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Azure Data Engineer Intern Jobs in Suffern, NY (NOW HIRING)

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data ... Experience with cloud platforms (e.g., AWS, Google Cloud, Azure). Good to have hands on programming ...

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data ... Experience with cloud platforms (e.g., AWS, Google Cloud, Azure). Good to have hands on programming ...

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 with relational, graph and/or unstructured data technologies such as SQL Server, Azure ...

Kanak Elite Services Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Location: NYC, NY & Alpharetta, GA (Locals preferred & can submit from nearby ... GCP/Azure) * - NoSQL databases Expert (12+ years) Mandatory Skills: * - Big Data architecture ...

Forhyre

Data Engineer

New York, NY

$125K - $150K/yr

Python/Pyspark & Azure, ADF, SQL, SQL Server, Data Warehousing, ETL Secondary: Databricks Nice to ... Document component design for developers and for broader communication. * Understand and adopt an ...

Sidram Technologies

AI DATA ENGINEER

New York, NY · On-site

$125K - $150K/yr

AI DATA ENGINEER Client: Altimetrik / S&P Global Location: Princeton, NJ & NYC, NY - HYBRID ... Generative AI / RAG / Fine-Tuning LangChain / HuggingFace Azure ML / AWS SageMaker / Google Vertex ...

New

L3HHCM20

Senior Associate, Data Architect

Clifton, NJ · On-site

$84K - $156K/yr

Experience with Microsoft Fabric, Azure Data Factory, or Azure Blob Storage for data engineering and pipeline orchestration * Knowledge of data governance concepts and familiarity with Microsoft ...

Argyllinfotech

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Work location: New York City, NY (Hybrid, 3 days in a week) In-person Interview is ... Advanced proficiency in Python, SQL Server, Snowflake, Azure Databricks, and PySpark. * Strong ...

KPMG US

Data Engineer- Manager

Montvale, NJ · On-site

$119K - $143K/yr

... Azure AI Search and a strong understanding of how data integrates into AI agent workflows • Strong, independent programming skills in Python and significant experience with microservice ...

KPMG US

Data Engineer- Manager

Montvale, NJ · On-site

$119K - $143K/yr

... Azure AI Search and a strong understanding of how data integrates into AI agent workflows • Strong, independent programming skills in Python and significant experience with microservice ...

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All JobsAzure Data Engineer Intern JobsAzure Data Engineer Intern Jobs in Suffern, NY

Azure Data Engineer Intern information

See Suffern, NY salary details

$13

$25

$39

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

As of Sep 8, 2026, the average hourly pay for azure data engineer intern in Suffern, NY is $25.95, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $29.47 per hour, depending on experience, location, and employer.

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 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 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 job categories do people searching Azure Data Engineer Intern jobs in Suffern, NY look for?

The top searched job categories for Azure Data Engineer Intern jobs in Suffern, NY are:

What cities near Suffern, NY are hiring for Azure Data Engineer Intern jobs?

Cities near Suffern, NY with the most Azure Data Engineer Intern job openings:

Azure Data Engineer Intern jobs near you

Data Engineer and Agentic AI Lead

Garan, Incorporated

New York, NY • On-site

$150K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric components.

  • Implement and manage Medallion architecture to ensure data quality, governance, and usability.

  • Oversee creation and management of datasets, data models, and data solutions to support analytics and AI initiatives.

Job description

Overview

We are seeking a Microsoft Fabric Data Engineer with Agentic AI experience to design, build, and maintain scalable data solutions within the Microsoft Fabric ecosystem. This role is responsible for developing robust data pipelines, implementing Medallion architecture (Bronze, Silver, Gold layers), and ensuring high-quality, analytics-ready datasets.

The ideal candidate will have hands-on experience with Microsoft Fabric components (Data Factory, OneLake, Lakehouse, Warehouse, and Power BI), strong data engineering fundamentals, and the ability to support advanced analytics and AI initiatives.

Key Responsibilities

  • Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric (Data Factory, Pipelines, Notebooks)
  • Implement and manage Medallion architecture (Bronze, Silver, Gold layers) to ensure data quality, governance, and usability
  • Ingest, transform, and integrate data from multiple structured and unstructured sources
  • Optimize data workflows for performance, scalability, and cost efficiency
  • Build and maintain Lakehouse and Data Warehouse solutions within Fabric
  • Ensure data reliability through monitoring, logging, and error-handling mechanisms
  • Collaborate with stakeholders to translate business requirements into scalable data solutions
  • Enforce data governance, security, and compliance best practices
  • Document data models, pipelines, and system architecture
  • Contribute to roadmap planning and platform evolution

Database & Power BI Oversight

  • Design enterprise-grade data models optimized for Power BI and analytics workloads
  • Oversee creation and management of semantic models and datasets within Fabric
  • Oversee dataset performance, refresh strategies, and capacity management in Power BI
  • Implement data modeling best practices (star schema, normalization where appropriate)
  • Support development of dashboards and reports by providing curated, high-quality datasets
  • Manage access control, row-level security (RLS), and data lineage visibility
  • Manage Power BI capacity, dataset refresh strategies, and scalability considerations
  • Collaborate with BI developers to optimize DAX performance and reporting efficiency
  • Monitor usage and adoption metrics to improve data accessibility and usability

AI Readiness & Advanced Analytics

  • Prepare and structure data to support AI/ML use cases within Microsoft Fabric and Azure ecosystem
  • Enable feature engineering by delivering clean, enriched, and well-governed datasets
  • Support integration with AI tools such as Azure Machine Learning, Fabric Data Science, and Copilot experiences
  • Implement data pipelines that support real-time or near real-time analytics where needed.
  • Ensure datasets are scalable and aligned with AI model training requirements.
  • Promote best practices for data versioning, reproducibility, and experimentation.

Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field.
  • 7+ years of experience in data engineering or related roles.
  • Hands-on experience with Microsoft Fabric or closely related tools (Azure Synapse, Azure Data Factory, Power BI).
  • Strong expertise in Medallion architecture and modern data lake/lakehouse patterns.
  • Proven experience building and maintaining data pipelines (ETL/ELT).
  • Proficiency in SQL, Python, and/or Spark.
  • Experience with Lakehouse architectures and distributed data processing.
  • Strong understanding of data modeling and data warehousing concepts.

Desired Skills & Competencies

  • Experience with OneLake, Delta Lake, and Fabric-native workloads.
  • Experience with Data Agents, Copilot Studio and Microsoft Foundry
  • Familiarity with CI/CD pipelines for data solutions.
  • Power BI adoption and user satisfaction across business units.
  • Delivery of AI-ready datasets and agentic AI pilot outcomes
  • Security compliance and incident prevention

Key Competencies

  • Strong problem-solving and analytical thinking
  • Attention to detail and data quality focus
  • Ability to work cross-functionally with technical and business teams
  • Excellent communication and documentation skills
  • Continuous learning mindset in evolving data and AI technologies

Performance Metrics

  • Data integrity and availability across all departments
  • System uptime and query performance
  • Power BI adoption and user satisfaction across business units
  • Reduction in time-to-action based on data insights
  • Successful onboarding and reliability of third-party integrations
  • Delivery of AI-ready datasets and agentic AI pilot outcomes
  • Security compliance and incident prevention
  • Adoption of best practices as informed by industry trends

This role is essential for Garan Apparel's enterprise data transformation, integrating Azure and Microsoft Fabric with best practices in data, security, AI readiness, and team collaboration-while ensuring that every user, from executive to analyst, can understand, trust, and act on data with confidence.

Salary: $150,000

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