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Full Time Azure Data Factory Jobs (NOW HIRING)

ACI Infotech

Senior Azure Data Engineer

Atlanta, GA · On-site

$61 - $79.50/hr

Greetings from ACI ! Full Time: Accepting H1B Transfers Technical Skills * Expertise in SQL coding ... Azure Data Factory (ADF), Azure Event Hubs, Azure IoT Hubs, Azure Event Grid * Architect level ...

ACI Infotech

Data Solutions Architect

Enterprise Data Solution Architect Atlanta, GA(Remote) Full-time role Skills Required: ADF(Azure Data Factory); Databricks; Python; SQL and Azure cloud JD: Required Skills & Qualifications:

ARC Group

Azure Cloud Data Engineer

Weston, FL · Remote

$108K - $130K/yr

This is 100 REMOTE and a full-time direct hire and requires you to currently hold permanent work ... Factory one more of the following, Azure Synapse (DWH), Azure SQL Database, Azure Data Bricks ...

eTeam

Azure Migration Architect

Jersey City, NJ · On-site

$69.50 - $90.50/hr

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 ...

Tata Consultancy Services

Azure Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

COSMSO, Kusto, Data Factory (ETL), Synapse Data Engineering (Spark/SQL), Synapse Data Warehousing ... Required : • 8 - 10 Years of experience • Strong in Azure Data Services ADF, Azure SQL database ...

Palnar

Azure Data Architect w/D365 Exp

$65 - $84.75/hr

Experience with data warehousing solutions and ETL tools like Azure data Factory. * In depth knowledge of Power BI for data visualization and report creation * Ability to translate business ...

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Full Time Azure Data Factory information

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How much do full time azure data factory jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for full time 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 is the difference between Full Time Azure Data Factory vs Data Engineer?

AspectFull Time Azure Data FactoryData Engineer
Required SkillsAzure Data Factory, ETL, cloud data integrationSQL, Python, ETL, cloud platforms
CertificationsAzure Data Engineer Associate, Azure certificationsNone specific, often cloud or data certifications
Work EnvironmentCloud-based data integration projectsData pipeline development, database management
Industry UsageData integration roles in cloud-focused companiesData infrastructure across various industries

Full Time Azure Data Factory roles focus on cloud-based data integration using Azure services, often requiring specific certifications. Data Engineers have broader responsibilities in building and maintaining data pipelines across platforms, with skills in SQL and programming. Both roles are essential in data-driven organizations but differ in scope and technical focus.

What are Full Time Azure Data Factory jobs?

Full Time Azure Data Factory jobs are positions where professionals work exclusively with Microsoft Azure Data Factory (ADF), a cloud-based data integration service. These roles typically involve designing, building, and managing data pipelines to move and transform data across various sources in the cloud. Employees in these jobs often collaborate with data engineers, analysts, and other IT staff to ensure efficient data workflows and solutions. Working full-time means the individual is employed on a standard work schedule, usually 40 hours per week, focusing solely on Azure Data Factory-related tasks.

What are the key skills and qualifications needed to thrive as a Full Time Azure Data Factory professional, and why are they important?

To thrive as a Full Time Azure Data Factory professional, you need strong expertise in data integration, ETL processes, and SQL, typically supported by a degree in computer science or a related field. Proficiency with Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and certifications like Microsoft Certified: Azure Data Engineer Associate are highly valuable. Analytical thinking, problem-solving, and effective communication are important soft skills for collaborating with teams and addressing complex data challenges. Mastering these skills ensures efficient data pipeline development, reliable data management, and successful delivery of business intelligence solutions.

What are some common challenges faced by professionals working full-time with Azure Data Factory, and how can they be addressed?

Full-time Azure Data Factory professionals often encounter challenges such as orchestrating complex data workflows, managing data integration across diverse sources, and ensuring data pipeline reliability. Navigating frequent updates to cloud services and maintaining robust security and compliance can also add complexity. These challenges can be addressed by staying updated with Azure documentation, leveraging built-in monitoring and error-handling features, and actively collaborating with data engineers, architects, and business analysts to align on data requirements and best practices.
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What cities are hiring for Full Time Azure Data Factory jobs? Cities with the most Full Time Azure Data Factory job openings:
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Full Time Azure Data Factory jobs near you
Infographic showing various Full Time 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 Databricks Architect / SME

Futran Tech Solutions Pvt. Ltd.

Bellevue, WA • On-site

$71.75 - $93.50/hr

Full-time

Re-posted 27 days ago

Job description

Responsibilities
  • Lead the architecture design and implementation of advanced analytics solutions using Azure Databricks Fabric The ideal candidate will have a deep understanding of big data technologies data engineering and cloud computing with a strong focus on Azure Databricks along with Strong SQL
  • Work closely with business stakeholders and other IT teams to understand requirements and deliver effective solutions
  • Oversee the endtoend implementation of data solutions ensuring alignment with business requirements and best practices
  • Lead the development of data pipelines and ETL processes using Azure Databricks PySpark and other relevant tools
  • Integrate Azure Databricks with other Azure services eg Azure Data Lake Azure Synapse Azure Data Factory and onpremise systems
  • Provide technical leadership and mentorship to the data engineering team fostering a culture of continuous learning and improvement
  • Ensure proper documentation of architecture processes and data flows while ensuring compliance with security and governance standards
  • Ensure best practices are followed in terms of code quality data security and scalability
  • Stay updated with the latest developments in Databricks and associated technologies to drive innovation

Essential Skills
  • Strong experience with Azure Databricks including cluster management notebook development and Delta Lake
  • Proficiency in big data technologies eg Hadoop Spark and data processing frameworks eg PySpark
  • Deep understanding of Azure services like Azure Data Lake Azure Synapse and Azure Data Factory
  • Experience with ETLELT processes data warehousing and building data lakes
  • Strong SQL skills and familiarity with NoSQL databases
  • Experience with CICD pipelines and version control systems like Git
  • Knowledge of cloud security best practices

Soft Skills
  • Excellent communication skills with the ability to explain complex technical concepts to nontechnical stakeholders
  • Strong problemsolving skills and a proactive approach to identifying and resolving issues
  • Leadership skills with the ability to manage and mentor a team of data engineers

Nice to have Skills
  • Power BI for dashboarding and reporting
  • Microsoft Fabric for analytics and integration tasks
  • Spark Streaming for processing realtime data streams
  • Familiarity with Azure Resource Manager ARM templates for infrastructure as code IaC practices

Experience
  • Demonstrated expertise of 8 years in developing data ingestion and transformation pipelines using DatabricksSynapse notebooks and Azure Data Factory
  • Solid understanding and handson experience with Delta tables Delta Lake and Azure Data Lake Storage Gen2
  • Experience in efficiently using Auto Loader and Delta Live tables for seamless data ingestion and transformation
  • Proficiency in building and optimizing query layers using Databricks SQL
  • Demonstrated experience integrating Databricks with Azure Synapse ADLS Gen2 and Power BI for endtoend analytics solutions
  • Prior experience in developing optimizing and deploying Power BI reports
  • Familiarity with modern CICD practices especially in the context of Databricks and cloudnative solutions

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