Senior Data Engineer, 3PX Private Pricing - Analytics & Insights
Senior Data Engineer, 3PX Private Pricing - Analytics & Insights
Posted on :
05-05-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 139100 - 240500
Vacancy
1 Vacancy
Posted on :
05-05-2025
Job Description
Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in providing secure reliable scalable and innovative services that help over a million businesses governments education and not for profits across the globe scale and grow! AWS provides a wide set of scalable services to meet customer needs.
The AWS Global Deal Strategy and Programs (GDSP) organization is responsible for the Private Pricing Program. The Private Pricing Analytics and Insights (PPA&I) team owns building scalable analytical solutions that enable the GDSP organization with actionable insights to make datadriven decisions. This role will focus on Data Engineering and Analytics related to the Private Pricing Program requiring deep technical skills strong business acumen and a deep analytical background to provide actionable datadriven insights and decision support.
As a Senior Data Engineer on this team you will drive efficiency in data handling processes setup product analytics drive advanced analysis and build new metrics which are key inputs to improve the health scale and growth of the Private Pricing Program. You will work collaboratively with the business leaders (including the VP of Private Pricing) operations and engineering teams on many nonstandard and unique business problems and support business initiatives by collecting required and related data from external/internal sources.
The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects E2E from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a selfstarter comfortable with ambiguity able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture not just code. You proactively work to improve the consistency and integration between your teams BI solutions and any related systems or artifacts.
Key job responsibilities
Owning the design development and maintenance of scalable solutions for ongoing metrics reports analyses dashboards etc. to support analytical and business needs
Interface with other technology teams to extract transform and load data from a wide variety of data sources using AWS services and internal tools
Build and deliver high quality data sets to support data scientists and customer reporting needs.
Continually improve ongoing reporting and analysis processes automating or simplifying selfservice support for customers
Translate basic business problem statements into analysis requirements.
Use analytical and statistical rigor to answer business questions and drive business decisions.
Find and create ways to measure the customer experience to drive business outcomes.
Develop queries and visualizations for adhoc requests and projects as well as ongoing reporting.
Write queries and output efficiently and have indepth knowledge of the available in area of expertise. Pull the needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert to make it analysisready.
Recognize and adopt best practices in reporting and analysis: integrity design analysis validation and documentation.
Troubleshoot operational quality issues.
Review and audit existing jobs and queries.
Recommending improvements to backend sources for increased accuracy and simplicity.
About the team
Diverse Experiences:
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture:
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth:
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance:
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
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
Experience operating large data warehouses
Experience developing deploying and managing production data pipelines in AWS
Experience deploying and managing machine learning models deployed into production
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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.
The AWS Global Deal Strategy and Programs (GDSP) organization is responsible for the Private Pricing Program. The Private Pricing Analytics and Insights (PPA&I) team owns building scalable analytical solutions that enable the GDSP organization with actionable insights to make datadriven decisions. This role will focus on Data Engineering and Analytics related to the Private Pricing Program requiring deep technical skills strong business acumen and a deep analytical background to provide actionable datadriven insights and decision support.
As a Senior Data Engineer on this team you will drive efficiency in data handling processes setup product analytics drive advanced analysis and build new metrics which are key inputs to improve the health scale and growth of the Private Pricing Program. You will work collaboratively with the business leaders (including the VP of Private Pricing) operations and engineering teams on many nonstandard and unique business problems and support business initiatives by collecting required and related data from external/internal sources.
The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects E2E from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a selfstarter comfortable with ambiguity able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture not just code. You proactively work to improve the consistency and integration between your teams BI solutions and any related systems or artifacts.
Key job responsibilities
Owning the design development and maintenance of scalable solutions for ongoing metrics reports analyses dashboards etc. to support analytical and business needs
Interface with other technology teams to extract transform and load data from a wide variety of data sources using AWS services and internal tools
Build and deliver high quality data sets to support data scientists and customer reporting needs.
Continually improve ongoing reporting and analysis processes automating or simplifying selfservice support for customers
Translate basic business problem statements into analysis requirements.
Use analytical and statistical rigor to answer business questions and drive business decisions.
Find and create ways to measure the customer experience to drive business outcomes.
Develop queries and visualizations for adhoc requests and projects as well as ongoing reporting.
Write queries and output efficiently and have indepth knowledge of the available in area of expertise. Pull the needed with standard query syntax; periodically identify more advanced methods of query optimization. Convert to make it analysisready.
Recognize and adopt best practices in reporting and analysis: integrity design analysis validation and documentation.
Troubleshoot operational quality issues.
Review and audit existing jobs and queries.
Recommending improvements to backend sources for increased accuracy and simplicity.
About the team
Diverse Experiences:
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture:
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth:
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work/Life Balance:
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
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
Experience operating large data warehouses
Experience developing deploying and managing production data pipelines in AWS
Experience deploying and managing machine learning models deployed into production
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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
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