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Azure Data Factory Contract Jobs (NOW HIRING)

Azure Data Engineer

Fort Worth, TX · On-site

$52.75 - $65.25/hr

Contract (12 Months) This is hybrid role and there will be in-person client interview . Looking for ... Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and ...

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Azure Data Engr

Houston, TX · On-site

$52.50 - $65.25/hr

Azure Data Engr Location : Houston Duration : Long term contract Job Overview : Design and Build ... Azure Data Factory (ADF) Azure Databricks Python Spark SQL & PySpark Azure Synapse, Azure SQL ...

Azure Data Engineer

Weehawken, NJ · On-site

$59.75 - $74.25/hr

Primary skill- 1. Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required 2. Designing and building of data pipelines using API ...

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... Factory. · Build simple to complex pipelines, activities, Datasets & data flows · Utilize Azure compute services [Databricks, Data Lake Store, PySpark, Apache Spark, Synapse, Data Factory] to ...

Azure Data Engineer

$117K - $140K/yr

Azure Data Engineer Associate (or higher), Azure Data Factory, Job Summary: We are seeking a highly skilled Data Engineer with strong expertise in Azure Data Factory , Azure Databricks , Oracle , and ...

Lead Azure ADF Developer

Rolling Meadows, IL · On-site

$55.25 - $68.75/hr

Contract * Must have 10+ years of relevant experience in IT services * Design and implement data pipelines using Azure Data Factory * Manage and optimize data pipelines ensure data quality compliance

Azure Data Bricks Consultant

Fort Worth, TX · On-site

$52.75 - $65.50/hr

Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure ...

Azure SQL Developer

Weehawken, NJ · On-site

$59.75 - $74.25/hr

TSQL Programmer and Batch Developer (Using Azure Data Factory and Python Scripting) * Experience in Requirement Analysis, Strategic Analysis, Software Development Fundamentals, Design, Development ...

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Azure Data Factory Contract information

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

As of Aug 3, 2026, the average hourly pay for azure data factory contract in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Azure Data Factory Contractor, and why are they important?

To thrive as an Azure Data Factory Contractor, you need strong experience in data integration, ETL processes, SQL, and cloud-based data services, often supported by a degree in computer science or related field. Familiarity with Azure Data Factory, Azure Synapse Analytics, Power BI, ADF pipelines, and relevant Microsoft certifications like Azure Data Engineer Associate are typically required. Excellent problem-solving, communication, and project management skills enable collaboration and effective delivery of complex data solutions. These skills ensure robust, scalable data integration workflows that meet business needs and drive success in cloud data projects.

What is an Azure Data Factory contract job?

An Azure Data Factory contract job involves working on a temporary or project-based basis to design, develop, and maintain data integration solutions using Microsoft Azure Data Factory. Contractors are typically responsible for building data pipelines, orchestrating data workflows, and ensuring data is efficiently moved and transformed across various sources. These professionals work with cloud-based data services, often collaborating with teams to implement ETL (Extract, Transform, Load) processes. Contract roles may be short-term or extend over several months, depending on project requirements.

What are some common challenges faced by Azure Data Factory contractors and how can they be addressed?

Azure Data Factory contractors often encounter challenges such as integrating diverse data sources, managing complex data pipelines, and ensuring data security within client environments. To address these, it's important to stay updated on Azure's latest features, maintain clear documentation for data flows, and communicate regularly with stakeholders to align on data requirements. Additionally, leveraging built-in monitoring tools and collaborating with in-house IT teams can help ensure that solutions are robust and scalable.

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

AspectAzure Data Factory ContractAzure Data Engineer
CredentialsAzure certifications, data integration skillsAzure certifications, data engineering, SQL, ETL skills
Work EnvironmentProject-based, client sites, cloud platformsIn-house or consulting, cloud and on-premises environments
Industry UsageData integration projects, cloud migrationData pipeline development, data architecture
Search IntentContract roles involving Azure Data FactoryFull-time or contract roles as Azure Data Engineer

Azure Data Factory Contract roles focus on short-term projects involving data integration using Azure Data Factory, often requiring specific certifications. Azure Data Engineers have broader responsibilities in designing and maintaining data pipelines and architectures, with similar certifications but a wider skill set. Both roles are vital in cloud data solutions but differ mainly in scope and employment type.

More about Azure Data Factory Contract jobs
What cities are hiring for Azure Data Factory Contract jobs? Cities with the most Azure Data Factory Contract job openings:
What are the most commonly searched types of Azure Data Factory jobs? The most popular types of Azure Data Factory jobs are:
What states have the most Azure Data Factory Contract jobs? States with the most job openings for Azure Data Factory Contract jobs include:
Infographic showing various Azure Data Factory Contract job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,476 per year, or $58.4 per hour.

Azure Data Engineer

VeridianTech

Fort Worth, TX • On-site

$52.75 - $65.25/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Role - AZURE Data Engineer

Location - Fort Worth, TX

Duration: Contract (12 Months)

Job Description:

This is hybrid role and there will be in-person client interview .

Looking for 6- 7 years and above exp.

Top skills are: SQL, Python, Azure, Databricks, Pyspark

  • 5-7 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
    5-7 years data analytics experience using SQL
    5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
    Combination of Development, Administration & Support experience in several of the following tools/platforms required:
    o Scripting: Python, Spark, Unix, SQL
    o Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer. Administration skills a plus
    o Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions
    o CI/CD: GitHub, Jenkins, Azure DevOps, Terraform
    o BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana
    o Clear understanding on Data Warehousing concept
    o Data Governance and Privacy: Informatica Axon and EDC, BigID
    o Orchestration: Azure Data Factory, Tivoli

Preferred Qualifications- Education & Prior Job Experience :

5-7 years software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
5-7 years data analytics experience using SQL
5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
Azure (Data Factory, Azure Functions, ADX, Event Hub, ASA) experience