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Seasonal Amazon Data Engineer Jobs (NOW HIRING)

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 ...

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 seasonal or temporary employment. The benefits that generally apply to regular, full-time ...

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 ...

Amazon

Controls Engineer, Amazon Data Services, Inc

Dublin, OH · On-site

$80K - $104K/yr

... Data Center Engineering Operations, with a deep understanding of electrical and mechanical data ... Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran ...

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 ...

Amazon

Data Center Civil Engineer

Columbus, OH · On-site

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 ...

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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 9, 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.

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.

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.

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, OIS/CXI Analytics

Data Engineer, OIS/CXI Analytics

Amazon

Austin, TX • On-site

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,828 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Join the OIS/CXI Analytics team to build strategic data infrastructure powering Amazon's Operations Technology ecosystem. Our team provides critical data infrastructure support for OpsTech IT, supporting Amazon's global customer commitment. You'll work at the intersection of large-scale data processing and real-world operational impact - creating intelligence that directly influences how Amazon fulfills millions of orders across fulfillment centers, Amazon Fresh, Prime Now, Lockers, Pantry, and Amazon Campus.


As a Data Engineer, you will build and maintain scalable data pipelines and ML-ready data infrastructure that power AI-driven operational insights and Data Science initiatives across Amazon's global fulfillment and maintenance networks. You will design and implement ETL/ELT pipelines, build feature engineering workflows, and partner with ML Engineers, Data Scientists, Applied Scientists, and BIEs to deliver data products that drive measurable business outcomes. You will contribute to MLOps data practices - including data versioning, pipeline monitoring, and model retraining data support - and help establish engineering best practices within the team.

You will support Data Science teams by building curated, analysis-ready models and datasets and enabling self-service data access through well-governed data infrastructure. This role directly enables the team's mission to implement GenAI solutions for automated reporting, diagnostics, and predictive and prescriptive analytics across worldwide operations.
This is a high-impact individual contributor role with significant opportunity to grow technical scope and organizational influence at the intersection of data engineering, Data Science, and AI.


Key job responsibilities
- Design, build, and maintain production-grade ETL/ELT pipelines and big data infrastructure supporting OTS operational intelligence.
- Build feature engineering workflows and ML-ready data pipelines that support Data Science experimentation and production model serving.
- Contribute to data governance and quality standards across analytical and ML data products.
- Support implementation of GenAI solutions for automated reporting, diagnostic, predictive, and prescriptive analytics.
- Build and maintain semantic layers and dashboard data models that power worldwide operations business decisions.
- Partner with Program Managers, BI teams, ML Engineers, Data Scientists, and operational stakeholders to prioritize work aligned with OTS business goals.
- Follow and contribute to best practices for data engineering, including code reviews, testing, monitoring, and documentation.
A day in the life
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1

Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4.

401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you. At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!.

What Amazon employees say

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Benefits

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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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