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Temporary Amazon Data Engineer Jobs in Texas (NOW HIRING)

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX

$113K - $136K/yr

Join the OTS Data ANCHOR team to build strategic data infrastructure powering Amazon's Operations ... temporary employment. The benefits that generally apply to regular, full-time employees include ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX

$113K - $136K/yr

Join the OTS Data ANCHOR team to build strategic data infrastructure powering Amazon's Operations ... temporary employment. The benefits that generally apply to regular, full-time employees include ...

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 ... temporary employment. The benefits that generally apply to regular, full-time employees include ...

Amazon

Sr. SysDev Eng, OTS - Data ANCHOR Team

Austin, TX

$113K - $136K/yr

Amazon's Ops Tech Solutions (OTS) Data ANCHOR organization is seeking a Sr Systems Development Engineer with an AI/Solutions Architect mindset to join our solutions development, Decision Intelligence ...

Amazon

Sr. SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

Amazon's Ops Tech Solutions (OTS) Data ANCHOR organization is seeking a Sr. Systems Development Engineer with an AI/Solutions Architect mindset to join our solutions development, Decision ...

Amazon

Sr. SysDev Eng, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

Amazon's Ops Tech Solutions (OTS) Data ANCHOR organization is seeking a Sr Systems Development Engineer with an AI/Solutions Architect mindset to join our solutions development, Decision Intelligence ...

Ruri Software Technologies LLC

Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

Data Engineer Location:Dallas ,TX Candidate who has significant experience in building data lakes ... Hands on experience in Amazon services such as S3,Lambda, ECS, Glue, Kinesis, Appflow, Datasync ...

Tiger Analytics

Lead Data Engineer - AWS

Dallas, TX · On-site

$113K - $136K/yr

... Engineer to join their team. The role focuses on building scalable Generative AI architectures ... Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale ...

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Temporary Amazon Data Engineer information

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 and big data tools may earn higher salaries, often exceeding $160,000. Compensation can also include bonuses and stock options.

Does Amazon have temporary jobs?

Amazon offers temporary jobs, including roles such as data engineers, which are often project-based or seasonal. These positions may require specific skills like data management and familiarity with cloud tools, and they typically have flexible schedules depending on the role and business needs.

What engineer makes $500,000 a year?

Senior data engineers or specialized software engineers with extensive experience, advanced skills in cloud platforms, and certifications can earn $500,000 or more annually, especially in high-demand industries or companies. Such roles often involve leadership responsibilities, complex data architecture, and working with large-scale systems.

Will Amazon pay you $28 an hour to work from home?

The pay rate for a Temporary Amazon Data Engineer can vary based on location, experience, and project requirements. While some data engineering roles at Amazon may offer around $28 an hour, actual compensation depends on the specific position and employment terms. Remote data engineering jobs often require skills in SQL, Python, and cloud platforms like AWS.

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.

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 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 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 are the most commonly searched types of Amazon Data Engineer jobs in Texas? The most popular types of Amazon Data Engineer jobs in Texas are:
What are popular job titles related to Temporary Amazon Data Engineer jobs in Texas? For Temporary Amazon Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Temporary Amazon Data Engineer jobs in Texas look for? The top searched job categories for Temporary Amazon Data Engineer jobs in Texas are:
What cities in Texas are hiring for Temporary Amazon Data Engineer jobs? Cities in Texas with the most Temporary Amazon Data Engineer job openings:
Temporary Amazon Data Engineer jobs near you
Data Engineer II, OTS - Data ANCHOR Team

Data Engineer II, OTS - Data ANCHOR Team

Amazon

Austin, TX

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,021 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

Join the OTS Data ANCHOR 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 AI/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 collaborate with Solution Architects, Data Engineers, Applied Scientists, and BIEs to deliver data products that drive measurable business outcomes. You will contribute to Data Ops and AI intelligent data practices - including data versioning, pipeline monitoring, and model retraining data support - and help establish engineering best practices within the team. 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.
- Collaborate 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 and their children

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:
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 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

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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