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Job Details
Posted date: Jun 16, 2025
There have been 119 jobs posted with the title of Sr. Data Engineer all time at Amazon.There have been 119 Sr. Data Engineer jobs posted in the last month.
Location: Seattle, WA
Estimated salary: $189,800
Range: $139,100 - $240,500
Description
Are you looking for a role where you have the opportunity to shape Amazon’s Pricing and Promotions using data, analytics, and insights? If so, our role in Amazon's Pricing & Promotions Science, Data, and Insights organization is for you.Amazon's Pricing & Promotions Science, Data, and Insights organization is seeking a highly engineering-drive Senior Data Engineer. In this role, you will develop, build, and deliver automated data engineering infrastructure, which will deliver the best prices and experiences to our customers. Data is at the core of Amazon’s culture, and your work will have a direct impact on decision making and strategy for the Pricing and Promotions organization.
This role requires a self-starting leader with high judgment that thrives in ambiguity. We are looking for a person with broad and deep data engineering skills, that is customer and delivery-focused, and a has a track record of earning your customers and peer’s trust. To be successful in this role, you will need strong cloud and data engineering skills as well as an entrepreneurial mindset.
Key job responsibilities
- Lead data engineering for your business and its customers.
- Develop, build, and deliver data engineering infrastructure and its operations.
- Conducting deep dive analyses and tuning of our engineering infrastructure and cloud architecture.
- Leverage LLMs to drive customer improvements and operations efficiencies.
- Producing written documentation for your team in code and in narrative format.
- Continuously invent, simplify, and automate your products, tools, services, and methodologies.
- Improving back-end data sources for increased accuracy and simplicity.
- Recognizing and adopting best practices in data engineering.
Qualifications
- 5+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
Extended Qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience operating large data warehouses
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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