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Job Details
Posted date: Jun 23, 2025
There have been 126 jobs posted with the title of Data Engineer all time at Amazon.There have been 126 Data Engineer jobs posted in the last month.
Location: Seattle, WA
Estimated salary: $138,100
Range: $91,200 - $185,000
Description
Amazon Web Services has been the world's most comprehensive and broadly adopted cloud platform. AWS offers over 100 fully featured services to millions of active customers around the world—including the fastest-growing startups, largest enterprises, and leading government agencies—to power their infrastructure. Business Product & Operations (BPO) is a diverse team that supports infrastructure and other foundational initiatives that span and support Sales, Marketing, and Global Services Operations teams within AWS. We are looking for a hands-on Data Engineer with experience developing and delivering data platforms as we build the next iteration of our data-driven ecosystem, with a focus on enhancing and expanding our Phoenix data product. Come join a team at the forefront of transforming how AWS does business with its key customers.As a Data Engineer in AWS, you will partner with cross-functional teams, including Business Intelligence Engineers, Analysts, Software Developers, and Product Managers, to develop scalable and maintainable data pipelines on both structured and unstructured data. You will play a crucial role in achieving our ambitious objectives, including establishing Phoenix as AWS' premier order management and orchestration engine, transforming BPO into a fully data-driven organization, and centralizing BPO data assets while enabling self-serve analytics.
The ideal candidate has strong business judgment, a good sense of architectural design, excellent written and documentation skills, and experience with big data technologies (Spark/Hive, Redshift, EMR, and other AWS technologies). This role involves overseeing existing pipelines as well as developing brand new ones to support key initiatives. You'll work on implementing comprehensive data governance frameworks, increasing adoption of advanced analytics and AI/ML tools, and migrating data and ETL processes to more efficient systems. Additionally, you'll contribute to implementing self-serve analytics platforms, optimizing data pipeline creation processes, and integrating data from multiple sources to support BPO's growing data needs.
The operating environment is fast-paced and dynamic, with a strong team-oriented and welcoming culture. To thrive, you must be detail-oriented, enthusiastic, and flexible. In return, you will gain tremendous experience with the latest big data technologies and exposure to various use cases to improve process effectiveness, customer experience, and automation.
Key job responsibilities
Design and Develop ETL processes using AWS services such as AWS Glue, Lambda, EMR, and Step Functions, aiming to reduce pipeline creation time and improve efficiency
Implement and maintain a comprehensive data governance framework for Phoenix, ensuring data integrity, security, and compliance
Automate data monitoring, alerting, and incident response processes to ensure the reliability and availability of data pipelines, striving for near real-time data delivery
Collaborate with cross-functional teams including analysts, business intelligence engineers, and stakeholders to understand data requirements and design solutions that support BPO's transformation into a data-driven organization
Lead the development and implementation of a self-serve analytics platform, empowering both technical and non-technical users to drive their own analytics and reporting
Explore and implement advanced analytics and AI/ML tools to enhance data processing and insights generation capabilities
Stay up-to-date with the latest AWS data services, features, and best practices, recommending improvements to the data architecture to support BPO's growing data needs
Provide technical support and troubleshooting for issues related to data pipelines, data quality, and data processing, ensuring Phoenix becomes the trusted source of truth for AWS agreements and order management
About the team
About AWS
Diverse Experiences
AWS 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s 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, it’s 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
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll 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, there’s nothing we can’t achieve in the cloud.
About Sales, Marketing and Global Services (SMGS)
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.
Qualifications
- 1+ years of data engineering experience- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)
Extended Qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
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 $91,200/year in our lowest geographic market up to $185,000/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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