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Temporary Azure Data Factory Jobs (NOW HIRING)

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Hands-on experience on Azure Platform including Data Factory, Synapse, Data Lake Gen2, CICD, DevOps. * Strong exp in SQL Server DB, SQL Server Data Warehouse. * Collaborate with project stakeholders ...

Senior Azure Data Architect

Hazlet, NJ · On-site

$65.50 - $85.25/hr

Define and implement data ingestion pipelines using Azure Data Factory, Azure Databricks, Azure Synapse, and related services. * Design scalable and secure data models for clinical, claims, EMR/EHR ...

Azure Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Build and optimize ETL/ELT workflows using Azure Data Factory (ADF). * Develop and manage data processing solutions using Azure Databricks, Python, and Apache Spark. * Design and maintain Azure Data ...

Azure Data Technical Lead

$65 - $84.75/hr

Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, Azure Databricks, and Azure SQL Database. • Data Architecture: Strong understanding of data modelling, ETL processes, data warehousing ...

Azure Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Design and implement scalable ETL/ELT pipelines using Azure Data Factory (ADF). · Big Data Processing: Build high-performance, distributed data transformation workloads via Azure Databricks and ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Working Knowledge of Azure Data factory, Azure Data Lake, and Azure Data lake storage * Hands-on in Visualisation like Power BI * Implement end-to-end data pipelines using Cosmos Azure Data Factory

Azure Data Engineer

$117K - $140K/yr

Azure Databricks Azure Data Factory Pyspark Git Secondary Skills: Python Excellent problem-solving skills and attention to detail Strong communication and collaboration skills

Data Engineer (Azure / Spark)

New York, NY · Remote

$56.25 - $69.75/hr

Azure Data Factory (ADF): Hands-on experience building and orchestrating ETL pipelines. * HDInsight: Deploying and managing Hadoop/Spark clusters for large-scale analytics. * Azure Data Lake Storage ...

Expertise and hands-on experience on Azure Platform including Data Factory, Synapse, Data Lake Gen2, CICD, DevOps. * Expertise in SQL Server DB, SQL Server Data Warehouse. * Collaborate with project ...

Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions CI/CD: GitHub, Jenkins, Azure DevOps, Terraform BI Analytics Tool Stack - Cognos ...

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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:
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 Engineer

$110K - $132K/yr

Full-time

Re-posted 11 days ago


Job description

NAVA Software solutions is looking for a Azure Data Engineer
Details:
Position: Azure Data Engineer
Location: Atlanta GA - Hybrid / / Remote also ok
Duration: 12 months
Responsibilities
  • Strong exp in Azure Data Analytics having a thorough understanding of Azure Data Platform tools.
  • Hands-on experience on Azure Platform including Data Factory, Synapse, Data Lake Gen2, CICD, DevOps.
  • Strong exp in SQL Server DB, SQL Server Data Warehouse.
  • Collaborate with project stakeholders like database administrators, technical architects, business analysts, and product owners to determine project needs and plan development and implementation strategies.
  • To create strategies and design solutions for a wide variety of use cases like Data Migration (end-to-end ETL process), database optimization, and data architectural solutions for Analytics Data Projects.
  • To design, develop and troubleshoot highly complex technical problems in OLAP/OLTP/DW, Analytics and provide solutions for Enterprise level Applications utilizing Azure Data Platform.
  • Work on streamlining data flows and data models consistently.
  • Have a keen focus on improving and tuning data quality, accessibility, performance, and security needs.

Skills Required
  • Proficient in the tools: Azure Data Factory, Azure Data Lake, Azure Synapse, Azure SQL DB, MS-SQL
  • Create conceptual, logical, and physical data models for both relational and dimensional solutions.
  • Effectively managing large sets of data for performance, security, and data governance viewpoint.
  • Deep knowledge of a wide variety of database systems and data mining techniques.
  • Experience to build and test physical data models for a variety of use cases meeting performance and efficiency goals.
  • Excellent in Logical and Physical Data Modelling using data modeling tools like Erwin, Enterprise Architect, etc.
  • Experience in Azure Functions.
  • Experience with implementing metadata-driven dynamic Azure pipelines is a plus.

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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