Data Engineer II, Benefits Experience & Technology

Global technology company pioneering in e-commerce, cloud computing, AI, and digital innovation
$118,900 - $205,600
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS

Description For Data Engineer II, Benefits Experience & Technology

Amazon's Career Choice AI Platform is seeking a Data Engineer to join their innovative education benefit program team. This role focuses on building an AI-powered platform that revolutionizes how employees discover and pursue educational opportunities. You'll be working on designing and implementing scalable data pipelines that power AI-driven career guidance solutions, handling diverse data sources while ensuring data quality, security, and compliance.

The platform features Smart Career Pathways using advanced AI/ML models, Adaptive Learning Systems, Real-time Labor Market Analytics, an Intelligent Education Marketplace, and Career Trajectory Intelligence. You'll be part of a high-impact team affecting thousands of lives, with zero Sev2s in recent months and a strong focus on career development.

The role offers competitive compensation ranging from $118,900 to $205,600 based on location and experience, plus equity and comprehensive benefits. You'll work in a collaborative environment with regular knowledge sharing sessions, cross-functional project opportunities, and innovation days. The team provides dedicated learning time, conference budgets, and clear career progression paths.

As a Data Engineer, you'll be instrumental in building data infrastructure that powers career development and employee empowerment initiatives. The position requires expertise in data modeling, ETL processes, and experience with various database technologies. Join Amazon in transforming how employees explore and advance their careers through cutting-edge technology and data-driven solutions.

Last updated 4 days ago

Responsibilities For Data Engineer II, Benefits Experience & Technology

  • Design and maintain scalable data pipelines integrating multiple external and internal data sources
  • Architect data lakes and warehouses supporting AI/ML models and analytics
  • Develop ETL processes ensuring data quality and reliability
  • Implement data governance frameworks and security measures
  • Collaborate with AI/ML teams to optimize data delivery
  • Build real-time data processing systems for immediate insights

Requirements For Data Engineer II, Benefits Experience & Technology

Python
  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with AWS technologies (preferred)
  • Experience with non-relational databases (preferred)

Benefits For Data Engineer II, Benefits Experience & Technology

Medical Insurance
Equity
Education Budget
  • Flexible working arrangements
  • Sustainable on-call rotation
  • Dedicated learning time
  • Conference and training budgets
  • Mentorship programs
  • Clear career progression paths
  • Medical, financial, and other benefits
  • Equity compensation
  • Sign-on payments

Interested in this job?

Jobs Related To Amazon Data Engineer II, Benefits Experience & Technology

Business Intelligence Engineer, Amazon Customer Service

Business Intelligence Engineer role at Amazon's CS Concessions Team, focusing on data analysis and insights to improve customer experience.

Business Intelligence Engineer, Last Mile Analytics

Business Intelligence Engineer role at Amazon focusing on last mile delivery analytics and global address management

Data Scientist, Customer Service

Data Scientist role at Amazon's D2AS team focusing on enhancing customer service experience through data-driven solutions and machine learning implementations.

Data Engineer II, Amazon Key

Data Engineer II position at Amazon Key team, building scalable data solutions for smart delivery operations with 3+ years experience required.

Business Intelligence Engineer, ACES QuBIT ORBIT Team

Business Intelligence Engineer position at Amazon focusing on data pipeline development, automation, and process improvement in the Global Customer Fulfillment Network.