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Data Engineer Internship Amazon Jobs (NOW HIRING)

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Amazon Redshift, or BigQuery. * Big Data Processing : Leverage frameworks like Apache Spark ...

Computer Task Group, Inc

AWS Data Engineer

Armonk, NY

$123K - $147K/yr

Amazon Redshift and Redshift Spectrum * Amazon RDS * Amazon DynamoDB * AWS Lambda * AWS Step ... data engineering experience. * Hands-on experience developing enterprise AWS data platforms.

Computer Task Group, Inc

AWS Data Engineer

Armonk, NY · On-site

$123K - $147K/yr

Amazon Redshift and Redshift Spectrum * Amazon RDS * Amazon DynamoDB * AWS Lambda * AWS Step ... data engineering experience. * Hands-on experience developing enterprise AWS data platforms.

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123K - $148K/yr

They are seeking a skilled Data Engineer to design, build, and maintain data infrastructure ... Amazon Redshift, or BigQuery. • Leverage frameworks like Apache Spark, Databricks, or Apache ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

Join the OTS Data ANCHOR team to build strategic data infrastructure powering Amazon's Operations ... As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

Join the OTS Data ANCHOR team to build strategic data infrastructure powering Amazon's Operations ... As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

Join the OTS Data ANCHOR team to build strategic data infrastructure powering Amazon's Operations ... As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data ...

Amazon

Data Engineer, SPTC

Seattle, WA · On-site

$130K - $156K/yr

Amazon's growth requires leaders who move fast, have an entrepreneurial spirit to create new ... They know and love working with data engineering tools, can model multidimensional datasets, and ...

Amazon

Data Engineer II , GTMO DATA

Seattle, WA · On-site

$130K - $156K/yr

At Amazon Business, a fast-growing startup passionate about building solutions, we set out every ... Amazon Business Team is looking for a Data Engineer (DE) to play a significant role in building a ...

Computer Task Group, Inc

AWS Data Engineer

Armonk, NY · On-site

$123K - $147K/yr

Amazon Redshift and Redshift Spectrum * Amazon RDS * Amazon DynamoDB * AWS Lambda * AWS Step ... data engineering experience. * Hands-on experience developing enterprise AWS data platforms.

Amazon

Data Engineer III - AMZ9899641

New York, NY · On-site

$170K - $230K/yr

AMAZON ADVERTISING LLC Offered Position: Data Engineer III Job Location: New York, New York Job Number: AMZ9899641 Position Responsibilities: Design, develop, implement, test, document, and operate ...

Accenture Federal Services

Data Engineer

Suitland, MD

$123K - $148K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... Familiarity with machine learning workflows and experience implementing MLOps tools (e.g., Amazon ...

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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 Jul 14, 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 July 2026, with employment types broken down into 1% Locum Tenens, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Data Engineer I, Amazon Publisher Monetization, Analytics

Data Engineer I, Amazon Publisher Monetization, Analytics

Amazon

Seattle, WA

$130K - $156K/yr

Full-time

Re-posted 5 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,965 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

The Amazon Publisher Monetization (APM) team is shaping the future of monetization for Amazon's advertising-supported publishers (e.g., Prime Video, Twitch, Fire TV, Amazon Stores, Audio). Our mission is to build Earth's most customer-centric advertising services.
Driving long-term growth for our ad-supported media services requires striking a balance between providing an experience customers will love and creating products that advertisers want to buy (brand safe, relevant audience, etc.). The data foundations that power these decisions - pipelines, models, quality frameworks - are what make trusted insights possible at scale

We're looking for a Data Engineer to build and operate these foundations across APM's publisher portfolio, ensuring that every insight delivered to business teams is grounded in reliable, well-modeled data.
Key job responsibilities
- Design, build, and optimize data models and end-to-end data pipelines across APM's publisher data leveraging AWS services (such as Redshift, EMR, Airflow, Kinesis, Lambda) and internal Amazon tools
- Implement and test data solutions within a unified modeling framework that serves both human analysts and AI-powered analytics tools
- Measure and improve data quality across the datasets you own - investigating anomalies, troubleshooting pipeline issues, and ensuring reliability
- Collaborate with business stakeholders to understand data requirements and translate them into trusted, well-modeled data products
- Improve existing solutions and contribute to next-generation APM data architecture to improve scale, quality, timeliness, coverage, monitoring, and security
- Work alongside other data engineers, business intelligence engineers, and scientists to support business decisions across APM
A day in the life
You'll build data products that feed both human analysts and AI-powered analytics agents, leverage LLMs and generative AI tools to accelerate your own development workflows, and help move the team from manual pipeline operations toward automated, self-healing data infrastructure. You'll work across two tracks: building scalable data infrastructure, and partnering with business teams to understand what decisions they need to make and delivering the data products that enable them. You may lean toward one track more than the other, and that's great - we're looking for someone with strong fundamentals who can contribute meaningfully in either direction.
About the team
The APM Agentic Insights team builds scalable intelligence that delivers fast, accurate, and actionable insights across Amazon Publisher Monetization (APM).

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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