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Executive Azure Data Factory Developer Jobs in Newark, NJ

Sidram Technologies

Azure Architect on w2

New York, NY · On-site

$69.50 - $90.50/hr

Implement engineering excellence by enforcing regular code reviews, continuous integration, high ... Experience on Azure API gateway, Azure Data Factory, Azure code commit and Azure Storage Service

UnitedHealth Group

Azure Cloud Engineer

Basking Ridge, NJ · On-site

$72K - $130K/yr

We are seeking a Software Engineer to join our IT Asset Management (ITAM) team. In this role, you ... NET Web APIs, React-based user interfaces, and robust ETL pipelines using Azure Data Factory (ADF)

Virtusa Corporation

Senior Consultant

New York, NY · On-site

Design and implement end-to-end data engineering solutions on Microsoft Azure. Develop and maintain data pipelines using Azure Data Factory (ADF).Build scalable data processing frameworks using Azure ...

GNY Insurance Companies

Data Engineer 2 - Guidewire

Edison, NJ · On-site

$116K - $139K/yr

Expertise in Azure Databricks, Azure Data Factory, Apache Spark, and data pipeline development for scalable data engineering solutions * Collaboration with cross-functional groups * Strong analytical ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Location: Remote Project Duration: 6-12 months Responsibilities: * Analysis, design ... Hands-on experience with SSIS, Azure Data Factory, Azure Databricks, and Snowflake * Proven skills ...

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Executive Azure Data Factory Developer information

See Newark, NJ salary details

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$61

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How much do executive azure data factory developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for executive azure data factory developer in Newark, NJ is $61.07, according to ZipRecruiter salary data. Most workers in this role earn between $55.29 and $68.61 per hour, depending on experience, location, and employer.

What is the difference between Executive Azure Data Factory Developer vs Azure Data Factory Developer?

AspectExecutive Azure Data Factory DeveloperAzure Data Factory Developer
CertificationsAzure Data Engineer, Azure Data Factory certificationsAzure Data Engineer, Azure Data Factory certifications
Work EnvironmentLeadership roles, strategic planning, cross-team collaborationTechnical implementation, data pipeline development, coding
Industry UsageUsed in organizations with senior data management needsUsed across various industries for data integration tasks

The Executive Azure Data Factory Developer typically combines technical expertise with strategic leadership, overseeing data projects and guiding teams. In contrast, the Azure Data Factory Developer focuses on building and maintaining data pipelines. Both roles require similar certifications, but their responsibilities differ in scope and seniority.

Executive Azure Data Factory Developer jobs near you

DataBricks Data Engineer

Globalchannelmanagement

New York, NY • On-site

$74 - $75/hr

Full-time

Re-posted 15 hours ago

Job description

DataBricks Data Engineer requires:

  • Must have functional and technical experience with Sales Incentive Compensation (SIC) including incentive plan design, quota allocation, attainment tracking, commission calculations, and payout processing.
  • At least 7 years of experience in data engineering, with a minimum of 3 years hands-on experience building and managing Databricks solutions.
  • Extensive experience with Databricks platform components: Delta Lake, Delta Live Tables, Unity Catalog and Databricks Workflows.
  • Strong proficiency in Python and/or Scala for data engineering; SQL expertise required.
  • Strong experience with core data engineering practices including data ingestion, transformation (ETL/ELT), data modeling, and pipeline orchestration.
  • Experience integrating Databricks with cloud platforms (Azure, AWS, or GCP) and data sources such as Azure Data Factory, Event Hubs, Kafka, or equivalent.
  • Passion and ability to create holistic, end-to-end, integrated data solutions.
  • Familiarity with SIC platforms (e.g., Anaplan, Oracle ICM, Varicent) and experience integrating them with data engineering platforms is a strong plus.
  • Ability to understand complex incentive compensation rules and model them accurately in data pipelines and transformation logic