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

... Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services - Designing and managing data warehouses and data lakes, verifying data is organized and accessible ...

Experience with Azure IaaS (Virtual Machines, Storage, Networking) and PaaS (App Services, Azure SQL, Azure Functions, Azure Data Factory) * Knowledge of identity management, security controls ...

Experience with Azure IaaS (Virtual Machines, Storage, Networking) and PaaS (App Services, Azure SQL, Azure Functions, Azure Data Factory) * Knowledge of identity management, security controls ...

Experience with Azure IaaS (Virtual Machines, Storage, Networking) and PaaS (App Services, Azure SQL, Azure Functions, Azure Data Factory) * Knowledge of identity management, security controls ...

Experience with Azure IaaS (Virtual Machines, Storage, Networking) and PaaS (App Services, Azure SQL, Azure Functions, Azure Data Factory) * Knowledge of identity management, security controls ...

Experience with Azure IaaS (Virtual Machines, Storage, Networking) and PaaS (App Services, Azure SQL, Azure Functions, Azure Data Factory) * Knowledge of identity management, security controls ...

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

... Azure Data Factory, and/or Airflow. Exposure to modern cloud-based transformation tools such as dbt or similar is preferred. * Experience supporting on-premises data warehouse environments and ...

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 ...

Sr. Data Operations Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... Azure services such as Databricks, Data Factory, Data Lake, SQL Server, and Power BI. This role requires close coordination with business stakeholders, data engineers, ML engineers, and BI engineers ...

Sr. Data Operations Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... Azure services such as Databricks, Data Factory, Data Lake, SQL Server, and Power BI. This role requires close coordination with business stakeholders, data engineers, ML engineers, and BI engineers ...

Sr. Data Operations Engineer

Beaverton, OR · On-site

$119K - $143K/yr

... Azure services such as Databricks, Data Factory, Data Lake, SQL Server, and Power BI. This role requires close coordination with business stakeholders, data engineers, ML engineers, and BI engineers ...

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Azure Data Factory information

See Portland, OR salary details

$11

$61

$84

How much do azure data factory jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for azure data factory in Portland, OR is $61.94, according to ZipRecruiter salary data. Most workers in this role earn between $56.11 and $69.62 per hour, depending on experience, location, and employer.

What is an Azure Data Factory?

An Azure Data Factory job refers to a data processing task executed within Azure Data Factory (ADF), a cloud-based data integration service. ADF enables the creation, scheduling, and orchestration of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. These jobs help in moving and transforming data between various data stores, such as Azure Blob Storage, SQL databases, and on-premises systems. By using pipelines, activities, and triggers, ADF automates data workflows efficiently.

What are some typical challenges faced by professionals working with Azure Data Factory, and how can they be addressed?

One of the main challenges in an Azure Data Factory role is managing complex data pipelines that span multiple data sources and destinations, which requires careful orchestration and monitoring. Troubleshooting data integration issues and ensuring data accuracy can also be demanding, especially when dealing with large volumes of data or evolving business requirements. Successful professionals often address these challenges by staying updated with Azure’s latest features, implementing robust error-handling, and collaborating closely with data architects and business analysts. Joining a supportive team environment and accessing ongoing training can further assist in overcoming common hurdles and advancing in your career.

What are the key skills and qualifications needed to thrive in the Azure Data Factory position, and why are they important?

To thrive in an Azure Data Factory role, you need expertise in data integration, ETL processes, and cloud data solutions, typically supported by a background in computer science or information technology. Familiarity with Microsoft Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals excel in cross-functional teams. These skills are essential for designing, deploying, and maintaining efficient data workflows that support business analytics and decision-making.

Is Azure Data Factory being phased out?

Azure Data Factory remains a core cloud data integration service within Microsoft Azure and is actively supported and developed. There are no indications that it will be phased out in the near future, and it continues to be widely used by data engineers and analysts for building data pipelines and workflows. Staying updated with Azure's product roadmap and certifications can help ensure skills remain relevant.

Is Azure Data Factory in demand?

Azure Data Factory is a widely used cloud-based data integration service, and professionals skilled in it are in high demand due to the increasing adoption of cloud data solutions. Knowledge of data pipelines, ETL processes, and related tools like Azure Synapse Analytics can enhance job prospects in data engineering and analytics roles.

What can you do with Azure Data Factory?

Azure Data Factory is a cloud-based data integration service that allows data engineers and analysts to create, schedule, and manage data pipelines for moving and transforming data across various sources and destinations. It supports data ingestion, data transformation using mapping and data flow activities, and orchestration of complex workflows, often integrating with other Azure services. Proficiency in data pipeline design, ETL processes, and familiarity with Azure environments are essential for roles involving Azure Data Factory.

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

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

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

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

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

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

Infographic showing various Azure Data Factory 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 $128,826 per year, or $61.9 per hour.

Azure/Python/SQL Developer

Avani Technology Solutions, Inc.

Portland, OR • On-site

$52.75 - $72.75/hr

Full-time

Re-posted 26 days ago


Job description

Job Description:
  • Hands-on experience architecting, developing and testing data integration/ migration solutions.
  • Ability to analyze and trouble shoot issues in Azure environment
  • 2+ years' experience with Python with Spark configuration. Azure data bricks is a plus.
  • Created pipelines, datasets, linked services in Azure Data factory.
  • Knowledge on Integration run times.
  • Read and write data blobs in Azure Data Lake and transformation into Azure SQL Data Warehouse,
  • Experience with Power BI and Azure Analysis Services
  • Experience working with REST APIs
  • Familiarity with any DevOps tools. Ex: Ansible, Puppet or Chef
  • Expert in SQL and query optimization for data platforms such as Azure SQL Data Warehouse, HDInsight
  • Experience working in GIT. Pull request creation, Branching and Cherry picking codes.
  • Expert in database concepts, including normalization, indexing, physical and logical modeling, creation of SQL queries and performance tuning.
  • Solid understanding of data flows, data models for batch and near real time flows.
  • Good oral and written communication skills as the role demands coordination with different stakeholders both in-house and external.