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Temporary Azure Data Factory Jobs in Raleigh, NC

Focused HR Solutions

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:

Coforge

Sr. Data Engineer

Raleigh, NC · Hybrid

$111K - $133K/yr

Azure Data Factory, Databricks, Snowflake, Azure Devops Experience: 10+ years Location: Raleigh, NC (Hybrid) Duration: Fulltime We at Coforge are hiring a Sr. Data Engineer with following skillset

DPR Construction

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 ...

DPR Construction

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 ...

Kanak Elite Services Inc

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 ...

Dlapiper

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

DPR Construction

Data Engineering Lead- Finance

Raleigh, NC · On-site

$111K - $133K/yr

Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems. * Proactively manage data quality, error ...

DPR Construction

Data Engineering Lead- Finance

Raleigh, NC · On-site

$111K - $133K/yr

Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems. * Proactively manage data quality, error ...

GEI Consultants

Data Engineer

Cary, NC

$90K - $150K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL. * Familiarity with Azure AI Search, Cosmos DB, or similar services ...

GEI Consultants

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL. * Familiarity with Azure AI Search, Cosmos DB, or similar services ...

Kimley-Horn

Senior Data Engineer

Raleigh, NC

$103K - $140K/yr

Build and maintain ingestion, transformation, and publishing pipelines using Fabric and related Azure services, including Data Factory pipelines, Lakehouse, Warehouse, notebooks/Spark, and SQL.

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All JobsTemporary Azure Data Factory JobsTemporary Azure Data Factory Jobs in Raleigh, NC

Temporary Azure Data Factory information

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$10

$56

$77

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

As of Jun 12, 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:
Temporary Azure Data Factory jobs near you
Infographic showing various Temporary Azure Data Factory job openings in Raleigh, NC as of June 2026, with employment types broken down into 74% Full Time, 5% Temporary, and 21% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $118,085 per year, or $56.8 per hour.

Senior or Lead Azure Databricks Engineer with Python and Spark - W2 Role

Saransh Inc

Raleigh, NC • On-site

Contractor

Posted 26 days ago

Job description

Role: Senior / Lead Azure Databricks Engineer with Python & Spark
Location: Raleigh, NC (Onsite from Day 1)
Job Type: W2 Contract
 
 
Note: Only Visa Independent candidates are required (No C2C or Third-party candidates)
 
 
Experience Level: Senior (Min 10 plus yrs with Azure Data)
 

Main skill: Data Software Engineering

Skill Spec: DSE Python Azure Databricks

 
Must have skills (Mandatory):
  • Apache Spark
  • Python
  • Azure Data Factory
  • Azure SQL Microsoft
  • Azure Synapse Analytics
  • ETL/ELT Solutions
Nice to have skills:
  • Apache Kafka
  • CI/CD
 
Experience & Qualifications:
  • Expert level understanding of Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service
  • Working knowledge of Python
  • Expert level skills writing and optimizing complex SQL
  • Experience with complex data modeling, ETL design, and using large databases in a business environment
  • Experience with building data pipelines and applications to stream and process datasets at low latencies
  • Fluent with Big Data technologies like Spark, Kafka and Hive
  • Designing and building data pipelines using API ingestion and Streaming ingestion methods
  • Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code
  • Experience in developing NoSQL solutions using Azure Cosmos DB
  • Thorough understanding of Azure and AWS Cloud Infrastructure offerings
Key Responsibilities:
  • Design and implement scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services
  • Manage and optimize data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB
  • Monitor and troubleshoot data-related issues within the Azure environment to maintain high availability and performance
  • Automate data pipelines and workflows to streamline data ingestion, processing, and distribution tasks
  • Utilize Azure's analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision-making
  • Provide guidance and support for data governance, including metadata management, data lineage, and data cataloging