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Temporary Azure Data Factory Jobs in Raleigh, NC

Azure Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

NC-806590 Hybrid/Local Govt Azure Data Engineer (15+) with Power BI (must), dataflows/DirectQuery/Import models, JSON/CSV/Parquet, Synapse/Snowflake/ADLS/Data Factory/Databricks, ETL/ELT, tuning ...

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Azure Data Engineer 1-20-

Raleigh, NC · Remote

$117K - $140K/yr

Expertise in designing and implementing ETL processes using tools like Azure Data Factory or Azure Databricks. * Knowledge of data integration and transformation techniques. SQL and T-SQL:

Power BI and Data engineer

Raleigh, NC · On-site

$111K - $133K/yr

Design, develop, and maintain scalable ETL/ELT pipelines using Azure Synapse Analytics, Azure Data Factory, and related Azure services. * Analyze source systems and implement efficient data ...

New

PCA Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory, with a strong focus on data integration. You'll be part of a team that designs, builds, and operates ...

PCA Data Engineer

Raleigh, NC

$111K - $133K/yr

The ideal candidate will have significant experience with Azure, Python, and Azure Data Factory, with a strong focus on data integration. You'll be part of a team that designs, builds, and operates ...

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Experience with Azure Data Platform (Azure Data Factory, Azure Data Lake, and Azure SQL Database) * Experience with cloud platforms (e.g. AWS and Azure) and associated services for data processing ...

Power BI and Data Engineer (Hybrid)

Raleigh, NC · On-site

$101K - $121K/yr

Analyze source systems and design, develop, and maintain scalable ETL/ELT pipelines using Azure Synapse, Azure Data Factory, and related Azure services. * Build and manage data ingestion workflows ...

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Power BI/Data Engineer

Raleigh, NC · Hybrid

$45 - $50/hr

Analyze source systems and design develop and maintain scalable ETL/ELT pipelines using Azure Synapse Azure Data Factory and related Azure services. * Build and manage data ingestion workflows from ...

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Data Engineer - Hybrid - Locals to NC

Raleigh, NC · On-site

$111K - $133K/yr

Analyze source systems and design, develop, and maintain scalable ETL/ELT pipelines using Azure Synapse, Azure Data Factory, and related Azure services. * Build and manage data ingestion workflows ...

New

Data Engineer

Raleigh, NC

$111K - $133K/yr

Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and Python. * Develop SQL queries, stored procedures, views, and database objects to support enterprise ...

Data Engineer

Raleigh, NC

$111K - $133K/yr

Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory, SQL Server, SSIS, and Python. * Develop SQL queries, stored procedures, views, and database objects to support enterprise ...

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Temporary Azure Data Factory information

See Raleigh, NC salary details

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How much do temporary azure data factory jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for temporary azure data factory in Raleigh, NC is $56.77, according to ZipRecruiter salary data. Most workers in this role earn between $51.39 and $63.80 per hour, depending on experience, location, and employer.

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 are Temporary Azure Data Factory roles?

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 Raleigh, NC? The most popular types of Azure Data Factory jobs in Raleigh, NC are:
What are popular job titles related to Temporary Azure Data Factory jobs in Raleigh, NC? For Temporary Azure Data Factory jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Temporary Azure Data Factory jobs in Raleigh, NC look for? The top searched job categories for Temporary Azure Data Factory jobs in Raleigh, NC are:
Infographic showing various Temporary Azure Data Factory job openings in Raleigh, NC as of July 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $118,085 per year, or $56.8 per hour.
IT - Technology Lead | Cloud Integration | Azure Data Factory (ADF)

IT - Technology Lead | Cloud Integration | Azure Data Factory (ADF)

Spruce Infotech

Raleigh, NC • On-site

$53.50 - $66.25/hr

Full-time

Posted 8 days ago


Job description

Job Title: Technology Lead | Cloud Integration | Azure Data Factory (ADF)
Work Location: RaleighNC27601
XXX
Contract duration: 7
Target Start Date: 25 May 2026
Does this position require Visa independent candidates only? YES
Interview - F2F - Mandatory
**hybrid work set-up**
Job Details:
Must Have Skills
ADF
Azure Databricks
Snowflake
Nice to have skills
Delta Lake
Azure Devops
Detailed Job Description
We are looking for an experienced Data Engineer to design, build, and maintain scalable data pipelines and data platforms. The ideal candidate will have strong expertise in Python, PySpark, SQL, and handson experience with Azure Data Factory ADF, Databricks, and Snowflake. You will play a key role in enabling datadriven decisionmaking by delivering highquality and reliable data solutions.
Minimum years of experience
8-10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Develop and orchestrate workflows using Azure Data Factory ADF.
Design, develop, and optimize data models and queries in Snowflake.
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
Interview Process (Is face to face required?)
Yes
Any additional information you would like to share about the project specs/ nature of work