Data Engineer: AI-Driven, Scalable Analytics Platform

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 132,000 - 179,000

Full time

4 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave
Adoption and Surrogacy Reimbursement

Job summary

Amazon Web Services, Inc. is seeking a Data Engineer to build scalable data pipelines and a robust analytics platform for the Strategic Customer Engagements team.

You will design and manage cloud-native data systems, integrate diverse sources, and deliver reliable data products for analytics, ML, and AI-powered systems. Collaborate with BI engineers and product teams, employ CDK for infrastructure, and ensure data quality through monitoring and documentation.

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 ETL/ELT development and operation for BI analytics.
  • 1+ years of SQL experience for BI analytics.
  • 1+ years of data modeling for BI analytics.
  • Experience with data modeling, warehousing and building ETL pipelines.

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 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.

Skills

Data engineering
SQL
Data modeling
ETL/ELT

Education

Bachelor's degree

Tools

Redshift
S3
Glue
EMR
Kinesis
Firehose
Lambda
IAM roles

Job description

Amazon Web Services, Inc. is seeking a Data Engineer to build scalable data pipelines and a robust analytics platform for the Strategic Customer Engagements team.

You will design and manage cloud-native data systems, integrate diverse sources, and deliver reliable data products for analytics, ML, and AI-powered systems. Collaborate with BI engineers and product teams, employ CDK for infrastructure, and ensure data quality through monitoring and documentation.

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