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Data Engineer Using Azure Data Factory Jobs (NOW HIRING)

Noblesoft Technologies

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Job Title: Data Engineer location : Princeton, NJ Minimum Mandatory Skills: ADF, Data Bricks ... Design and implement ETL/ELT pipelines using Azure Data Factory . * Develop and optimize data ...

Siri InfoSolutions Inc

Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Data Engineer - GA UPDATE: 7 positions open!! 5 SUB SPOTS AVAILABLE!!! Location: Dunwoody, GA ... Design and build robust data pipelines using Azure Data Factory (ADF) * Build and optimize data ...

Cloud think technologies LLC

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 ...

Stellar IT Group

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

Data Engineer Location: Orlando, FL (Hybrid - 1 day onsite, 4 days remote) Duration: 3-6+ month ... using Azure Data Factory (ADF) , ensuring reliable and efficient data delivery across critical ...

Kasmo Global

Data Engineer

Dallas, TX

$113K - $136K/yr

Data Engineer Duration - Contract Location - Dallas, TX Only Local Note: Second round interviews ... using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions ...

Symhas

Senior Data Engineer (.NET / Azure)

Dallas, TX · On-site

Senior Data Engineer (.NET / Azure) Contract | Dallas, TX | 5-6 Years Experience | In-Person ... Key Responsibilities • Design and implement robust ETL/ELT pipelines using Azure Data Factory ...

Programmers.io

Associate Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Required Experience: · 2-3 years in data engineering or analytics using SQL. * Exposure to Agile and DevOps practices. Required Skills: · Basic experience with Azure Data Factory or Azure ...

Vergence

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

... using Azure Data Factory, Synapse Pipelines, Data Bricks and/or Microsoft Fabric Data Factory. • ... Platform Engineering & DevOps • Implement CI/CD for data pipelines using Azure DevOps (YAML ...

Vergence

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

... using Azure Data Factory, Synapse Pipelines, Data Bricks and/or Microsoft Fabric Data Factory. • ... Platform Engineering & DevOps • Implement CI/CD for data pipelines using Azure DevOps (YAML ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer

$117K - $140K/yr

Data Engineer About the Role: CannGen is looking for a hands-on Data Engineer to drive the ... using Power BI or other visualization tools. * Experience in Azure Databricks, Azure Data Factory ...

SECURE RPO LLC

Data Engineer

Jersey City, NJ

$119K - $143K/yr

Senior Data Engineer with PySpark and Databricks Client: SMBC Location: Hybrid 3X a week in Jersey ... using Azure Data Factory and Databricks. • Developing scalable and re-usable frameworks for ...

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All JobsData Engineer Using Azure Data Factory Jobs

Data Engineer Using Azure Data Factory information

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$129.7K

$177.5K

How much do data engineer using azure data factory jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data engineer using azure data factory in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer Using Azure Data Factory vs Data Analyst?

AspectData Engineer Using Azure Data FactoryData Analyst
Primary FocusBuilding and managing data pipelines, integrating data sources using Azure Data FactoryAnalyzing data to generate reports and insights
Skills & CertificationsAzure Data Factory, SQL, ETL, cloud computing certificationsData visualization, SQL, Excel, statistical analysis
Work EnvironmentCloud platforms, data warehouses, ETL pipelinesBusiness intelligence tools, spreadsheets, reporting platforms
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business sectors

While Data Engineers Using Azure Data Factory focus on building data pipelines and managing data workflows in cloud environments, Data Analysts primarily interpret data to support decision-making through reports and visualizations. Both roles require strong SQL skills, but Data Engineers need cloud and ETL expertise, whereas Data Analysts focus on data interpretation and presentation.

Infographic showing various Data Engineer Using Azure Data Factory job openings in the United States as of June 2026, with employment types broken down into 7% Full Time, 90% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer

Data Engineer

Noblesoft Technologies

Princeton, NJ • On-site

$120K - $144K/yr

Contractor

Posted 8 hours ago

Be an early applicant

Job description

Job Title: Data Engineer
location : Princeton, NJ
 
Minimum Mandatory Skills: ADF, Data Bricks
Desired Skills: Python, PySpark
 
Key Responsibilities:
  • Design and implement ETL/ELT pipelines using Azure Data Factory.
  • Develop and optimize data processing workflows in Azure Databricks using PySpark.
  • Integrate data from multiple sources into a unified data platform.
  • Ensure data quality, security and compliance across all processes.
  • Collaborate with data architects, analysts and business teams to deliver reliable data solutions.
  • Monitor and troubleshoot data pipelines for performance and reliability.
  • Implement best practices for data governance, metadata management and data lineage.
Required Skills & Qualifications:
  • 6–8 years of experience in data engineering and data platform development.
  • Strong hands-on experience with Azure Data Factory, Azure Databricks and PySpark.
  • Proficiency in SQL and working with relational databases.
  • Experience with data modeling, data warehousing and big data processing.
  • Familiarity with Azure ecosystem (Data Lake, Synapse, Key Vault, etc.).
  • Strong problem-solving and debugging skills