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

Data Engineer

New York, NY · On-site

$125K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

Data Engineer

Manhattan, NY

$90K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

Azure Databricks

Manhattan, NY · On-site

$80 - $90/hr

Data Engineer - Azure Databricks (Corporate Vertical Developer) We are seeking an experienced Data Engineer - Azure Databricks (Corporate Vertical Developer) to support multiple corporate business ...

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 ...

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 ...

Data Engineer - Manager

Florham Park, NJ

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

Data Engineer - Manager

New York, NY · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... 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 ...

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 ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Location: Remote Project Duration: 6-12 months Responsibilities: * Analysis, design ... Strong data warehousing experience with Azure, Databricks, and Snowflake. * Demonstrated strength ...

Data Engineer

Short Hills, NJ

$124K - $149K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Databricks Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Databricks Data Engineer We are seeking an experienced Databricks Data Engineer to design, develop ... Integrate Databricks with cloud platforms such as Azure, AWS, or Google Cloud Platform and data ...

Showing results 21-40

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 17, 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 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 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:

What are popular job titles related to Azure Data Engineer Intern jobs in Secaucus, NJ?

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

What job categories do people searching Azure Data Engineer Intern jobs in Secaucus, NJ look for?

The top searched job categories for Azure Data Engineer Intern jobs in Secaucus, NJ are:

What cities near Secaucus, NJ are hiring for Azure Data Engineer Intern jobs?

Cities near Secaucus, NJ with the most Azure Data Engineer Intern job openings:

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.

$125K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

283rd of 449 rated engineering


Job description

Description
Your role at GEI.
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.
Essential Responsibilities & Duties
  • Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
  • Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
  • Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
  • Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
  • Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.
  • Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.
  • Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
  • Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
  • Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams.

Minimum Qualifications
  • 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
  • Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
  • Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
  • Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
  • Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
  • Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
  • Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
  • Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
  • Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
  • Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
  • Prior experience in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus.

We are GEI.
Some of the world's most pressing problems - from climate change to sustainable development, to critical infrastructure and the future of our energy supply - need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients' most complex challenges.
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here .
Employee-owned. Employee-focused.
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more. Our company culture is driven by our 4 Cs - we are Client-Centered, Curious, Collaborative, and Community Minded - which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI's career site here .
GEI's Total Rewards Package Includes
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $90,000.00 - $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here )
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More...

PHYSICAL REQUIREMENTS
WORK ENVIRONMENT
Functional Demands:
Sedentary
x
Light
Medium
Other
Activity Level Throughout Workday (check one per row)
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
x
Standing
x
Walking
x
Climbing
x
Lifting (floor to waist level) (in pounds)
x
Lifting (waist level and above) (in pounds)
x
Carrying objects
x
Push/pull
x
Twisting
x
Bending
x
Reaching forward
x
Reaching overhead
x
Squat/kneel/crawl
x
Wrist position deviation
x
Pinching/fine motor skills
x
Keyboard use/repetitive motion
x
Taste or smell (taste=never)
x
Talk or hear
x
Accurate 20/40
Very Accurate 20/20
Not Applicable
Near Vision
x
Far Vision
x
Yes
No
Not Applicable
Color Discrimination
Sensory Requirements
Minimal
Moderate
Accurate
Not Applicable
Depth perception
x
Hearing
x
Environment Requirements
Occupational Exposure Risk Potential
Reasonably Anticipated
Not Anticipated
Blood borne pathogens
x
Chemical
x
Airborne communicable diseases
x
Extreme temperatures
x
Radiation
x
Uneven surfaces or elevations
x
Extreme noise levels
x
Dust/particulate matter
x
Other (exposure risks):
Usual workday hours :
x
8
10
12
Other work hours
GEI is an AA/equal opportunity employer, including disabled and veterans.

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