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Entry Level Azure Data Factory Jobs in Portland, OR

... Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow - Enhancing Cloud ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... Azure Data Factory to enhance data engineering capabilities - Applying data architecture ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... and data loss prevention (DLP) policies. * Ensure naming conventions, version control, and release pipelines using Azure DevOps or Git. * Define and enforcesecurity, authentication, and ...

Experience with Azure database services (Azure SQL Database, Azure Database for MySQL/PostgreSQL ... Experience in Web Services, micro-Services development, Data Architecture or Container technologies ...

Perform data entry and visual quality control * Collaborate with team to resolve quality and ... Entry level compensation is between $22.50 and $25.00 perhour, depending on experience.

Wafer Fab Operator

Beaverton, OR · On-site

$22.50 - $25/hr

Perform data entry and visual quality control * Collaborate with team to resolve quality and ... Entry level compensation is between $22.50 and $25.00 per hour, depending on experience.

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Entry Level Azure Data Factory information

See Portland, OR salary details

$11

$61

$84

How much do entry level azure data factory jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for entry level 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.
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Azure/Python/SQL Developer

Avani Technology Solutions, Inc.

Portland, OR • On-site

$52.75 - $72.75/hr

Full-time

Re-posted 17 hours 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.