Sr Data Engineer, P2 Science, Data, and Insights
Sr Data Engineer, P2 Science, Data, and Insights
Posted on :
18-06-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Amazons Pricing & Promotions Science Data and Insights organization is seeking a highly skilled Senior Data Engineer to help develop/build data solutions. As a technical leader you will own the evolution of our data platform establishing best practices exploring and experimenting with new technologies and driving efficiency across multiple teams. Equally important you will nurture your passion for mentoring the next generation of data engineers and producing a culture of continuous learning and innovation. You will dive into the challenge of building an ML infrastructure and establish ML feature store collaborating with fellow software engineers. You will work to establish foundational building blocks that will seamlessly integrate with cutting-edge GenAI solutions ensuring our partners have access to self-serve actionable insights.
Key job responsibilities
- Designing implementing and maintaining a cutting-edge cloud-based data infrastructure to support our large and complex data sets ensuring high performance availability and integrity
- Developing and optimizing robust ETL pipelines with comprehensive monitoring alarming and data quality controls to seamlessly integrate diverse data sources
- Driving the adoption of emerging technologies such as generative AI and advocating for the latest data management best practices to elevate our capabilities
- Building and scaling an analytical data infrastructure that provides self-service access to data and computing power for our business stakeholders
- Collaborating cross-functionally to develop and deploy advanced analytics algorithms that uncover valuable insights from our rich data sets and translating them into impactful business solutions
- Manage AWS resources including exploring and learning the latest AWS technologies to provide new capabilities and increase efficiency
- Mentoring junior data engineers and fostering a culture of continuous learning and innovation
About the team
The Pricing and Promotions Sciences strive to accelerate Customer Seller and overall Amazon success through the proactive development of automated intelligent pricing and promotions science systems and the facilitation of trustworthy data-driven decision making at scale. We look around corners for both long-term and short-term flywheel causal impacts and think holistically from sourcing to CX and all customer journey touch points in between
- 6 years of data engineering database engineering business intelligence or business analytics experience
- Experience with SQL
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience communicating with users other technical teams and management to collect requirements describe data modeling decisions and data engineering strategy
- Experience mentoring team members on best practices
- Experience operating large data warehouses
- Strong Experience with data modeling warehousing and building ETL pipelines
- Bachelors Degree
- Experience with big data technologies such as: Hadoop Hive Spark EMR
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 for more information. If the country/region youre applying in isnt 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 $139100/year in our lowest geographic market up to $240500/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
- Designing implementing and maintaining a cutting-edge cloud-based data infrastructure to support our large and complex data sets ensuring high performance availability and integrity
- Developing and optimizing robust ETL pipelines with comprehensive monitoring alarming and data quality controls to seamlessly integrate diverse data sources
- Driving the adoption of emerging technologies such as generative AI and advocating for the latest data management best practices to elevate our capabilities
- Building and scaling an analytical data infrastructure that provides self-service access to data and computing power for our business stakeholders
- Collaborating cross-functionally to develop and deploy advanced analytics algorithms that uncover valuable insights from our rich data sets and translating them into impactful business solutions
- Manage AWS resources including exploring and learning the latest AWS technologies to provide new capabilities and increase efficiency
- Mentoring junior data engineers and fostering a culture of continuous learning and innovation
About the team
The Pricing and Promotions Sciences strive to accelerate Customer Seller and overall Amazon success through the proactive development of automated intelligent pricing and promotions science systems and the facilitation of trustworthy data-driven decision making at scale. We look around corners for both long-term and short-term flywheel causal impacts and think holistically from sourcing to CX and all customer journey touch points in between
- 6 years of data engineering database engineering business intelligence or business analytics experience
- Experience with SQL
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience communicating with users other technical teams and management to collect requirements describe data modeling decisions and data engineering strategy
- Experience mentoring team members on best practices
- Experience operating large data warehouses
- Strong Experience with data modeling warehousing and building ETL pipelines
- Bachelors Degree
- Experience with big data technologies such as: Hadoop Hive Spark EMR
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 for more information. If the country/region youre applying in isnt 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 $139100/year in our lowest geographic market up to $240500/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Required Experience:
Senior IC
Employment Type
Full-Time
Department / Functional Area
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
