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Junior Azure Data Engineer Jobs in Edison, NJ (NOW HIRING)

MTA Headquarters

Specialist Data Engineer

New York, NY · Hybrid

$114K - $134K/yr

Azure Data Engineer Associate is preferred. * Microsoft Certified: Azure Data Fundamentals is preferred. Knowledge, Skills and Abilities: * Strong knowledge of Big Data architectures, large data ...

Errgo

Junior Data Engineer

Jersey City, NJ · On-site

$70 - $95/hr

As a Junior Data Engineer, the candidate will help build and maintain the data infrastructure that ... Familiarity with cloud platforms (AWS, GCP, or Azure) * Strong problem-solving skills and attention ...

1 point system

Data Engineer (Azure / Spark)

New York, NY · Remote

$56.25 - $69.75/hr

Strong coding background for Spark job development and functional programming. * Apache Spark: Advanced experience in distributed data processing, batch and streaming pipelines. * Azure Managed ...

Tror AI for everyone

Azure Databricks Engineer

Iselin, NJ · On-site

$61 - $79.25/hr

Data Pipeline Development: * Build and maintain scalable ETL/ELT pipelines using Databricks ... Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification ...

Dlapiper

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

Dlapiper

Data Engineer

Short Hills, NJ · On-site

$124K - $149K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure ...

NAVA Software Solutions

Data Engineer - Azure

Weehawken, NJ · On-site

$124K - $149K/yr

Cloud Data Engineer/Strong in Azure Location - Weehawken NJ - Hybrid Type: FTE / Direct Hire We are seeking a highly skilled and experienced Cloud Data Engineer to join our team. As a Cloud Data ...

NAVA Software Solutions

Azure SQL Developer

Weehawken, NJ · On-site

$59.75 - $74.25/hr

TSQL Programmer and Batch Developer (Using Azure Data Factory and Python Scripting) * Experience in Requirement Analysis, Strategic Analysis, Software Development Fundamentals, Design, Development ...

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Junior Azure Data Engineer information

See Edison, NJ salary details

$34.7K

$74.3K

$113.4K

How much do junior azure data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for junior azure data engineer in Edison, NJ is $74,330.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,200.00 and $82,800.00 per year, depending on experience, location, and employer.

What is a junior Azure Data engineer?

A Junior Azure Data Engineer is an entry-level role focused on designing, building, and maintaining data solutions on Microsoft Azure. They assist in data ingestion, transformation, and storage using Azure services like Azure Data Factory, Synapse Analytics, and Databricks. Their responsibilities typically include data pipeline development, ETL processes, and ensuring data security and compliance. They often work under senior engineers to optimize data solutions and troubleshoot issues. This role requires knowledge of cloud computing, SQL, and data processing frameworks.

What does a junior Azure Data engineer do?

As a Junior Azure Data Engineer, your day-to-day tasks might include assisting with the design, development, and maintenance of data pipelines using Azure Data Factory, writing SQL queries for data extraction or transformation, and performing routine data validation to ensure data integrity. You’ll often collaborate with senior engineers, data analysts, and business stakeholders to gather requirements and deliver accurate data solutions aligned with company needs. In addition, you may assist in monitoring cloud resources, troubleshooting data flow issues, and updating documentation. This role is a great entry point for developing your skills in cloud data engineering and building a solid foundation for future growth.

What are the key skills and qualifications needed to thrive as a junior Azure Data engineer?

To excel as a Junior Azure Data Engineer, you need foundational knowledge of data modeling, ETL processes, SQL, and cloud platforms, typically backed by a degree in computer science or a related field. Familiarity with Microsoft Azure services such as Azure Data Factory, Azure SQL Database, and basic understanding of data lake storage, along with entry-level certifications like Microsoft Azure Fundamentals, is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you effectively translate business requirements into technical solutions and collaborate with team members. These competencies are crucial for ensuring reliable data pipeline development, supporting data-driven decision-making, and growing within the data engineering profession.

What are the most commonly searched types of Azure Data Engineer jobs in Edison, NJ?

The most popular types of Azure Data Engineer jobs in Edison, NJ are:

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For Junior Azure Data Engineer jobs in Edison, NJ, the most frequently searched job titles are:

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Junior Azure Data Engineer jobs near you
Infographic showing various Junior Azure Data Engineer job openings in Edison, NJ as of August 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $74,330 per year, or $35.7 per hour.

