Senior Data Engineer, AWS Specialist and Partner Organization
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
4 days ago
Vacancies:
1 Vacancy
Department:
Job Summary
AWS is one of Amazons largest and fastest growing businesses serving millions of customers in more than 190 countries. We use cloud computing to reshape the way global enterprises use information technology. We are looking for entrepreneurial analytical creative flexible leaders to help us redefine the information technology industry. If you want to join a fast-paced innovative team that is making history this is the place for you.
The ASP Data Engineering Team supports the data needs of the AWS Specialist and Partner Organization a worldwide team of specialists and partners helping customers transform their businesses through AWSs Core GenAI and Partner services and solutions.
Key job responsibilities
The successful candidate will be an expert with SQL ETL (and general data wrangling) with experience leveraging cloud-based data services such as AWS EMR Glue Firehose Lambda and similar technologies and have exemplary communication skills. The candidate should have hands-on experience with AI/ML technologies including large language models (LLMs) and a strong understanding of designing and building Agentic Frameworks including autonomous agents multi-agent orchestration tool integration and retrieval-augmented generation (RAG) pipelines. The candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment and able to think big while paying careful attention to detail. The candidate will be passionate about working with huge data sets leveraging AI-driven approaches to unlock insights and someone who loves to bring data together to answer business questions and drive growth.
About the team
About AWS
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 employee-led 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 knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life 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.
AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
- 5 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience in writing complex highly-optimized SQL queries across large datasets
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience operating large data warehouses
- Experience delivering results for large cross-functional initiatives/projects
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Experience with AI/ML technologies including Agentic Frameworks autonomous agents multi-agent orchestration tool integration and RAG pipelines
- Experience driving technical vision and roadmap for data platforms and infrastructure
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.
Pursuant to the San Francisco 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.
The ASP Data Engineering Team supports the data needs of the AWS Specialist and Partner Organization a worldwide team of specialists and partners helping customers transform their businesses through AWSs Core GenAI and Partner services and solutions.
Key job responsibilities
The successful candidate will be an expert with SQL ETL (and general data wrangling) with experience leveraging cloud-based data services such as AWS EMR Glue Firehose Lambda and similar technologies and have exemplary communication skills. The candidate should have hands-on experience with AI/ML technologies including large language models (LLMs) and a strong understanding of designing and building Agentic Frameworks including autonomous agents multi-agent orchestration tool integration and retrieval-augmented generation (RAG) pipelines. The candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment and able to think big while paying careful attention to detail. The candidate will be passionate about working with huge data sets leveraging AI-driven approaches to unlock insights and someone who loves to bring data together to answer business questions and drive growth.
About the team
About AWS
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 employee-led 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 knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life 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.
AWS Sales Marketing and Global Services (SMGS) is responsible for driving revenue adoption and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.
- 5 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience in writing complex highly-optimized SQL queries across large datasets
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience operating large data warehouses
- Experience delivering results for large cross-functional initiatives/projects
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Experience with AI/ML technologies including Agentic Frameworks autonomous agents multi-agent orchestration tool integration and RAG pipelines
- Experience driving technical vision and roadmap for data platforms and infrastructure
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.
Pursuant to the San Francisco 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.
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 CA Mountain View - 177800.00 - 240500.00 USD annually
USA CA San Francisco - 177800.00 - 240500.00 USD annually
USA NY New York - 170000.00 - 230000.00 USD annually
USA TX Austin - 154600.00 - 209100.00 USD annually
USA TX Dallas - 154600.00 - 209100.00 USD annually
USA WA Seattle - 154600.00 - 209100.00 USD annually
Required Experience:
Senior IC
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