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Temporary Azure Data Factory Jobs in Oregon (NOW HIRING)

Kynite

Azure Platform Lead/ Architect

OR

$59.50 - $77.50/hr

Good working knowledge on Azure Data Factory, Azure Storage accounts, Key Vaults etc. Good hands-on experience on Azure Cloud to understand the IAM, VM build process, storage account and other ...

Kynite

Azure Platform Lead/ Architect

OR · On-site +1

$59.50 - $77.50/hr

... Data Factory, Azure Storage accounts, Key Vaults etc. • Good hands-on experience on Azure Cloud to understand the IAM, VM build process, storage account and other services. • Flexible to work on ...

Prescryptive

OR · On-site

$114K - $137K/yr

Build scalable and maintainable ETL/ELT pipelines using tools and frameworks such as Azure Data Factory (ADF), Airflow / Dagster, and dbt, with SQL and Python. * Design and implement robust data ...

AmeriSave Mortgage Corp.

$100K - $136K/yr

Utilize T-SQL and Azure Data Factory to create, optimize, and manage data integration workflows. * Use Microsoft Fabric notebooks for transformation and orchestration where appropriate, leveraging ...

Pwc

Data Engineer - Manager

Portland, OR

... 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 ...

phData

OR · On-site

$63 - $83/hr

Strong cloud experience across AWS, Azure, and the Snowflake ecosystem, including services such as S3, ADLS, Kinesis, Azure Data Factory, dbt, and Kafka. * Proven ability to build and operate ...

360training

Data Architect Manager

Experience with tools such as Azure Data Lake, Azure Data Factory, Microsoft Fabric, Databricks, Synapse, Power BI, Purview, dbt, Snowflake, SQL, Python, Delta Lake, or similar technologies.

Pwc

Data Engineer - Senior Associate

Portland, OR · On-site

$77K - $202K/yr

... Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow - Enhancing Cloud resources for cost, performance, and scalability Travel Requirements Up to 60% Job Posting End Date The ...

Thermo Fisher Scientific

OR

$135K - $203K/yr

Prior experience building data pipelines using SSIS, Azure Data Factory or similar * Strong experience with data lake architectures (e.g., AWS S3, Azure Data Lake, Google Cloud Storage) * Proven ...

Tiger Analytics Inc.

OR · On-site

$63 - $83/hr

Extensive hands-on experience with Microsoft Fabric, Power BI, Azure Synapse Analytics, and Azure Data Factory. * Strong understanding of Data Lakehouse architecture and Delta Lake. * Proficiency in ...

Tiger Analytics Inc.

OR · On-site

$63 - $83/hr

Extensive hands-on experience with Microsoft Fabric, Power BI, Azure Synapse Analytics, and Azure Data Factory. * Strong understanding of Data Lakehouse architecture and Delta Lake. * Proficiency in ...

Fisher Investments

Azure Cloud Engineer

Gresham, OR

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 ...

Moda Health

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 ...

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Temporary Azure Data Factory information

What are the key skills and qualifications needed to thrive as a temporary Azure Data Factory specialist, and why are they important?

To thrive as a Temporary Azure Data Factory specialist, you need expertise in data integration, ETL processes, and proficiency with cloud-based data platforms, typically supported by experience in SQL and a background in computer science or related fields. Familiarity with Azure Data Factory, Azure SQL Database, Data Lake, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly beneficial. Strong problem-solving, analytical thinking, and communication skills help you design efficient data pipelines and collaborate with diverse teams. These qualifications ensure reliable, scalable data solutions that meet organizational needs within tight project timelines.

What is the difference between Temporary Azure Data Factory vs Data Engineer?

AspectTemporary Azure Data FactoryData Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, SQL, cloud platform knowledge
Work EnvironmentCloud-based, project-specific, short-termLong-term, team-based, often on-premises or cloud
Employer & IndustryTech companies, consulting firms, project-based rolesLarge enterprises, finance, healthcare, ongoing data infrastructure

Temporary Azure Data Factory roles focus on short-term data integration projects using cloud tools, requiring specific Azure certifications. Data Engineers have broader responsibilities, building and maintaining data pipelines long-term, with more extensive technical skills. Both roles are vital in data management but differ mainly in scope and duration.

What are the typical challenges faced by professionals in a temporary Azure Data Factory role, and how can they be addressed?

Professionals in a Temporary Azure Data Factory role often face challenges such as quickly understanding existing data pipelines, integrating with legacy systems, and ensuring data security within tight project deadlines. Adapting to varying documentation standards and collaborating efficiently with cross-functional teams are also common hurdles. Success in this role often comes from leveraging strong communication skills, proactively seeking clarification from stakeholders, and maintaining a structured approach to troubleshooting and documentation. Familiarity with Azure's best practices and automation can help streamline onboarding and project delivery.

What is a temporary Azure Data Factory role?

Temporary Azure Data Factory roles refer to short-term positions where professionals are hired to design, implement, and manage data integration workflows using Microsoft Azure Data Factory. These roles often involve tasks such as building ETL pipelines, migrating data to the cloud, and ensuring the smooth flow of data between sources and destinations. Temporary roles are typically project-based or to cover peak workloads, providing organizations with specialized expertise for a limited duration.
What are the most commonly searched types of Azure Data Factory jobs in Oregon? The most popular types of Azure Data Factory jobs in Oregon are:
What are popular job titles related to Temporary Azure Data Factory jobs in Oregon? For Temporary Azure Data Factory jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Temporary Azure Data Factory jobs in Oregon look for? The top searched job categories for Temporary Azure Data Factory jobs in Oregon are:
Temporary Azure Data Factory jobs near you
Infographic showing various Temporary Azure Data Factory job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Azure/Python/SQL Developer

Avani Technology Solutions, Inc.

Portland, OR • On-site

$52.75 - $72.75/hr

Full-time

Re-posted 7 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.

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