Specialist Data Engineer

Metropolitan Transportation Authority

New York, NY • On-site

$114K - $134K/yr

Full-time

Posted 11 days ago

Metropolitan Transportation Authority rating

7.5

Company rating: 7.5 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

57th of 101 rated public transport

Job description

Description
Position at MTA Headquarters
JOB TITLE:
Specialist Data Engineer
SALARY RANGE:
$114,070 - $134,641
DEPT/DIV:
Information Technology
SUPERVISOR:
Director, Product Development
LOCATION:
Various
HOURS OF WORK:
9:00 am - 5:30 pm (7.5 hours/day) or as required
This position is eligible for teleworking, which is currently 2 days per week. New hires are eligible to apply 30 days after their effective date of hire.
Opening:
The Metropolitan Transportation Authority is North America's largest transportation network, serving a population of 15.3 million people across a 5,000-square-mile travel area surrounding New York City, Long Island, southeastern New York State, and Connecticut. The MTA network comprises the nation's largest bus fleet and more subway and commuter rail cars than all other U.S. transit systems combined. MTA strives to provide a safe and reliable commute, excellent customer service, and rewarding opportunities.
Summary:
This role is responsible for the design, deployment, development and maintenance of data solutions. The Data Engineer will participate in a variety of data related projects and work closely with the Data analysts, data scientists, Business users and other stakeholders to gather requirements and build data pipelines that meet the organizations' needs. The Data Engineer will deploy and support Data platforms that process and store data. They will contribute to software development methods, tools, and techniques and applies agreed standards and tools to achieve well-engineered outcomes.
Responsibilities:
  • Design, develop, and implement data solutions to meet business requirements and data ingestion needs facilitating accurate and timely data availability for analysis and decision-making.
  • Extract, load and Transform (ELT/ETL) data from various sources, including on-premises and cloud-based systems, APIs, databases, and files.
  • Write well designed, efficient code, that adheres to security standards.
  • Monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner to minimize disruptions in data processing for on premise and cloud environments.
  • Implement data quality checks and validation processes to ensure accuracy and completeness of data. collaborate with the data team to resolve them.
  • Writes complex queries and scripts to efficiently manipulate, transform, and process raw data.
  • Creates and executes data validation processes to ensure the reliability and consistency of incoming data. Build processes to monitor data quality.
  • Continuously optimize data pipelines for performance, scalability, and reliability.
  • Create and maintain technical documentation. Contribute to building and maintaining data catalog and lineage.
  • Design and develop CI/CD processes that ensure high availability and agility.
  • Develop cloud data services provisioning automation with integrated capabilities of IAM, network, security policies as code, and observability.
  • Build tools and services to support data discovery, lineage, resiliency, and privacy compliance across the data platform.
  • Stay updated with the latest trends and best practices in data engineering, cloud computing, and Azure services to suggest innovative solutions to continually improve the organization's data intelligence capabilities.
  • Monitors and reports on supplier performance, customer satisfaction, adherence to security requirements and market intelligence.
  • May mentor less experienced staff

Required Qualifications:
  • Bachelor's Degree in Arts/Sciences (BA/BS). An equivalent combination of education and experience may be considered in lieu of a degree.
  • Minimum 3 years of relevant experience.
  • Microsoft Certified: Azure Data Engineer Associate is preferred.
  • Microsoft Certified: Azure Data Fundamentals is preferred.

Knowledge, Skills and Abilities:
  • Strong knowledge of Big Data architectures, large data warehouse and Data Lake solutions.
  • Experience designing and implementing Modern Data and Analytics solutions including Lakehouse architecture, Medallion architecture.
  • Proficient in cloud services including Azure Databricks. Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Store, Microsoft Purview and Power BI.
  • Experience deploying and running cloud-based data solutions and infrastructure-as-code frameworks like Terraform
  • Proficient in cloud deployments (MS Azure preferred) in an agile SDLC environment, leveraging modern programming languages, DevOps.
  • Experience with major database platforms including Oracle, SQL Server as well as Cloud databases and NOSQL Databases.
  • Strong understanding of data engineering concepts, ELT/ETL principles, and data modeling.
  • Experience with data integration techniques for both structured and unstructured data.
  • Solid programming skills in languages such as Python, Pyspark, SQL.
  • Experience with Airflow.
  • Experience in DevOps, Git Repos and CI/CD pipelines for code deployment.
  • Experience in programming and infra-automation tools - Terraform, Ansible, python, etc.
  • Experience with Microsoft Purview is a plus
  • Strong knowledge of Microsoft Azure Cloud. AWS and GCP desirable.
  • Functional knowledge of Microsoft Power BI
  • Experience with Jira, Confluence.
  • Demonstrated ability to work independently and navigate organizational ambiguity.
  • Effective written and verbal communication skills
  • Hands-on programming experience in a business setting.
  • Proficiency in at least one software engineering methodology, including but not limited to Agile, Scrum, DevOps, Extreme Programming (XP), Kanban, Lean, Rapid Application Development (RAD).
  • Experience applying a structured validation and testing method, including but not limited to: Unit Testing, Integration Testing, System Testing, Acceptance Testing, Regression Testing.
  • Proficient collaboration skills to ensure design specifications are seamlessly implemented by the development team.
  • Demonstrated ability to work independently and navigate organizational ambiguity.
  • Effective written and verbal communication skills

Preferred Technical Skills:
  • Data Structures and Algorithms (Thorough Knowledge/Fully Proficient)
  • Cloud Computing (Thorough Knowledge/Fully Proficient)

Competencies:
Core Competency
Proficiency Level
Competency Definition
Cultivates Innovation
Capable
Creating new and better ways for the organization to be successful
Customer Focus
Capable
Building strong customer relationships and delivering customer-centric solutions
Values Diversity
Adept
Recognizing the value that different perspectives and cultures bring to an organization
Communicates Effectively
Adept
Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
Tech Savvy
Capable
Anticipating and adopting innovations in business-building digital and technology applications
Technical Skills
Capable
Specialized knowledge and expertise on tools, programs, domains, platforms, and products used for specific tasks
Other Information:
Pursuant to the New York State Public Officers Law & the MTA Code of Ethics, all employees who hold a policymaking position must file an Annual Statement of Financial Disclosure (FDS) with the NYS Commission on Ethics and Lobbying in Government (the "Commission").
Equal Employment Opportunity:
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities.
The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.

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