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Azure Data Engineer Jobs in Portland, OR (NOW HIRING)

Big Data Engineer

Happy Valley, OR · On-site

$58.75 - $77.50/hr

Programming/Scripting : Java / Jetty, Python, Scala, PowerShell, C#, Bash * Build Tools ... Experience deploying systems with Kubernets, Docker, or Azure Containers * Automation experience ...

Data Engineer, Staff

Newberg, OR · On-site

$120 - $180/hr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and ... Experience with Azure environment. * Experience developing cloud data warehouses (e.g. Snowflake or ...

Sr. Data Operations Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Manage and monitor ETL/ELT pipelines, analytics reporting jobs, ML workflows across Azure services ... Partner with data engineers, ML engineers, and BI engineers to troubleshoot issues, implement ...

Sr. Data Operations Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Manage and monitor ETL/ELT pipelines, analytics reporting jobs, ML workflows across Azure services ... Partner with data engineers, ML engineers, and BI engineers to troubleshoot issues, implement ...

Data Engineer

Beaverton, OR · On-site

$140 - $150/hr

Position Overview The Data Management & Engineering (DME) team at David Yurman (DY) is responsible for designing and implementing state‑of‑the‑art data and analytics solutions. We are looking ...

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within ... Azure SQL. * Experience integrating and transforming data from multiple sources, including on ...

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within ... Azure SQL. * Experience integrating and transforming data from multiple sources, including on ...

Sr. Data Engineer

Beaverton, OR · On-site

$100 - $130/hr

The Sr. Data Engineer position is going to help the Digital Dash team pull data from various sources, store it in a database where we can access it, write/schedule jobs to get the data to flow in a ...

Data Engineer 5

Beaverton, OR · On-site

$70 - $78/hr

Data Engineer Location: Beaverton, OR - Hybrid (4 days onsite / 1 day remote per week) Duration: Contract role - 9+ months Pay Rate Range: $70 - $78 per hour (DOE) Responsibilities: * Build and ...

Cloud platforms (Azure, AWS) * Enterprise databases * REST and GraphQL APIs * SaaS and third-party ... Data Engineering & Transformation * Develop complex SQL queries, stored procedures, views, and data ...

.Net with Azure

Beaverton, OR · On-site

$57.25 - $71/hr

Strong developer with knowledge of .Net concepts, OOPS concepts, Design Driven Development * Strong ... Pattern (Circuit Breaker, Data Repository, Class Factory) * Azure Coding & Setup (Service Bus ...

Showing results 41-60

Azure Data Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.3K

How much do azure data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for azure data engineer in Portland, OR is $137,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

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

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

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

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data infrastructure across industries.

What are the most commonly searched types of Azure Data Engineer jobs in Portland, OR?

The most popular types of Azure Data Engineer jobs in Portland, OR are:

What are popular job titles related to Azure Data Engineer jobs in Portland, OR?

For Azure Data Engineer jobs in Portland, OR, the most frequently searched job titles are:

What job categories do people searching Azure Data Engineer jobs in Portland, OR look for?

The top searched job categories for Azure Data Engineer jobs in Portland, OR are:

What cities near Portland, OR are hiring for Azure Data Engineer jobs?

Cities near Portland, OR with the most Azure Data Engineer job openings:

Infographic showing various Azure Data Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

Big Data Engineer

3B Staffing LLC

Happy Valley, OR • On-site

$58.75 - $77.50/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

  • Runtime Infrastructure : Docker, Kubernetes, Lambdas
  • Storage Systems : DynamoDB, MongoDB, Redis, Hadoop, Memcached
  • Messaging : Kafka, Rsyslog, Logstash, Splunk
  • Programming/Scripting : Java / Jetty, Python, Scala, PowerShell, C#, Bash
  • Build Tools/Repositories : Jenkins, Artifactory
  • Web Services Framework: Django, Flask
  • API Framework: Gunicorn 5+ years of relevant experience focused on Support Engineering, TechOps, DevOps, systems administration, application development, build, release and deployment
  • Experience deploying systems with Kubernets, Docker, or Azure Containers
  • Automation experience with ScienceLogic or Ansible
  • Some experience with monitoring and anomaly detection systems
  • Hands-on experience on monitoring tools such as New Relic, Splunk, SignalFx, Solarwinds, etc.
  • Well versed with ITIL concepts (Event, Incident, Knowledge, Change, Problem Management)
  • Familiarity with Chatbots such as Slackbot
  • End user knowledge on ITSM tools such as ServiceNow

Thanks

Arjun

arjun.d@avanitechsolutions.com