Aws Sqs Data Jobs

1 job found

1mo ago

Data Engineer II, AAE

Amazon Development Center U.S., Inc. Bellevue, WA

Bellevue, WA

1mo ago Closed

$132k - $179k/yr Full time Analytics Apache Airflow Artificial Intelligence

This position is no longer accepting applications (closed Jul 3, 2026).

Job Description

Based in Bellevue, WA onsite, this Data Engineer II role focuses on building end-to-end data platforms for AWS AI services and delivering executive insights through automated analytics and revenue reporting.

Responsibilities

Architect and implement complete data platforms for new AWS AI services, establishing schemas, data models, ETL/ELT pipelines, and analytics infrastructure where none exists today
Develop and maintain production ETL/ELT pipelines with AWS Glue, Airflow, Spark, and Python to ingest data from operational, commercial, and telemetry sources into unified data models
Create agentic data workflows featuring automated reporting pipelines that leverage AI/ML to generate business insights, weekly business review summaries, and anomaly detection with minimal manual intervention
Build event-driven data architectures using CDK, Lambda, SNS/SQS, and S3 event notifications to support real-time data ingestion and processing
Develop executive dashboards and self-serve analytics using QuickSight for VP/GM-level leadership across multiple service lines
Ensure revenue data accuracy by implementing and validating revenue attribution models, discount calculations, and financial data pipelines that feed CFO-mandated reporting
Design data models that support both operational analytics (feature adoption, customer health, churn signals) and financial reporting (revenue, billing, forecasting)
Collaborate with Product Management, Finance, Service Engineering, GTM, and Data Science teams to translate business questions into scalable data solutions
Optimize pipeline performance by reducing runtimes, eliminating redundant processing, and improving SLA compliance across production workloads
Mentor engineers, contribute to team standards, and foster a culture of automation, code quality, and operational excellence

Requirements

5+ years of data engineering experience
3+ years of developing and operating large-scale BI data structures for analytics using ETL/ELT processes
3+ years of developing and operating large-scale BI data structures for analytics using data modeling
Experience with data modeling, data warehousing, and building ETL pipelines

Technologies

AWS Glue
Redshift
Athena
QuickSight
Bedrock
SageMaker
CDK
Lambda
SNS
SQS
S3
Airflow
Spark
Python
Kendra
Kiro

Benefits

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D, 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
Parental leave
Sign-on payments
Restricted stock units (RSUs)

A day in the life

Design data models for newly launched AWS AI services and deploy ETL pipelines to onboard telemetry and revenue data
Validate data accuracy across financial reporting systems
Architect CDK-based event-driven pipelines and collaborate with Product Managers to define launch metrics
Resolve data discrepancies surfaced by Finance and optimize production queries feeding VP-level weekly business reviews

About the team

The AI Services Data Engineering team builds the data infrastructure behind AWS Armored AI products including Bedrock, AgentCore, QuickSight, Q Business, Kendra, Kiro, and Transform. Our data powers metrics and reporting that inform executive visibility into Agentic AI revenue, adoption, and growth, including automated weekly business reviews with agent-generated summaries and revenue attribution models for multi-billion dollar pricing programs and launch telemetry.

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