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Data Engineer , PXT EXR-Ops Tech

Amazon.com Services LLC, Bellevue, Washington

Posted pay

$101K–$160K

a year

Location: Bellevue, Washington
Work type: Not given
Level: Not given
Experience: 1+ years
Skills in the job text: Python
SQL
Spark
Hadoop
Scala
Posted: Sep 9, 2026
Last check: 6 h ago
Job type: Data engineering

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Overview

Do you love building data pipelines? Are you excited by the opportunity to design tools and infrastructure needed to analyze large volumes of data? Do you want to help solve big data warehousing problems, and partner with stakeholders to understand how to best design and implement data solutions that provide answers to key business questions?

At Amazon, we hire the best minds in technology to innovate on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Data engineers use technology to solve complex problems and get to see the impact of their work first-hand.

The challenges data engineers solve for at Amazon are big and impact millions of customers, sellers, and products around the world. Our path is not always simple, so we are selective about who joins us on this journey. There is a certain kind of person who takes on this role at Amazon – someone who is excited by the idea of creating new products, features, and services from scratch while managing ambiguity and the pace of a company whose ship cycles are measured in weeks, not years.

A key focus of this role involves harnessing the power of Generative AI to optimize data source discovery and pipeline development, building intelligent agents to help Business Intelligence Engineers and Scientists identify emerging opportunities, creating self-service capabilities for stakeholders, and developing AI-integrated data platforms. We seek curious minds who think big and want to define tomorrow. Join us in creating solutions that change the world.

1+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Experience with one or more scripting language (e.g., Python, KornShell)
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Bellevue – 101,300.00 - 160,000.00 USD annually

Legal notes

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Read the job posting on the Amazon.com Services LLC site

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Source: amazon.jobs. We last checked this job 6 h ago. We first saw it 4 days ago. A job on a job board does not always mean that the team interviews people now.

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Compared with similar jobs

This base pay is below the median for data engineering jobs in other US places with no level in the job title.

Median: $155K a year
Other jobs in the group: 177

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.