Sr Data Engineer Deal Tooling and Insights Strategic Customer Engagements
Sr Data Engineer Deal Tooling and Insights Strategic Customer Engagements
Posted on :
07-04-2025
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1 Vacancy
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Yearly Salary
$ 139100 - 240500
Vacancy
1 Vacancy
Posted on :
07-04-2025
Job Description
Are you passionate about leveraging data to deliver actionable insights that impact the daily business decisions of AWS Do you want to have an impact on making strategic deals come to life
If so we are looking for a Sr. Data Engineer to join the Strategic Customer Engagements team to develop a scalable data analytics platform. The Strategic Customer Engagements Deal Team works with our customers on commercial private pricing opportunities to meet their desired business outcomes while ensuring alignment with AWS business objectives.
In this role you will be responsible for endtoend development of data engineering solutions from the ground up. You should have expertise in the creation and management of datasets and the proven ability to translate data into meaningful insights through collaboration with Product Managers Business Intelligence Engineers (BIEs) and business partners. You should be passionate about designing scalable analytics solutions for a fastgrowing business.
The right candidate will possess excellent business and communication skills be able to work with business owners to develop and define key business questions and be able to collaborate with Product Managers BIEs and Data Scientists to extract data that will answer those questions. You should have a solid understanding of how to build efficient and scalable data infrastructure and data models.
Key job responsibilities
Design implement and support an analytical data infrastructure providing access to large datasets and computing power.
Develop the endtoend automation of data pipelines making datasets readilyconsumable by product and engineering teams.
Manage AWS resources including EC2 S3 Glue RDS Redshift etc.
Optimize data engineering systems for performance cost reliability recoverability and security.
Automate data quality monitoring testing and validation processes.
Act as the subject matter expert for the data structure and usage.
Interface with other technology teams to extract transform and load data from a wide variety of data sources using SQL and AWS big data technologies.
Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency.
Collaborate with Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation.
Help continually improve ongoing reporting and analysis processes automating or simplifying selfservice support for customers.
Support designing and analyzing statistical tests (e.g. A/B tests) and applying statistical methods to inform datadriven decisions.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
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 and 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.
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 with big data technologies such as: Hadoop Hive Spark EMR
Experience operating large data warehouses
Strong version control practices using Git
CI/CD pipeline development and maintenance
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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/howwehire/accommodations 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 https://www.aboutamazon/workplace/employeebenefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
If so we are looking for a Sr. Data Engineer to join the Strategic Customer Engagements team to develop a scalable data analytics platform. The Strategic Customer Engagements Deal Team works with our customers on commercial private pricing opportunities to meet their desired business outcomes while ensuring alignment with AWS business objectives.
In this role you will be responsible for endtoend development of data engineering solutions from the ground up. You should have expertise in the creation and management of datasets and the proven ability to translate data into meaningful insights through collaboration with Product Managers Business Intelligence Engineers (BIEs) and business partners. You should be passionate about designing scalable analytics solutions for a fastgrowing business.
The right candidate will possess excellent business and communication skills be able to work with business owners to develop and define key business questions and be able to collaborate with Product Managers BIEs and Data Scientists to extract data that will answer those questions. You should have a solid understanding of how to build efficient and scalable data infrastructure and data models.
Key job responsibilities
Design implement and support an analytical data infrastructure providing access to large datasets and computing power.
Develop the endtoend automation of data pipelines making datasets readilyconsumable by product and engineering teams.
Manage AWS resources including EC2 S3 Glue RDS Redshift etc.
Optimize data engineering systems for performance cost reliability recoverability and security.
Automate data quality monitoring testing and validation processes.
Act as the subject matter expert for the data structure and usage.
Interface with other technology teams to extract transform and load data from a wide variety of data sources using SQL and AWS big data technologies.
Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency.
Collaborate with Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: data integrity test design analysis validation and documentation.
Help continually improve ongoing reporting and analysis processes automating or simplifying selfservice support for customers.
Support designing and analyzing statistical tests (e.g. A/B tests) and applying statistical methods to inform datadriven decisions.
About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
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 and 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.
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 with big data technologies such as: Hadoop Hive Spark EMR
Experience operating large data warehouses
Strong version control practices using Git
CI/CD pipeline development and maintenance
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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/howwehire/accommodations 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 https://www.aboutamazon/workplace/employeebenefits. 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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