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Azure Data Engineer Jobs in New Jersey (NOW HIRING)

Scigon Solutions

Azure Data Engineer

Camden, NJ · On-site

$97K - $130K/yr

Azure Data Engineer Salary: $97,500-$130,000 Job Summary We are seeking an experienced Azure Data Engineer with strong Databricks expertise to design, develop, and support scalable cloud-based data ...

New

André Global, Inc.

Azure Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Azure Data Engineer: * 10+ years of strong experience in a large & complex application development environment, last 2 projects in investment banking or financial services industry and on data-heavy ...

Tech Tammina LLC

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Role: Azure Data Engineer Location: Hamilton, NJ (4 days onsite) Duration: Long term Responsibilities * Design and develop data pipelines using Azure Data Services and Databricks . * Build and ...

Kanak Elite Services Inc

Azure Data Engineer

Weehawken, NJ · On-site

$124K - $149K/yr

Role: AZURE DATA ENGINEER Location: Weehawken, NJ - 5 days onsite (Need Local Candidates from NY, NJ) Client: Infosys/UBS Need PP no. as well !! Duration: 12 Months Experience: Need 10+ Years ...

TekShapers

Lead Azure Data Engineer

Raritan, NJ · On-site

$65 - $84.75/hr

Lead Azure Data Engineer Experience: 10-12 Years Location: New Jersey Work Arrangement: Hybrid - Minimum 2 Days Onsite per Week Relevant Azure Data Lead Experience: 5+ Years Mandatory Technical ...

New

Amicis Global

Azure Data Engineer

Jersey City, NJ · On-site

$80 - $85/hr

Azure Data Engineer Location: Jersey City, NJ - Hybrid 07311 Duration: 12 months+ Summary: Designs and builds data solutions using Microsoft Azure technologies. Responsibilities : * Develop data ...

PamTen Inc

Lead - Azure Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

PamTen Inc is seeking an experienced Data Engineer with strong expertise in Azure cloud services and Data Engineering practices. The ideal candidate will play a key role in designing, building, and ...

Zortech Solutions

Azure Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

Azure Data Engineer Location: Iselin NJ - (3 Days from Office) Experience: 12+ Years Interview Process: Face to Face Interview in Piscataway, NJ, or NYC NY Must Have: Snowflake SQL Python ADF Azure ...

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 ...

Atyeti Inc

Sr Azure Data Engineer/Architect

Princeton, NJ · On-site

$67.25 - $87.50/hr

ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates Qualifications Previous experience as an Azure Data Engineer or ...

Atyeti Inc

Sr Azure Data Engineer/Architect

Princeton, NJ · On-site

$67.25 - $87.50/hr

ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates Qualifications Previous experience as an Azure Data Engineer or ...

Centstone

Senior Azure Data Architect

Hazlet, NJ · On-site

$65.50 - $85.25/hr

Collaborate with business stakeholders, product owners, data engineers, BI developers, and SMEs to translate requirements into technical solutions. * Optimize performance and cost of Azure data ...

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 ...

Pwc

Data Engineer - Manager

Florham Park, NJ

... Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and ...

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All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in New Jersey

Azure Data Engineer information

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$45.2K

$131.7K

$180.2K

How much do azure data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for azure data engineer in New Jersey is $131,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $139,600.00 per year, depending on experience, location, and employer.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

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

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data infrastructure across industries.

What are the most commonly searched types of Azure Data Engineer jobs in New Jersey?

The most popular types of Azure Data Engineer jobs in New Jersey are:

What are popular job titles related to Azure Data Engineer jobs in New Jersey?

For Azure Data Engineer jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Azure Data Engineer jobs in New Jersey look for?

The top searched job categories for Azure Data Engineer jobs in New Jersey are:

What cities in New Jersey are hiring for Azure Data Engineer jobs?

Cities in New Jersey with the most Azure Data Engineer job openings:

Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in New Jersey as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $131,693 per year, or $63.3 per hour.

Azure Data Engineer

Scigon Solutions

Camden, NJ • On-site

$97K - $130K/yr

Other

Posted 2 days ago

New

Job description


Azure Data Engineer Salary: $97,500-$130,000 Job Summary

We are seeking an experienced Azure Data Engineer with strong Databricks expertise to design, develop, and support scalable cloud-based data solutions. This role is responsible for building and maintaining modern data platforms on Microsoft Azure and Databricks, developing robust data pipelines, and enabling analytics and reporting initiatives across the organization.

The ideal candidate will have extensive hands-on experience with Azure Databricks, Azure Data Factory, Delta Lake, Apache Spark, and Medallion Architecture. Experience with Terraform and GitHub Actions is required to support infrastructure automation, CI/CD processes, and cloud platform administration.

Key Responsibilities
  • Design, develop, and maintain scalable data platforms and solutions on Microsoft Azure.
  • Build and optimize ETL/ELT data pipelines using Azure Data Factory and Azure Databricks.
  • Develop data transformation processes leveraging Apache Spark and Delta Lake technologies.
  • Implement and maintain Medallion Architecture (Bronze, Silver, Gold layers) to support enterprise analytics and reporting needs.
  • Collaborate with business stakeholders, analysts, data scientists, and application teams to understand data requirements and deliver solutions.
  • Design and implement efficient data models that support reporting, analytics, and business intelligence initiatives.
  • Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and scalability.
  • Develop and maintain CI/CD pipelines using GitHub Actions.
  • Provision and manage cloud infrastructure using Terraform and Infrastructure as Code (IaC) best practices.
  • Ensure data quality, governance, security, and compliance standards are met.
  • Provide production support and resolve issues related to data integration and platform performance.
  • Document technical designs, architectures, standards, and operational procedures.

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • 5+ years of experience in Data Engineering or related technical roles.
  • Strong experience with:
    • Azure Databricks
    • Azure Data Factory (ADF)
    • Azure Data Lake Storage (ADLS)
    • Apache Spark (PySpark preferred)
    • Delta Lake
    • SQL and data modeling
  • Experience implementing Medallion Data Architecture.
  • Hands-on experience with Terraform for infrastructure automation.
  • Experience building CI/CD pipelines using GitHub Actions.
  • Strong knowledge of cloud-native data engineering best practices.
  • Experience working in Agile environments.
  • Excellent analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications
  • Microsoft Azure certifications.
  • Experience with Azure Synapse Analytics.
  • Experience with Power BI or other analytics platforms.
  • Knowledge of data governance and data security frameworks.
  • Experience supporting large-scale enterprise data environments.

Key Competencies
  • Data Engineering
  • Cloud Architecture
  • ETL/ELT Development
  • Infrastructure as Code (Terraform)
  • CI/CD Automation
  • Data Modeling
  • Problem Solving
  • Communication and Collaboration
  • Performance Optimization
  • Stakeholder Management

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