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Data Engineer Internship Amazon Jobs (NOW HIRING)

Seven Seven Software

Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

... data applications on AWS for large enterprises * Programming experience with Python, Shell ... Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred)

Amazon

Data Engineer II, AAE

Bellevue, WA · On-site

$129K - $155K/yr

AWS AI Services is one of the largest and fastest-growing business units within AWS, powering services like Amazon Bedrock, AgentCore, QuickSight, Q Business, Kendra, and Kiro. Our Data Engineering ...

Onebridge

Data Engineer

Lawrence Township, NJ · On-site

$127K - $152K/yr

Data Engineer | About You As a Data Engineer, you are responsible for building, validating, and ... Experience working with enterprise data platforms such as Teradata, Amazon Redshift, and Amazon ...

Amazon

Data Engineer II, AAE

Bellevue, WA

$129K - $155K/yr

AWS AI Services is one of the largest and fastest-growing business units within AWS, powering services like Amazon Bedrock, AgentCore, QuickSight, Q Business, Kendra, and Kiro. Our Data Engineering ...

Seven Seven Software

Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

... using Amazon Kinesis, SQS, and Kafka (preferred) • Migrate data from traditional relational ... as Data engineer • Experience developing business applications using SQL databases. • ...

Onebridge

Data Engineer

Lawrence, NJ · On-site

$122K - $146K/yr

Data Engineer | About You As a Data Engineer, you are responsible for building, validating, and ... Experience working with enterprise data platforms such as Teradata, Amazon Redshift, and Amazon ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer

Manhattan, NY · On-site

$125K - $151K/yr

Amazon S3 * AWS Lake Formation * Spark, Athena * Python * Amazon NeptuneDB * Terraform Important ... Data Engineer New York City, NY Responsibilities Required daily participation in highly loaded data ...

Amazon

Data Engineer II, AAE

Bellevue, WA · On-site

$129K - $155K/yr

AWS AI Services is one of the largest and fastest-growing business units within AWS, powering services like Amazon Bedrock, AgentCore, QuickSight, Q Business, Kendra, and Kiro. Our Data Engineering ...

Bigbear.ai

Data Engineer

Washington, DC

$109K - $146K/yr

Integrate data pipelines with Amazon Web Services (AWS) , leveraging services such as S3, Lambda ... Bachelor's degree in computer science, Engineering, Information Systems, or a related field * 4-8 ...

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Amazon Redshift, Google BigQuery, Snowflake) * Experience with Python, SQL, Spark, and PySpark ... Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi

1 point system

Ex Amazon Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Experience: 3+ years of data engineering experience, including data modeling, pipeline development, and data warehouse design, along with 3+ years of non-internship professional software development ...

Stifel

Data Engineer III

Memphis, TN

$119K - $143K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Tror AI for everyone

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Job Location: New York (100% onsite) (need local to NY or near by locations) Job Type ... Skilled in AWS services such as Amazon EMR, Redshift, and Glue for efficient data processing.

Amazon

Data Engineer, Partner Experience

Seattle, WA · On-site

$130K - $156K/yr

... Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime ... PCF Data fulfills the data and analytics needs for the PCF organization by building scalable data ...

Stifel

Data Engineer III

Saint Louis, MO · On-site

$111K - $133K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Stifel

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Stifel

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data ...

Amazon

Data Engineer II, ISF Central Tech Team

Seattle, WA · On-site

$130K - $156K/yr

... Data Engineer to design and build complex ETL pipelines and analytics solutions that power data ... across Amazon's rapidly growing international business. You will lead the technical design ...

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Data Engineer Internship Amazon information

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

As of Jun 22, 2026, the average hourly pay for data engineer internship amazon in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 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, and why are they important?

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.
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Data Engineer Internship Amazon jobs near you
Infographic showing various Data Engineer Internship Amazon job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Data Engineer

Seven Seven Software

Newark, NJ • On-site

$119K - $143K/yr

Full-time

Posted 27 days ago

Job description

Qualifications:
  • Bachelor's degree in computer science, Software Engineering, MIS or equivalent combination of education and experience
  • Experience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprises
  • Programming experience with Python, Shell scripting and SQL
  • Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc.
  • Solid experience implementing solutions on AWS based data lakes.
  • Should have good experience with AWS Services - API Gateway, Lambda, Step Functions, SQS, DynamoDB, S3, Elasticsearch
  • Serverless application development using AWS Lambda
  • Experience in AWS data lake/data warehouse/business analytics
  • Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS
  • Knowledge of ETL/ELT
  • End-to-end data solutions (ingest, storage, integration, processing, access) on AWS
  • Architect and implement CI/CD strategy for EDP
  • Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred)
  • Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift
  • Migrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift
  • Implement POCs on any new technology or tools to be implemented on EDP and onboard for real use-case
  • AWS Solutions Architect or AWS Developer Certification preferred
  • Good understanding of Lakehouse/data cloud architecture

Responsibilities:
  • Designing, building and maintaining efficient, reusable, and reliable architecture and code.
  • Build reliable and robust Data ingestion pipelines (within AWS, onprem to AWS ,etc.)
  • Ensure the best possible performance and quality of high scale data engineering project
  • Participate in the architecture and system design discussions
  • Independently perform hands on development and unit testing of the applications.
  • Collaborate with the development team and build individual components into complex enterprise web systems.
  • Work in a team environment with product, production operation, QE/QA and cross functional teams to deliver a project throughout the whole software development cycle.
  • Responsible to identify and resolve any performance issues
  • Keep up to date with new technology development and implementation
  • Participate in code review to make sure standards and best practices are met.

Job Requirements
Qualifications:
  • Bachelor's degree in computer science, Software Engineering, MIS or equivalent combination of education and experience
  • Experience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprises
  • Programming experience with Python, Shell scripting and SQL
  • Solid experience of AWS services such as CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc.
  • Solid experience implementing solutions on AWS based data lakes.
  • Should have good experience with AWS Services - API Gateway, Lambda, Step Functions, SQS, DynamoDB, S3, Elasticsearch
  • Serverless application development using AWS Lambda
  • Experience in AWS data lake/data warehouse/business analytics
  • Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS
  • Knowledge of ETL/ELT
  • End-to-end data solutions (ingest, storage, integration, processing, access) on AWS
  • Architect and implement CI/CD strategy for EDP
  • Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred)
  • Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift
  • Migrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift
  • Implement POCs on any new technology or tools to be implemented on EDP and onboard for real use-case
  • AWS Solutions Architect or AWS Developer Certification preferred
  • Good understanding of Lakehouse/data cloud architecture

Responsibilities:
  • Designing, building and maintaining efficient, reusable, and reliable architecture and code.
  • Build reliable and robust Data ingestion pipelines (within AWS, onprem to AWS ,etc.)
  • Ensure the best possible performance and quality of high scale data engineering project
  • Participate in the architecture and system design discussions
  • Independently perform hands on development and unit testing of the applications.
  • Collaborate with the development team and build individual components into complex enterprise web systems.
  • Work in a team environment with product, production operation, QE/QA and cross functional teams to deliver a project throughout the whole software development cycle.
  • Responsible to identify and resolve any performance issues
  • Keep up to date with new technology development and implementation
  • Participate in code review to make sure standards and best practices are met.

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