSAS, Azure data and AI services WHAT WE HAVE TO OFFER: Because we know how ...

Senior Security Engineer II

$114K - $156K/yr

... Azure environments. Secondary responsibilities include leading projects and implementing ... Data Governance & Compliance Tools: Design, deploy, and maintain Microsoft Purview features ...

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

We're a remote-first, work-anywhere, and "yes - you should make time for that adventure/vacation ... We are looking for a Senior Data Engineer to take ownership of this massive daily ingestion engine.

Senior Data Engineer

$105K - $150K/yr

Job Summary As a Senior Data Engineer at WellBe you will play a pivotal role in collecting ... Work Environment Remote Travel may be required up to 15% locally or nationally Pay Transparency ...

Senior Forward Deployed Engineer (FDE)

OR · On-site +1

$104K - $143K/yr

Remote (U.S.) Other Considerations: U.S. Citizen or Permanent Resident Required with the ability to ... Experience working with cloud platforms such as AWS, Microsoft Azure, Google Cloud Platform, or ...

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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 92% Full Time, 3% Part Time, 4% Contract, and 1% Nights. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution.
Principal Data Engineer

Other

Posted 4 days ago


Job description

We are seeking a Principal Data Engineer to drive scalable, business-focused data solutions that power insight-driven decision-making across the enterprise. This role is ideal for someone who combines deep technical expertise in modern data platforms with the ability to translate complex data concepts into clear, actionable insights for non-technical stakeholders.

You will partner closely with Sales, Marketing, Customer Success, and Product teams to design, build, and optimize data models and pipelines that support reporting, analytics, and self-service data access.

In this role, you will:

  • Lead data initiatives across business functions (Sales, Marketing, Revenue Operations, Customer Success & Support) by delivering clear, actionable insights and strong data storytelling.
  • Design, build, and maintain scalable data pipelines and transformations using Snowflake and dbt.
  • Develop and manage dimensional data models and curated data marts to support analytics and reporting.
  • Write efficient, scalable SQL to transform and analyze large datasets.
  • Partner with business stakeholders to translate requirements into data models and solutions that drive decision-making.
  • Explain enterprise data lake and data warehouse concepts clearly to non-technical audiences.
  • Ensure high standards for data quality, governance, and reliability.
  • Support and enable self-service analytics through well-structured, documented data assets.
  • Mentor team members and promote best practices in data engineering and modeling.

You have what it takes if you have:

  • 10+ years of experience in data engineering, analytics, or BI in an enterprise environment.
  • Strong expertise in Snowflake, including building data pipelines and optimized data structures.
  • Hands-on experience with dbt for data transformation and modeling.
  • Deep understanding of data warehousing principles, including dimensional modeling (star/snowflake schemas).
  • Advanced SQL skills for large-scale data transformation and analysis.
  • Experience working with data lakes and modern data platforms.
  • Familiarity with Python for data tasks (scripting, automation, light data processing)-no data science experience required.
  • Excellent communication skills, with the ability to explain technical concepts to business stakeholders.
  • Proven ability to partner cross-functionally and deliver business-impacting data solutions.

An extra dose of awesome if...

  • Experience working in AWS or multi-cloud environments.
  • Familiarity with orchestration and ETL tools (e.g., Airflow, Informatica, Matillion).
  • Experience supporting Tableau or similar BI tools.
  • Background supporting CRM / GTM systems (e.g., Salesforce, Marketo, Gainsight).

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