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Temporary Azure Data Factory Jobs (NOW HIRING)

Noblesoft Technologies

Azure Data/Ops Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Experience with Azure Data Factory * Experience with PySpark * Experience Leading a team of 10 to 15 people onshore/ offshore mix (Leading, Mentoring, Managing) * Experience working within Retail ...

Tror AI for everyone

Azure Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Design and implement data pipelines using Azure Data Factory (ADF) and Azure Synapse Analytics. * Develop and optimize ETL/ELT processes for structured and semi-structured data. * Build and manage ...

Futran Tech Solutions Pvt. Ltd.

Azure Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

Dallas, TX / Tulsa, OK ( Onsite & In-Person Interview ) Top Mandatory Skills: 4 -7 years of hands-on experience in Data Engineering Azure Databricks/Azure Data Factory (Primary Skillset) Azure Data ...

NAVA Software Solutions

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 ...

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL

$113K - $136K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

DATAMAXIS

Senior Azure Data Engineer

Springfield, IL · On-site +1

$113K - $136K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

DATAMAXIS

Senior Azure Data Engineer (Remote)

Springfield, IL · Remote

$117K - $140K/yr

This role is ideal for an engineer with strong hands-on depth in Azure Data Factory, Azure Synapse Analytics and/or Databricks, and modern Lakehouse patterns, who is comfortable leading migration ...

ACI Infotech

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

ADLS Gen2, Azure Data Factory, Azure Databricks, Synapse Analytics,Azure DevOps:-Boards, Repos, Pipelines, Test Plans * Databases: * Must Have: SQL servers/SQL databases, MongoDB, * BI Platforms:

NAVA Software Solutions

Azure Data Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Strong experience in ADLS, Data Lake, Delta Lake Gen II, Synapse, Azure data Factory, Azure data bricks * Data Processing, batch processing, data cleansing, DQ * Data Services like Azure analytics ...

SmartIPlace

Azure DataLake Engineer [remote]

Houston, TX · On-site

$52.50 - $65.25/hr

Top 3 Must Skills 1. 12+ years hands-on experience building scalable ETL/ELT pipelines using Azure Data Factory (mapping data flows, pipelines, triggers)& Synapse pipelines. 2. Experience building ...

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Temporary Azure Data Factory information

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

As of Jul 13, 2026, the average hourly pay for temporary azure data factory 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 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.
More about Temporary Azure Data Factory jobs
What cities are hiring for Temporary Azure Data Factory jobs? Cities with the most Temporary Azure Data Factory 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 Temporary Azure Data Factory jobs? States with the most job openings for Temporary Azure Data Factory jobs include:
What job categories do people searching Temporary Azure Data Factory jobs look for? The top searched job categories for Temporary Azure Data Factory jobs are:
Temporary Azure Data Factory jobs near you
Infographic showing various Temporary Azure Data Factory job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.
Azure Data/Ops Architect

Azure Data/Ops Architect

Noblesoft Technologies

Dallas, TX • On-site

$62.75 - $81.75/hr

Contractor

Re-posted 25 days ago

Job description

Job Title: Azure Data/Ops Architect
Location: Dallas TX or San Francisco CA
 
Role/Responsibilities
We are seeking a highly skilled (Solution Architect) Azure Data/Ops Architect to lead the design and implementation of scalable, automated data operations on Microsoft Azure. This role bridges data engineering, cloud architecture, and DevOps practices to ensure efficient, secure, and reliable data workflows across the organization.
Must Haves for this Opportunity:
  • Experience as Solutions Architect
  • Experience with Data Opps Azure Architect
  • Experience managing End to End Data specific tower
  • Experience with Automation / Optimization (must have)
  • Experience with Azure Databricks
  • Experience with Azure Data Factory
  • Experience with PySpark
  • Experience Leading a team of 10 to 15 people onshore/ offshore mix (Leading, Mentoring, Managing)
  • Experience working within Retail environment.

Key Responsibilities:
  • Architect Azure-Based Data/Ops Solutions:
  • Design and implement end-to-end data pipelines using Azure Data Factory, Synapse Analytics, Azure Databricks, and other Azure services.
  • Develop CI/CD pipelines for data workflows using Azure DevOps and GitHub Actions.
  • Automation & Orchestration:
  • Automate data ingestion, transformation, and delivery processes.
  • Implement workflow orchestration using tools like Apache Airflow or Azure Logic Apps.
  • Monitoring & Optimization:
  • Set up monitoring and alerting for data pipelines using Azure Monitor and Log Analytics.
  • Optimize performance, cost, and scalability of data solutions.
  • Governance & Security:
  • Ensure data governance, lineage, and compliance using Azure Purview and role-based access control (RBAC).
  • Implement data security best practices including encryption, masking, and secure data sharing.
  • Collaboration & Leadership:
  • Work closely with data engineers, analysts, and business stakeholders to align data operations with business goals.
  • Promote Data/Ops culture and best practices across teams.

Required Qualifications:
  • Bachelor’s or master’s degree in computer science, Data Engineering, or related field.
  • 7+ years of experience in data engineering or cloud architecture.
  • Deep expertise in Azure services: Data Factory, Synapse, Databricks, Blob Storage, Azure SQL, Cosmos DB.
Strong understanding of DevOps principles and CI/CD tools