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

Concora Credit Inc.

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes beyond ...

Concora Credit Inc.

Data Engineer

Beaverton, OR

$119K - $143K/yr

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes beyond ...

Concora Credit Inc.

Data Engineer

Beaverton, OR

$119K - $143K/yr

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes beyond ...

Concora Credit Inc.

Data Engineer

Beaverton, OR

$119K - $143K/yr

We are seeking a Data Engineer with deep expertise in Azure, Databricks, Python, SQL, and distributed data systems to help drive the evolution of our enterprise data platform. This role goes beyond ...

Pwc

Data Engineer - Manager

Portland, OR · On-site

... Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks ... with big data technologies like Hadoop, Spark, or Kafka is a plus - Experience with machine ...

Hp

Big Data Laser Analyst

Vancouver, WA · On-site

Big Data Laser Analyst Description - Job Summary We are seeking a highly analytical, business ... You will partner closely with data engineers and data scientists to improve data reliability ...

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Azure Big Data Engineer information

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How much do azure big data engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for azure big data engineer in Portland, OR is $66.79, according to ZipRecruiter salary data. Most workers in this role earn between $56.83 and $75.19 per hour, depending on experience, location, and employer.

What does an Azure Big data engineer do?

An Azure Big Data Engineer is responsible for designing, building, and managing big data solutions using Microsoft Azure cloud technologies. They focus on processing large volumes of data, creating data pipelines, and ensuring data is stored and analyzed efficiently. Their work often involves tools such as Azure Data Lake, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory. Azure Big Data Engineers collaborate with data scientists, analysts, and other IT professionals to enable data-driven decision-making within organizations.

What are the key skills and qualifications needed to thrive as an Azure Big data engineer?

To thrive as an Azure Big Data Engineer, you need expertise in data engineering, cloud computing, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with Azure Data Services (like Azure Data Lake, Azure Synapse Analytics, and Azure Databricks), as well as certifications like Microsoft Certified: Azure Data Engineer Associate, is highly valuable. Strong analytical thinking, problem-solving, and communication skills help you collaborate effectively with cross-functional teams and translate business needs into technical solutions. These skills and qualities are essential for building scalable, reliable data pipelines that drive business insights and innovation in cloud environments.

What are some common challenges Azure big data engineers face when integrating multiple data sources?

Azure Big Data Engineers often encounter challenges such as ensuring data consistency and quality when integrating disparate data sources like on-premises databases, cloud storage, and third-party APIs. Handling varying data formats and latency issues can also complicate data pipelines. To overcome these challenges, engineers typically use Azure Data Factory for orchestration, implement robust data validation, and collaborate closely with data architects and business analysts to align on integration requirements.

How much do Azure Big Data Engineers make?

Azure Big Data Engineers typically earn between $90,000 and $150,000 annually, depending on experience, location, and certifications such as Azure Data Engineer Associate. Salaries tend to be higher in regions with a strong tech industry and for professionals with advanced skills in cloud services and data processing tools.

Is Azure Big Data Engineer in demand?

Azure Big Data Engineers are in high demand due to the increasing adoption of cloud-based data solutions and the need for expertise in tools like Azure Data Lake, Synapse Analytics, and Spark. Organizations seek professionals skilled in data pipeline development, cloud architecture, and big data processing to support analytics and AI initiatives.

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

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

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

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

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

Azure Big Data Engineer jobs near you

Big Data Engineer

Avani Technology Solutions, Inc.

Portland, OR • On-site

$58.75 - $77.50/hr

Full-time

Re-posted yesterday

Job description

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

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