Data Engineer, F3 DASH

Amazon is a global technology company running one of the world's largest e-commerce and cloud computing platforms.
$91,200 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
1+ year of experience
Enterprise SaaS · E-Commerce

Description For Data Engineer, F3 DASH

Amazon Fresh's Central Data Infrastructure team (DASH) is seeking a Data Engineer to join their fastest-growing business unit. This role offers an exciting opportunity to work with cutting-edge Big Data technologies and shape the future of Grocery data. The team's mission is to build a world-class, centralized, and secure data infrastructure for Amazon's Worldwide Omnichannel Grocery Business.

As a Data Engineer on the F3 DASH team, you'll be responsible for making grocery data easily accessible across multiple businesses from a single location. You'll work on VP-level visibility initiatives and make lasting impressions on how grocery data is managed and distributed globally. The role involves building and maintaining data warehouses, creating ETL pipelines, and working with massive datasets (processing >1T rows within hours).

The position offers competitive compensation ranging from $91,200 to $185,000 based on location and experience, plus equity and comprehensive benefits. You'll collaborate with Business Intelligence Engineers and Data Scientists, implementing advanced analytics algorithms and driving architecture decisions that enable world-class user experiences.

This is an excellent opportunity for someone with data engineering experience who wants to work at scale, pushing the boundaries of what's possible with data infrastructure. You'll be part of a team that's essential to Amazon's grocery business, enabling timely reporting and automated decision-making with standardized metrics to deliver top-line and bottom-line impact.

Last updated 2 minutes ago

Responsibilities For Data Engineer, F3 DASH

  • Help build infrastructure to answer questions with data using software engineering best practices
  • Manage AWS resources
  • Collaborate with Business Intelligence Engineers to recognize and help adopt best practices
  • Collaborate with Data Scientists to implement advanced analytics algorithms
  • Drive architecture and technology choices for world-class user experience
  • Develop expertise in Amazon's data resources
  • Encourage adoption of next-generation data architecture strategies
  • Create extensible designs and maintainable solutions
  • Build and maintain Amazon Grocery's global data infrastructure

Requirements For Data Engineer, F3 DASH

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

Benefits For Data Engineer, F3 DASH

Medical Insurance
Equity
  • Medical benefits
  • Financial benefits
  • Equity compensation
  • Sign-on payments available
  • Comprehensive benefits package

Interested in this job?

Jobs Related To Amazon Data Engineer, F3 DASH

BI Engineer, AWS Kumo Analytics

BI Engineer position at AWS focusing on analytics, data visualization, and ETL pipeline development to drive customer insights and business value.

Business Intelligence Engineer, Internal Audit - Data Analytics Support

Business Intelligence Engineer role at Amazon focusing on data analytics for Internal Audit, offering competitive salary and comprehensive benefits.

Data Engineer, Decision Intelligence Technology

AWS seeks Data Engineer to develop data architecture and analytics solutions for customer support platforms, offering competitive compensation and growth opportunities.

Business Intelligence Engineer, LMAQ-BI

Business Intelligence Engineer role at Amazon focusing on last-mile delivery optimization through data analytics and quality improvement initiatives.

Data Engineer, Data and Machine Learning, WWPS U.S Federal ProServe

AWS Data Engineer position working with US Intelligence Community, focusing on large-scale data integration and analytics solutions.