2

Remote Azure Data Engineer Jobs in Oregon (NOW HIRING)

Data Engineer (FedD024)

OR · On-site +1

$114K - $137K/yr

Implementing systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems, including backup and recovery strategies * Architecting, deploying, and ...

Databricks Certified Data Engineer Professional certification. * Experience with Azure cloud services and enterprise security. * Experience with Data Vault 2.0. * Knowledge of AI, machine learning ...

Azure Databricks Admin

OR · On-site +1

$51.50 - $64/hr

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff ... engineer permanent solutions, and coordinate implementation. • Provide work guidance to less ...

Data Engineer (L5) - Ads

OR · On-site +1

$380K - $610K/yr

About the team Ads Data Engineering team sits at the core of building a data ecosystem that will power Netflix' understanding and decision making about what impact ads have on our business. This team ...

Senior Software Engineer, Identity Platform

OR · On-site +1

$122K - $161K/yr

US Remote Job Summary As a Senior Software Engineer at Prove, you will play a critical role in ... Hands-on experience with public cloud platforms (AWS, GCP, or Azure). * Data & Database Expertise:

Senior Data Engineer II, Finance

OR · On-site +1

$105K - $143K/yr

Engineering at Instacart provides the opportunity to work on challenging scaling problems while ... Experience with SOX controlled data systems. #LI-Remote

Staff Data Eng, Data Systems, TCGplayer

OR · On-site +1

$136K - $228K/yr

The Data Engineering team helps make that experience possible by building the systems, standards ... Remote roles are not eligible for U.S. visa sponsorship. eBay is an equal opportunity employer. All ...

... SQL/DevOps, and Azure Data Factory. * Production support experience in large enterprise ... We are a remote-first company, and you should be comfortable working with a distributed global team.

$63.75 - $82/hr

... engineering fundamentals, systems thinking, and ownership across scalable modern data ecosystems. Engagement details * Contractor / project-based engagement * Paid in USD/hour * Remote-first

Senior Database Administrator

Portland, OR · On-site +1

$62.73 - $77.16/hr

Knowledge, Skills, and Abilities (KSAs): • Advanced knowledge of or skill in Azure Cloud (Azure SQL Managed Instance, Azure SQL Database, Azure Data Lake, Azure Data Factory, Azure DevOps, Azure ...

Data Scientist

OR · On-site +1

Azure AI Fundamentals, or Certified Data Scientist (CDS). Additional Information Work Environment ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Showing results 21-40

Remote Azure Data Engineer information

See Oregon salary details

$47K

$137.1K

$187.7K

How much do remote azure data engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote azure 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 remote Azure Data Engineer?

A Remote Azure Data Engineer is responsible for designing, implementing, and managing data solutions using Microsoft Azure cloud services while working from a remote location. They work with tools like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics to process, store, and analyze data. Their role includes data pipeline development, performance optimization, and ensuring data security. Collaboration with data scientists, analysts, and business teams is common to support data-driven decision-making.

What are the key skills and qualifications needed to thrive as a remote Azure Data Engineer?

To thrive as a Remote Azure Data Engineer, you need expertise in designing, implementing, and managing data solutions using Microsoft Azure, along with proficiency in SQL, data warehousing, and ETL processes. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, effective communication, and the ability to work autonomously make candidates stand out in this remote role. These skills ensure that data pipelines are robust, secure, and scalable, enabling organizations to make data-driven decisions efficiently.

What are some common challenges a remote Azure Data Engineer might face, and how are they typically addressed?

A common challenge for Remote Azure Data Engineers is ensuring secure, reliable data transfer and integration across distributed systems while collaborating with teams that may be in different time zones. This is typically addressed by implementing best practices for cloud security, employing automated monitoring, and leveraging project management tools to stay aligned with cross-functional teams. Clear, proactive communication is essential in a remote environment, as is documentation to keep everyone updated on project progress. Many organizations also offer regular virtual check-ins and access to knowledge-sharing platforms to foster collaboration. By staying organized and proactive, remote Azure Data Engineers can successfully deliver scalable data solutions in a distributed work setup.

What are the most commonly searched types of Azure Data Engineer jobs in Oregon?

The most popular types of Azure Data Engineer jobs in Oregon are:

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

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

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

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

What cities in Oregon are hiring for Remote Azure Data Engineer jobs?

Cities in Oregon with the most Remote Azure Data Engineer job openings:

Data Engineer (FedD024)

OR • On-site, Remote

Defense Unicorns
Software Development • 11 - 50 employees

$114K - $137K/yr

Full-time

Re-posted 19 days ago


Job description

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION WILL REQUIRE U.S. CITIZENSHIP.Responsibilities:
  • Designing data workflows, pipelines, and pathways to support ETL/ELT, while ensuring data-quality and exchange of sensitive information across AWS cloud and on-prem environments. 
  • Implementing systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems, including backup and recovery strategies
  • Architecting, deploying, and operating data streaming technologies (Kafka, Redpanda, Kinesis, etc ) on Kubernetes with an emphasis on declarative definitions to reduce complexity in day-2 operations
  • Working with a platform team to implement best practices for configuration management, security, and performance optimization within Kubernetes and AWS environments
  • Working with a platform team to automate infrastructure provisioning, monitoring, and scaling using tools such as Terraform working with cybersecurity SMEs to incorporate best practices and techniques to defend our data layer against potential threats
  • Ensuring that our data layer systems are compliant with industry and DoD regulations, standards, and best-practices
  • Staying up-to-date with industry trends and emerging technologies related to Kubernetes, containerization, and data engineering

Travel Expectations/Requirements: 6-10 times per year

The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise. 
*
Preferred Experience and Qualifications:

  • Demonstrated experience (minimum 5 years) in building and maintaining production data pipelines, databases, and data exchange services on Kubernetes Experience in designing, deploying, and operating Kafka / Redpanda data streaming solutions on Kubernetes
  • Experience in creating data pipelines from scratch with the ability to process data in large volumes and manage data stores
  • Experience with containerization technologies such as Docker and container orchestration systems like Kubernetes
  • Knowledge of systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems Familiarity with API Security, Container Security, AWS Cloud Security Familiarity with cybersecurity principles and best practices for securing data layer systems
  • Excellent problem-solving skills, with the ability to work independently and as part of a team
  • Excellent communication skills, with the ability to convey complex ideas to both technical and non-technical team members
  •  The selected candidate will be subject to a pre-employment background check ("CBI") and must be able to obtain and maintain a Secret-level DoD security clearance 
  • Experience with machine learning and generative AI models