Data Engineer, Deal Tooling & Insights (AI‑Driven)

Amazon

Seattle (WA)

On-site

USD 132,000 - 179,000

Full time

3 days ago
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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

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.

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