Senior Data Engineer, WWFBA Analytics & Engineering

World's largest e-commerce and cloud computing company, known for innovation in online retail, artificial intelligence, and digital services.
$139,100 - $240,500
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Enterprise SaaS · E-Commerce

Description For Senior Data Engineer, WWFBA Analytics & Engineering

World Wide Fulfillment by Amazon (FBA) is seeking a Senior Data Engineer to join their Analytics & Engineering team within the FBA Insights & Planning organization. This role focuses on building centralized analytics and data engineering infrastructure for the FBA business. The position involves working with large-scale global datasets and implementing cutting-edge technologies including Spark, Ray, DBT, and AWS services.

The ideal candidate will lead the development of scalable data solutions that unify sources of truth and reduce operational complexity. They will collaborate with software engineers, data engineers, and analysts to build a global data lake and infrastructure. The role requires exceptional analytical thinking and problem-solving skills, with opportunities to influence decision-making across WWFBA through reliable, actionable insights.

Key responsibilities include designing data pipelines, partnering with cross-functional teams, driving technical innovation, and developing AI-powered insights platforms. The position offers exposure to advanced technologies and the chance to work on complex problems at scale. Amazon provides a competitive compensation package including base pay ranging from $139,100 to $240,500 depending on location, plus equity and comprehensive benefits.

This is an excellent opportunity for experienced data engineers passionate about working with large-scale systems and interested in shaping the future of Amazon's FBA business. The role combines technical expertise with business impact, requiring both strong engineering skills and the ability to collaborate with stakeholders across the organization.

Last updated 2 hours ago

Responsibilities For Senior Data Engineer, WWFBA Analytics & Engineering

  • Lead the design and implementation of scalable data pipelines and storage solutions
  • Partner with cross-functional teams
  • Drive technical innovation and best practices for data engineering and analytics
  • Develop an AI-powered insights platform
  • Collaborate with regional FBA, Finance, and Retail teams

Requirements For Senior Data Engineer, WWFBA Analytics & Engineering

Python
Java
  • Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
  • 5+ years of data engineering, database engineering, business intelligence or business analytics experience
  • 4+ years of experience in developing and operating large-scale ETL/ELT processes
  • 4+ years of coding experience in modern programming languages
  • 4+ years of experience working with relational databases
  • 4+ years of experience in building distributed systems
  • Advanced SQL skills
  • Experience with MPP data technologies
  • Proficiency with Python-based data analysis libraries

Benefits For Senior Data Engineer, WWFBA Analytics & Engineering

Medical Insurance
401k
  • Comprehensive medical benefits
  • 401k plan
  • Equity compensation
  • Total compensation package includes base pay and benefits

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