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Data Engineer Internship Amazon Jobs in Hackensack, NJ

Tiger Analytics Inc.

Senior Data Engineer

Jersey City, NJ · On-site

$110K - $150K/yr

We are seeking an experienced Data Engineer to join our data team. In this role, you will be ... Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc. * Implement data processing and ...

Optimum

Intern - Data Engineer

Long Island City, NY

$35/hr

Our team is comprised of Sales Executives, Software Engineers, Data Analysts, Ad Operations ... internships, preferred * Experience scripting and deploying ETL jobs, cron jobs and code changes ...

Pwc

Data Engineer - Manager

Florham Park, NJ

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Pwc

Data Engineer - Manager

New York, NY

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Byteware Inc.

Healthcare Data Architect

Manhattan, NY · On-site

$70.25 - $90.50/hr

... teams, analytics teams, data engineering, vendors, security, compliance, and operational ... · Amazon EMR · AWS Lambda · AWS SageMaker · Amazon Bedrock Experience with Snowflake ...

United Airlines

Senior Data Engineer

Manhattan, NY · On-site

$85K - $95K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Amazon Kinesis, SQS, and Kafka (preferred) Migrate data from traditional relational database ... Developer Certification preferred Good understanding of Lakehouse/data cloud architecture ...

Capital One

Lead Data Engineer

New York, NY

$125K - $150K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 4 years of experience in application development (Internship experience does not apply)

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Data Engineer Internship Amazon information

See Hackensack, NJ salary details

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How much do data engineer internship amazon jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for data engineer internship amazon in Hackensack, NJ is $27.72, according to ZipRecruiter salary data. Most workers in this role earn between $22.55 and $31.44 per hour, depending on experience, location, and employer.

What does a data engineer intern do at Amazon?

A Data Engineer Intern at Amazon works on designing, building, and maintaining scalable data pipelines and systems to support business analytics and decision-making. Interns typically collaborate with experienced data engineers and other team members to process large datasets, ensure data quality, and optimize performance. They may also help automate data collection, transformation, and storage processes, gaining hands-on experience with Amazon's cloud technologies and big data tools. The internship offers an opportunity to develop technical skills in databases, programming, and data modeling in a real-world, fast-paced environment.

What types of projects and technologies do data engineer interns at Amazon typically work with?

As a Data Engineer Intern at Amazon, you can expect to work on projects involving large-scale data pipelines, data warehousing, and analytics solutions. Interns often gain hands-on experience with Amazon Web Services (AWS) tools such as Redshift, S3, and Glue, as well as programming languages like Python and SQL. You'll collaborate closely with software engineers, data scientists, and business analysts to design and optimize data systems that support Amazon's business operations. This role provides a strong foundation in both the technical and collaborative aspects of data engineering, offering ample learning opportunities in a fast-paced, innovative environment.

What is the difference between Data Engineer Internship Amazon vs Data Analyst Internship Amazon?

AspectData Engineer Internship AmazonData Analyst Internship Amazon
Required SkillsSQL, Python, ETL, data modelingSQL, Excel, data visualization tools
Work EnvironmentData pipelines, backend systems, cloud platformsData reporting, dashboards, business insights
Industry UsageTech, e-commerce, cloud servicesBusiness, marketing, finance

Both internships are common in Amazon's data teams but focus on different aspects. Data Engineer Internships involve building and maintaining data infrastructure, while Data Analyst Internships focus on analyzing data to generate insights. Candidates should choose based on their technical skills and career interests.

What are the key skills and qualifications needed to thrive as a data engineer intern at Amazon?

To thrive as a Data Engineer Intern at Amazon, you need a solid understanding of data structures, algorithms, and proficiency in programming languages such as Python, Java, or Scala, often supported by progress towards a degree in computer science or a related field. Familiarity with SQL, cloud platforms (especially AWS), and big data tools like Hadoop or Spark is typically required. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate and adapt in a fast-paced environment. These skills and qualities are crucial to efficiently manage data pipelines, contribute to impactful projects, and succeed within Amazon’s data-driven culture.

What are popular job titles related to Data Engineer Internship Amazon jobs in Hackensack, NJ?

For Data Engineer Internship Amazon jobs in Hackensack, NJ, the most frequently searched job titles are:

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The top searched job categories for Data Engineer Internship Amazon jobs in Hackensack, NJ are:

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Cities near Hackensack, NJ with the most Data Engineer Internship Amazon job openings:

Data Engineer Internship Amazon jobs near you
Infographic showing various Data Engineer Internship Amazon job openings in Hackensack, NJ as of August 2026, with employment types broken down into 20% Internship, 20% Full Time, and 60% Part Time. Highlights an 100% In-person job distribution, with an average salary of $57,659 per year, or $27.7 per hour.

Senior Data Engineer

Tiger Analytics Inc.

Jersey City, NJ

$110K - $150K/yr

Full-time

Re-posted 7 days ago

Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer to join our data team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines, data integration processes, and data infrastructure on AWS cloud. You will collaborate closely with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives across the organization.

Requirements

Key Responsibilities

  • Design, develop, and deploy end-to-end data pipelines on AWS cloud infrastructure using services such as Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, etc.
  • Implement data processing and transformation workflows using Databricks, Apache Spark, and SQL to support analytics, reporting, and AI-driven use cases.
  • Build and maintain orchestration workflows using Apache Airflow to automate data pipeline execution, scheduling, and monitoring.
  • Support data preparation and ingestion for AI/ML and Generative AI workloads, including handling structured and unstructured datasets.
  • Enable data pipelines that support LLM-based applications, vector embeddings, and knowledge retrieval systems.
  • Lead the migration of legacy data systems to modern cloud-based data architectures.
  • Develop and maintain CI/CD pipelines for data workflows and platform automation.
  • Collaborate with data scientists, ML engineers, and AI teams to ensure data availability for model training, inference, and GenAI applications.
  • Optimize data pipelines for performance, reliability, scalability, and cost-effectiveness using AWS best practices.

Required Skills

  • 8+ years experience as a Data Engineer working with AWS cloud services.
  • Hands-on experience with AWS services such as S3, Glue, Lambda, Redshift, and related data platform tools.
  • Experience building data pipelines using Databricks, Apache Spark, and SQL.
  • Experience with Apache Airflow for workflow orchestration.
  • Strong understanding of data modeling, data lake/lakehouse architectures, and ETL/ELT frameworks.
  • Experience with CI/CD pipelines and version control systems (Git).
  • Exposure to Generative AI or LLM-based applications.
  • Experience supporting data pipelines for AI/ML workloads.
  • Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG) architectures.
  • Experience working with LLM APIs or AI frameworks such as LangChain.
  • Understanding of MLOps workflows and model deployment pipelines.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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