Data Engineer, WW Pricing - Data & Analytics
Company websiteamazon.com (Amazon, opens in new tab)
Base salary $132,100 to $178,800
Employer-published annual base salary, USD. Advertised base range in Seattle, WA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSeattle, WA
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (5 h ago) · observed since
About this job
WW Pricing drives the success of Amazon Retail and 3P Pricing. We build software that makes billions of monthly pricing recommendations on our marketplaces. We earn our customers' trust by consistently delivering the lowest prices possible: we price and publish prices automatically for the millions of products bought worldwide every day by our customers.
You will be joining WW Pricing Data & Analytics team which consists of several Data Engineers and Business Intelligence Engineers.
As a Data Engineer, you will create data models and ML data infrastructure that power our pricing algorithms and shape both customer and seller experiences. You'll develop essential data flows that keep our systems running smoothly while uncovering valuable insights that drive customer and seller success. You'll be developing GenAI based solutions to improve the operational and reporting efficiency.
This job is for you if you are passionate about working with the largest and most complex data to optimize service performance. You will own the models and processes for collecting and transforming data, and work within the Pricing software engineering teams to drive the resulting business initiatives. You will learn the customer's intentions, and support us in understanding them as we take our business to the next level.
Key job responsibilities
- Architecture design and implementation of next generation data pipelines and BI solutions
- Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.
- Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
Basic Qualifications
- 3+ years of data engineering experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
- 3+ years of in the job offered or a related occupation experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) processes experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
- Experience with data modeling, warehousing and building ETL pipelines
Preferred Qualifications
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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, Seattle - 132,100.00 - 178,800.00 USD annually
Source: Amazon · View original posting (opens in new tab)
Pay in context
This role's base floor ($132,100) is above 11% of the 330 Data & ML roles in Washington listed on this site; 21 others list the same floor. Their median floor is $143,700; the middle half runs from $136,000 to $168,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingData Engineer, WW Pricing - Data & Analytics$132,100 to $178,800
Sr. Innovation & Design Engineer, Prime Air Drone Delivery Operations$132,100 to $178,800
Data Engineer II, Ring/Blink Customer Service Engineering and Insights$132,100 to $178,800
Senior Packaging Designer, Packaging Innovation, Amazon Robotics, Packaging Design & Innovation$132,100 to $178,800
Sr. Innovation & Design Engineer, Worldwide Design Engineering$132,100 to $178,800
Senior Industrial Designer, Worldwide Grocery Stores (WWGS) Design$132,100 to $178,800
Data Engineer II, Eva Trust Dev Team$132,100 to $178,800
Chart as a table
| Role | Published base |
|---|---|
| Data Engineer, WW Pricing - Data & Analytics (this listing) | $132,100 - $178,800 |
| Sr. Innovation & Design Engineer, Prime Air Drone Delivery Operations | $132,100 - $178,800 |
| Data Engineer II, Ring/Blink Customer Service Engineering and Insights | $132,100 - $178,800 |
| Senior Packaging Designer, Packaging Innovation, Amazon Robotics, Packaging Design & Innovation | $132,100 - $178,800 |
| Sr. Innovation & Design Engineer, Worldwide Design Engineering | $132,100 - $178,800 |
| Senior Industrial Designer, Worldwide Grocery Stores (WWGS) Design | $132,100 - $178,800 |
| Data Engineer II, Eva Trust Dev Team | $132,100 - $178,800 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-11-05
Where this pay comes from
Location as the employer wrote it: US, WA, Seattle
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.