Data Platform Engineer – AI-Driven Analytics

Socket.dev

Seattle (WA)

On-site

USD 132,000 - 179,000

Full time

8 days ago

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Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

RSUs

Job summary

Amazon is seeking a Data Engineer for the Strategic Customer Engagements team in Seattle to build scalable data analytics platforms and reliable datasets that power decision-making and AI-powered systems.

Qualifications

Bachelor's degree 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.

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.