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Azure Data Engineer Intern Jobs in Secaucus, NJ (NOW HIRING)

MedReview

Data Engineer

Manhattan, NY · Remote

$105K - $115K/yr

Design, implement, and maintain end-to-end data pipelines on Azure , ensuring high availability and low latency for healthcare claim and analytics processing. * High-Performance Storage: Manage and ...

cxb

Software Engineer, Intern

Manhattan, NY

Reporting to the Assistant Director, Software Engineering the Software Engineer Intern builds tools ... Microsoft Azure Suite • Proficient in MS Office Suite, including Word, Excel, Outlook, and ...

Optimum

Intern - Data Engineer

Long Island City, NY

$35/hr

The Intern will work closely with Data Engineering and Data Analytics teams to help ingest, process, and manage data across various systems. This role will assist in the development and improvement ...

Trinity Technology Solutions

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Create and manage workflows in Databricks and migrate existing Azure Data Factory pipelines. * Load ... Work with analytics, engineering, and business teams to deliver clean, ready-to-use datasets.

Abode Techzone LLC

Lead Databricks Engineer

Iselin, NJ · Hybrid

$104K - $137K/yr

We are seeking highly skilled Azure Data Engineer with strong expertise in Databricks to join our data team. The ideal candidate will design, implement and optimize large-scale data pipeline ...

Abode Techzone LLC

Lead Databricks Engineer

Iselin, NJ · Hybrid

$104K - $137K/yr

We are seeking highly skilled Azure Data Engineer with strong expertise in Databricks to join our data team. The ideal candidate will design, implement and optimize large-scale data pipeline ...

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All JobsAzure Data Engineer Intern JobsAzure Data Engineer Intern Jobs in Secaucus, NJ

Azure Data Engineer Intern information

See Secaucus, NJ salary details

$13

$25

$39

How much do azure data engineer intern jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for azure data engineer intern in Secaucus, NJ is $25.84, according to ZipRecruiter salary data. Most workers in this role earn between $21.01 and $29.33 per hour, depending on experience, location, and employer.

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

AspectAzure Data Engineer InternData Engineer
Required CredentialsBasic knowledge of Azure, SQL, and data fundamentals; often pursuing related degreesAdvanced certifications like Azure Data Engineer Associate, relevant experience
Work EnvironmentInternship setting, learning-focused, Azure cloud platformFull-time professional role, managing data pipelines and architecture
Employer & Industry UsageTech companies, startups, or enterprises using Azure cloudOrganizations across industries with data infrastructure needs
Search & Comparison IntentEntry-level, learning about Azure data rolesProfessional data management and engineering tasks

The Azure Data Engineer Intern role is an entry-level position focused on learning Azure data tools and gaining practical experience. In contrast, a Data Engineer is a full-time professional responsible for designing, building, and maintaining data pipelines and infrastructure. The internship provides foundational knowledge, while the Data Engineer role requires more advanced skills and certifications.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer Intern, and why are they important?

To thrive as an Azure Data Engineer Intern, you need a solid understanding of data modeling, SQL, and basic cloud computing concepts, typically supported by coursework in computer science or data engineering. Familiarity with Azure services like Azure Data Factory, Azure SQL Database, and tools such as Power BI or Python is highly beneficial. Strong analytical thinking, attention to detail, and effective communication enhance your ability to manage data pipelines and collaborate with team members. These skills and qualities are vital for building efficient data solutions and contributing to real-world business insights using cloud-based technologies.

What does an Azure Data Engineer Intern do?

An Azure Data Engineer Intern assists in designing, building, and maintaining data solutions using Microsoft Azure services. Their responsibilities typically include helping with data integration, transformation, and storage tasks, as well as supporting data pipelines and analytics platforms in the cloud. Interns often work alongside experienced data engineers to learn best practices in data modeling, ETL processes, and use of Azure tools such as Azure Data Factory, Azure Databricks, and Azure SQL Database. They may also contribute to troubleshooting data issues and optimizing performance to ensure reliable data delivery.

What types of projects and responsibilities can I expect as an Azure Data Engineer Intern?

As an Azure Data Engineer Intern, you can expect to work on projects involving data integration, transformation, and storage using Microsoft Azure services such as Azure Data Factory, Azure SQL Database, and Azure Databricks. Your daily tasks may include assisting with data pipeline development, supporting data migration initiatives, and collaborating with senior engineers to optimize data workflows. You'll likely participate in team meetings, work closely with data analysts and software developers, and contribute to troubleshooting and improving data solutions. This role offers hands-on experience with cloud-based data engineering tools and an opportunity to learn best practices in a collaborative, fast-paced environment.
What are the most commonly searched types of Azure Data Engineer jobs in Secaucus, NJ? The most popular types of Azure Data Engineer jobs in Secaucus, NJ are:
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Azure Data Engineer Intern jobs near you
Infographic showing various Azure Data Engineer Intern job openings in Secaucus, NJ as of June 2026, with employment types broken down into 88% Full Time, and 12% Part Time. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $53,749 per year, or $25.8 per hour.

Data Engineer

MedReview

Manhattan, NY • Remote

$105K - $115K/yr

Full-time

Re-posted 2 days ago

Job description

Position Summary: 
MedReview Innovation and Development team is seeking a data engineer to function as the primary architect and operator of our data infrastructure. Your mission is to evolve our current environment into a rapid-acquisition engine capable of feeding real-time ML models, innovation, and operations while maintaining rigorous healthcare compliance standards.
Responsibilities:
  • Pipeline Architecture: Design, implement, and maintain end-to-end data pipelines on Azure, ensuring high availability and low latency for healthcare claim and analytics processing.
  • High-Performance Storage: Manage and optimize ClickHouse as our primary analytical engine, focusing on rapid data ingestion and lightning-fast query performance for large-scale datasets.
  • ML Data Readiness: Structure data environments to support the full ML lifecycle, from feature engineering and training to real-time model inference.
  • MLOps Integration: Collaborate with Data Scientists to implement automated CI/CD pipelines for model deployment, monitoring, and retraining.
  • Rapid Acquisition: Develop scalable frameworks to ingest diverse healthcare data sources (EDI, claims, clinical notes) with high velocity.
  • Security & Compliance: Ensure all data structures and processes adhere to HITRUST/HIPAA standards, collaborating with IT and the leads for technical efforts for HITRUST certification readiness.
Required Skills & Experience
  • Cloud Expertise: 5+ years of experience in data engineering, with deep proficiency in Azure Data Factory, Azure Databricks, or Azure Synapse.
  • OLAP Mastery: Proven experience managing and tuning ClickHouse (or similar columnar databases like Druid/Pinot) for massive datasets.
  • Programming: Expert-level Python and SQL skills.
  • ML Engineering: Familiarity with ML frameworks (PyTorch, TensorFlow) and MLOps tools (MLflow, Kubeflow, or Azure Machine Learning).
  • Healthcare Domain: Prior experience with healthcare data formats (HL7, FHIR, 835/837) and a strong understanding of HITRUST/HIPAA security requirements.
  • Scale-up Mindset: Ability to build "v1" processes while designing for 10x growth.
Preferred Qualifications:
  • Experience with Infrastructure as Code (Terraform, Bicep).
  • Knowledge of stream processing (Kafka, Azure Event Hubs).
  • Background in financial or payment integrity analytics.

Salary: 105,000 - 115,000

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