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Seasonal Amazon Data Engineer Jobs (NOW HIRING)

Amazon

Data Engineer, Amazon Ads

New York, NY

$125K - $150K/yr

... Data Engineer who brings: - Deep SQL fluency and 5+ years architecting and operating production ETL on Redshift, Andes, or equivalent at scale - Hands-on depth with the Amazon data stack - Datanet ...

Amazon

Data Engineer, Amazon Ads

New York, NY

$125K - $150K/yr

... Data Engineer who brings: - Deep SQL fluency and 5+ years architecting and operating production ETL on Redshift, Andes, or equivalent at scale - Hands-on depth with the Amazon data stack - Datanet ...

Amazon

Data Engineer, Amazon Ads

New York, NY · On-site

$125K - $150K/yr

... Data Engineer who brings: - Deep SQL fluency and 5+ years architecting and operating production ETL on Redshift, Andes, or equivalent at scale - Hands-on depth with the Amazon data stack - Datanet ...

Amazon

Data Engineer II- AMZ26497.1

Seattle, WA · On-site

$144K - $178K/yr

Amazon Data Services, Inc. Position: Data Engineer II Location: Seattle, WA Multiple Positions Available: Design, develop, implement, test, document, and operate large-scale, high-volume, high ...

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 ...

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

$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

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

Saint Louis, MO

$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

Saint Louis, MO

$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 ...

Amazon

Data Engineer, OIS/CXI Analytics

Austin, TX · On-site

$113K - $136K/yr

Join the OIS/CXI Analytics team to build strategic data infrastructure powering Amazon's Operations ... as seasonal or temporary employment. The benefits that generally apply to regular, full-time ...

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Seasonal Amazon Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Jun 14, 2026, the average yearly pay for seasonal 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 Seasonal Amazon Data Engineer, and why are they important?

To thrive as a Seasonal Amazon Data Engineer, you need strong programming skills (typically in Python, Java, or Scala), expertise in data modeling, and a bachelor's degree in computer science or a related field. Familiarity with AWS data services (like Redshift, S3, and Glue), ETL tools, and proficiency in SQL are typically required. Analytical thinking, problem-solving, and effective teamwork are essential soft skills that enhance performance in this role. These skills and qualities are crucial for efficiently designing, building, and maintaining scalable data solutions to support Amazon’s business needs during peak periods.

Is seasonal at Amazon worth it?

A seasonal Amazon Data Engineer role can provide valuable experience and flexible scheduling during peak periods, but it is typically temporary with limited benefits and lower pay compared to full-time positions. The role may be suitable for gaining industry exposure or supplementing income but may not offer long-term career growth or stability.

Is Amazon layoff 30,000 employees?

There have been reports of Amazon planning to lay off around 30,000 employees, primarily in corporate and technology roles, as part of restructuring efforts. For a Seasonal Amazon Data Engineer, such layoffs are not directly related to seasonal hiring or typical employment conditions, but it is important to stay informed about company updates and job security trends.

What does a Seasonal Amazon Data Engineer do?

A Seasonal Amazon Data Engineer is responsible for designing, building, and maintaining data pipelines and infrastructure during peak business periods, typically to support increased demand such as during holidays. They help ensure that Amazon's data systems can efficiently handle large volumes of data, perform data extraction, transformation, and loading (ETL), and support analytics for business decision-making. Seasonal roles are temporary and focus on specific projects or timeframes, making adaptability and rapid onboarding important skills for this position.

How much does Amazon pay for seasonal work?

Amazon pays seasonal data engineers an hourly wage that typically ranges from $30 to $50, depending on experience and location. These roles often require familiarity with data processing tools and may include benefits such as overtime pay and flexible schedules.

What are some common challenges faced by Seasonal Amazon Data Engineers, and how can they be managed effectively?

Seasonal Amazon Data Engineers often face challenges such as quickly adapting to fast-paced project timelines and integrating into established teams during peak periods. It can be demanding to familiarize oneself with Amazon's large-scale data systems and proprietary tools in a short time. Proactive communication, asking questions early, and leveraging onboarding resources can help you acclimate quickly. Collaboration with permanent team members and taking initiative in learning new technologies will further aid in navigating these challenges and contributing effectively.

How much do Amazon data engineers make?

Amazon data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill level. Senior roles or those with expertise in cloud platforms like AWS may have higher salaries, often exceeding $160,000.

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

AspectSeasonal Amazon Data EngineerAmazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Analytics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, large-scale data systemsData interpretation, reporting, business insights
Employer & Industry UsageAmazon, e-commerce, logistics, cloud servicesAmazon, retail, marketing, customer insights

Seasonal Amazon Data Engineers focus on building and maintaining data pipelines during peak seasons, requiring technical skills in data engineering. In contrast, Amazon Data Analysts interpret data to generate insights, often working on reports and dashboards. Both roles are essential during high-demand periods but differ in technical depth and focus.

What cities are hiring for Seasonal Amazon Data Engineer jobs? Cities with the most Seasonal 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 Seasonal Amazon Data Engineer jobs? States with the most job openings for Seasonal Amazon Data Engineer jobs include:
Seasonal Amazon Data Engineer jobs near you
Data Engineer, Amazon Ads

Data Engineer, Amazon Ads

Amazon

New York, NY

$125K - $150K/yr

Full-time

Posted 10 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,847 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

This is a ground-up, greenfield build - Finance for one of Amazon Ads' newest bets in the agentic space. No legacy pipelines, no inherited dashboards, no pattern to follow. If you're energized by shaping data infrastructure from zero to one inside a fast-moving org, keep reading.
What we're building:
- A finance data platform powering the FAIM org (Full-Funnel Agentic Intelligence & Models) - the team building the next generation of agentic AI advertising products
- Pipelines and models that turn raw data into decisions for greenfield products
- Self-service reporting that scales spanning Engineering, Science, PM-T, and Design across multiple AI native advertising products
This is a startup team within Amazon Ads Finance with an ambitious vision and the runway to build it right the first time.
We're looking for a senior Data Engineer who brings:
- Deep SQL fluency and 5+ years architecting and operating production ETL on Redshift, Andes, or equivalent at scale
- Hands-on depth with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and QuickSight (SPICE)
- Strong dimensional data modeling judgment - fact/dim design, SCDs, and the experience to make the right denormalization, partitioning, and lifecycle calls without supervision
- Python (or equivalent) for orchestration, data quality automation, and pipeline tooling beyond SQL
- A willingness to set the bar - define data quality, lineage, SLA, and reliability standards for the org and hold the line on them
- The ability to operate in ambiguity - turn open-ended finance and program questions into durable data products with minimal scoping help
- Excitement about leading the data partnership with Finance Managers, PM-Ts, Scientists, and Engineering, and mentoring more junior engineers as the team grows
- AI-native experience for automation and defect/opportunity identification using tools such as Kiro, Claude Code, or equivalent
Key job responsibilities
- Own it end-to-end - set the technical direction for the FAIM data warehouse, ETL pipelines, and reporting layer
- Build the tools - architect and operate Datanet/ETLM jobs, Cradle profiles, Andes datasets, and dashboards that finance partners trust as source of truth
- Land the data - integrate telemetry from across Amazon's data ecosystem (Andes subscriptions, EDX, S3, internal services) into a clean, query-ready layer
- Move fast - deliver on OP1/OP2 cycles, MBR/QBR rhythms, and ad-hoc executive asks with bias for action
- Simplify complexity - turn messy, multi-source data into well-documented dimensional models that scale with the org
- Raise the bar - drive code and design reviews and set data quality and pipeline reliability standards

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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