Data Engineer, SMGS Business Insights and Operations

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.

At Amazon were working to be Earths most customer-centric Company and Earths Best Employer. To get there we need exceptionally talented bright and driven people. Within AWS the Business Insights and Operations team serves as a central business operations and analytics function that supports the AWS Industries organization with actionable insights data and dashboards to gauge performance and refine our strategy. We also work closely with business operations and engineering teams in planning designing executing and implementing data solutions automating mechanisms and driving business cadences. We are seeking an experienced Data Engineer to design build and maintain scalable data pipelines and infrastructure that power our data-driven organization. Candidates should have advanced data engineering skills and experience building solutions that can scale across large complex datasets. Beyond data engineering expertise the ideal candidate would also have broad technical skills including SQL proficiency Python development ETL/ELT design and experience working with AWS data services.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures and were building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.



Key job responsibilities

Design and implement complex data pipelines and models that power business-critical analytics and reporting

Drive end-to-end delivery of scalable reliable and low-cost data solutions from production systems into the data lake

Develop new data processing patterns and frameworks to optimize performance and reliability of data infrastructure

Lead technical design and implementation of ETL/ELT solutions using AWS services including EMR Redshift Glue Lambda and S3

Collaborate with business owners and stakeholders to understand data requirements and translate them into technical solutions

Create robust data quality and monitoring solutions to ensure data accuracy completeness and availability

Mentor junior team members in data engineering best practices and contribute to a culture of continuous improvement



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.


- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Bachelors Degree in Computer Science Mathematics Statistics Engineering or equivalent experience
- 5 years of designing and implementing data pipelines and ETL/ELT processes
- Experience with SQL Advanced SQL scripting
- Experience with Python development for data engineering

- Knowledge of batch and streaming data architectures like Kafka Kinesis Flink Storm Beam
- Experience with AWS data services (EMR Redshift Glue S3 Lambda or equivalent)
- Familiarity with AI technologies (FM MCP server Quicksuite)
- Experience with data governance frameworks (including data quality lineage and cataloging)
- Experience with data visualization tools (Amazon QuickSight Tableau or equivalent)
- Experience with infrastructure-as-code and CI/CD pipelines for data engineering workflows
- Experience working in a Sales Operations or business analytics environment

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.

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 WA Seattle - 132100.00 - 178800.00 USD annually