Data Engineer, Deal Tooling and Insights, Strategic Customer Engagements

Amazon; Seattle (WA); On-site; USD 132,000 - 179,000; Full time

Benefits offered by this job

Health insurance

RSUs included

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Data Engineer for the Deal Tooling and Insights team within Strategic Customer Engagements. You will build scalable data pipelines and data platforms, integrating diverse sources to support analytics, ML, and AI-enabled systems.

You’ll work with BI engineers and product teams on cloud-native approaches, leveraging generative AI to enhance data consumption and delivery. Strong emphasis on data quality, security, and scalable infrastructure.

Qualifications

• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
• 3+ years of data engineering experience.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL.
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience.

Responsibilities

• Architect and implement scalable, reliable data pipelines for extraction, transformation, and loading from diverse data sources.
• Manage AWS resources including EC2, Redshift, Glue, S3, SageMaker, App Studio, and Bedrock.
• Deploy infrastructure-as-code using CDK.
• Oversee production operations, including optimizing data delivery, scaling infrastructure, code deployments, bug fixes, and release management.
• Design and implement data structures using best practices in data modeling to support reporting, analysis, and machine learning.
• Build semantic layers and knowledge graphs enabling intelligent query routing and context-aware data access.
• Develop infrastructure for agentic AI systems with multi-agent orchestration.
• Ensure data quality through monitoring, validation, auditing, and documentation of pipelines and data sources.

Skills

ETL/ELT

SQL

Data modeling

Data warehousing

Big data pipelines

Education

Bachelor's degree in CS/Engineering/IS/Math

Tools

AWS Redshift

S3

AWS Glue

EMR

Kinesis

Lambda

CDK

Job description

Data Engineer, Deal Tooling and Insights, Strategic Customer Engagements

Job ID: 10499389 | Amazon Web Services, Inc.

Do you love building scalable data pipelines and engineering reliable datasets? Are you excited by the opportunity to create foundational data infrastructure that powers decision-making across AWS? Do you want to work in a fast-paced environment, solving data challenges at the intersection of engineering and business impact? If so, we are looking for a 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 design and manage large-scale data systems using cloud-native approaches to scalability and automation. You will build robust pipelines, integrate new data sources, and deliver reliable data products that support analytics, machine learning, and AI-powered systems. Working closely with business intelligence engineers and product teams, you will work backwards from business questions to build solutions that meet customer needs. The role will leverage generative AI and AWS services to raise the bar on how the team consumes and acts on data, and to build the next generation of AI-enabled data platforms.

Key job responsibilities

• Architect and implement scalable, reliable, and secure data pipelines for extraction, transformation, and loading from diverse data sources
• Manage AWS resources including EC2, Redshift, Glue, S3, SageMaker, App Studio, and Bedrock
• Deploy infrastructure-as-code using CDK
• Oversee production operations, including optimizing data delivery, scaling infrastructure, code deployments, bug fixes, and release management
• Design and implement data structures using best practices in data modeling to support reporting, analysis, and machine learning
• Build semantic layers and knowledge graphs enabling intelligent query routing and context-aware data access
• Develop infrastructure for agentic AI systems with multi-agent orchestration
• Ensure data quality through monitoring, validation, auditing, and documentation of pipelines and data sources
• Read, write, and debug data processing and orchestration code following best coding standards (e.g., version controlled, code reviewed)

Basic Qualifications

• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
• 3+ years of data engineering experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) processes experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
• Experience with data modeling, warehousing and building ETL pipelines

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

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.

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 https://amazon.jobs/en/benefits .

USA, NY, New York - 145,300.00 - 196,600.00 USD annually

USA, VA, Arlington - 132,100.00 - 178,800.00 USD annually

USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually

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