Data Engineer, Just Walk Out / Amazon Go

AWS Solutions provider offering horizontal and industry vertical applications with on-demand scalability and machine learning expertise.
$91,200 - $185,000
Data
Mid-Level Software Engineer
In-Person
1+ year of experience
AI · Enterprise SaaS · Retail

Description For Data Engineer, Just Walk Out / Amazon Go

AWS Solutions is seeking a Data Engineer for their Just Walk Out Technology team, which powers Amazon Go's checkout-free shopping experience. This role is part of the AWS Applications group, which includes innovative services like Amazon Connect, End User Computing, and Autonomous Checkout services. The position offers an opportunity to work on cutting-edge technology that combines vision, sensor fusion, and advanced machine learning to revolutionize retail shopping.

As a Data Engineer, you'll be at the forefront of innovation, working with various technologies including Linux and AWS services. You'll be responsible for building ETL pipelines, data modeling, and developing distributed systems. The role requires expertise in query languages like SQL and scripting languages such as Python.

Amazon offers a comprehensive compensation package, including competitive base pay ranging from $91,200 to $185,000 depending on location, plus equity and benefits. The company values work-life harmony and provides flexible work arrangements. You'll join a diverse and inclusive environment with access to employee-led affinity groups, mentorship opportunities, and continuous learning resources.

The ideal candidate should be comfortable with ambiguity and excited about solving complex problems. You'll work in Seattle, collaborating with multiple technical teams while contributing to technology that's transforming the retail experience. This role offers the chance to make a significant impact on customer experience while working with some of the most advanced technology in the retail and cloud computing space.

Last updated 2 minutes ago

Responsibilities For Data Engineer, Just Walk Out / Amazon Go

  • Help solve technical challenges and mentor other engineers
  • Translate business requirements into concrete deliverables
  • Build quick prototypes and proofs of concept
  • Develop and deploy reliable distributed systems
  • Work with core languages and technologies including Linux and AWS
  • Collaborate with multiple technical teams at Amazon

Requirements For Data Engineer, Just Walk Out / Amazon Go

Python
Linux
  • 1+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience with one or more query language (SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
  • Experience with one or more scripting language (Python, KornShell)

Benefits For Data Engineer, Just Walk Out / Amazon Go

Medical Insurance
  • Medical benefits
  • Financial benefits
  • Flexible work hours
  • Mentorship opportunities
  • Career development resources
  • Inclusive work environment

Interested in this job?

Jobs Related To Amazon Data Engineer, Just Walk Out / Amazon Go

Business Intelligence Engineer, Programming and Audience Discovery

Business Intelligence Engineer role at Amazon Prime Video focusing on data analysis and insights for content programming and customer behavior.

Data Engineer II, Decision Intelligence Technology

AWS Data Engineer position focusing on building and improving data architecture, implementing analytics, and scaling data solutions for AWS Support services.

Business Intelligence Engineer (L4), EU NFT

Business Intelligence Engineer role at Amazon focusing on data analytics and visualization to optimize fulfillment center operations

Business Intelligence Engineer, Ads Marketing Decision Science

Business Intelligence Engineer role at Amazon Ads focusing on data analysis, visualization, and ETL processes to drive advertising platform decisions.

Data Engineer II, Stores AppSec

Data Engineer role at Amazon's Security team building scalable data pipelines and infrastructure for security monitoring and analytics solutions.