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Temporary Amazon Data Engineer Jobs (NOW HIRING)

Data Engineer

San Francisco, CA · On-site

$134.90K - $162K/yr

About the Role As a data engineer in the Data Platform organization, you will be transforming ... Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final ...

Data Engineer

Suitland, MD

$123.30K - $148.10K/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 ...

Data Engineer II, Amazon Leo Commerce

Redmond, WA · On-site

$128.20K - $154K/yr

Amazon Leo is an initiative to increase global broadband access through a constellation of 3,236 ... This role is for a Data Engineer who will design, build, and maintain components and services of ...

As a Data Center Civil Engineer at AWS, you will lead Civil Engineering designs for Amazon Data ... Amazon's Data Centers are industry leading examples of innovation in the areas of space utilization ...

As a Data Center Civil Engineer at AWS, you will lead Civil Engineering designs for Amazon Data ... Amazon's Data Centers are industry leading examples of innovation in the areas of space utilization ...

As a Data Center Civil Engineer at AWS, you will lead Civil Engineering designs for Amazon Data ... Amazon's Data Centers are industry leading examples of innovation in the areas of space utilization ...

As a Data Center Civil Engineer at AWS, you will lead Civil Engineering designs for Amazon Data ... Amazon's Data Centers are industry leading examples of innovation in the areas of space utilization ...

As a Data Center Civil Engineer at AWS, you will lead Civil Engineering designs for Amazon Data ... Amazon's Data Centers are industry leading examples of innovation in the areas of space utilization ...

As a Data Center Civil Engineer at AWS, you will lead Civil Engineering designs for Amazon Data ... Amazon's Data Centers are industry leading examples of innovation in the areas of space utilization ...

Data Engineer

Suitland, MD · On-site

$123.40K - $148.20K/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 ...

Data Engineer II , UTR Data Engineering

Bellevue, WA · On-site

$129.20K - $155.20K/yr

Our pipelines feed the planning systems that determine how Amazon staffs its delivery network ... We are hiring a Data Engineer to own significant portions of our data architecture, drive the ...

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Temporary Amazon Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do temporary amazon data engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for temporary amazon data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Temporary Amazon Data Engineer, and why are they important?

To thrive as a Temporary Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, typically supported by a degree in computer science or a related field. Familiarity with Amazon Web Services (AWS) data tools like Redshift, S3, Glue, and ETL pipelines, as well as relevant certifications like AWS Certified Data Analytics, is highly valuable. Excellent problem-solving skills, adaptability, and effective communication are crucial soft skills for collaborating on short-term projects and delivering timely results. These skills and qualifications ensure efficient data solutions, seamless integration with Amazon's platforms, and the ability to meet dynamic business needs in a fast-paced environment.

What are some common challenges Temporary Amazon Data Engineers face when onboarding to new projects?

Temporary Amazon Data Engineers often encounter challenges such as quickly adapting to existing data infrastructure, understanding proprietary tools and processes, and integrating with teams that may already have established workflows. Since the role is time-limited, it’s crucial to rapidly build relationships with stakeholders and clarify project goals early on. Proactive communication and leveraging available documentation can help overcome these hurdles, ensuring a smoother transition and effective project delivery.

What does a Temporary Amazon Data Engineer do?

A Temporary Amazon Data Engineer is responsible for designing, building, and maintaining data pipelines and systems within Amazon on a short-term or contract basis. They work with large datasets, ensure data quality, and collaborate with other teams to support analytics and business intelligence initiatives. Their role includes tasks such as data extraction, transformation, and loading (ETL), as well as troubleshooting data issues and optimizing data workflows. Although the position is temporary, it often requires strong technical skills in SQL, Python, and cloud services like AWS. The work helps Amazon make data-driven decisions and improve its services.

What is the difference between Temporary Amazon Data Engineer vs Temporary Google Data Engineer?

AspectTemporary Amazon Data EngineerTemporary Google Data Engineer
Required CredentialsBachelor's in CS, Data Engineering certifications, AWS knowledgeBachelor's in CS, Data Engineering certifications, GCP knowledge
Work EnvironmentAmazon's cloud infrastructure, e-commerce, and logisticsGoogle Cloud Platform, advertising, and tech services
Employer & Industry UsageAmazon, retail, logistics, cloud servicesGoogle, tech, advertising, cloud services
Search & Comparison IntentHigh overlap in cloud data roles, certifications, and industrySimilar roles in cloud data engineering, but with different platform focus

Temporary Amazon Data Engineers and Temporary Google Data Engineers share similar skills, certifications, and work environments focused on cloud data platforms. The main difference lies in the cloud platform expertise—AWS for Amazon and GCP for Google—making each role suited to specific employer ecosystems and industry applications.

More about Temporary Amazon Data Engineer jobs
What cities are hiring for Temporary Amazon Data Engineer jobs? Cities with the most Temporary Amazon Data Engineer job openings:
What are the most commonly searched types of Amazon Data Engineer jobs? The most popular types of Amazon Data Engineer jobs are:
What states have the most Temporary Amazon Data Engineer jobs? States with the most job openings for Temporary Amazon Data Engineer jobs include:
Data Engineer I, Amazon Publisher Monetization, Analytics

Data Engineer I, Amazon Publisher Monetization, Analytics

Amazon

Seattle, WA

$130.30K - $156.50K/yr

Full-time

Posted 21 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,788 frontline employees who took The Breakroom Quiz

7th 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).


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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