Data Engineer, Measurement, Ad Tech, and Data Science (MADS)

Amazon is a global technology company building advanced advertising and cloud solutions.
$91,200 - $185,000
Data
Mid-Level Software Engineer
In-Person
1+ year of experience
AI · Enterprise SaaS · Advertising

Description For Data Engineer, Measurement, Ad Tech, and Data Science (MADS)

Amazon Marketing Cloud (AMC) is seeking a Data Engineer to join their advanced analytics team. This role is part of a crucial initiative within Amazon Advertising, focusing on building and maintaining secure, privacy-safe cloud-based analytics environments. The position offers an opportunity to work with billions of behavioral signals daily, where speed, scale, and accuracy are paramount.

The role involves building infrastructure for data analysis, implementing engineering best practices, and managing data storage principles. You'll be working closely with cross-functional teams across Amazon Advertising to develop scalable big data solutions. This is a unique opportunity to contribute to a greenfield product within Amazon's advertising ecosystem.

As a Data Engineer, you'll be part of the AMC team that enables advertisers to perform analytics across multiple, pseudonymized data sets. The platform helps with campaign measurement, audience refinement, and supply optimization, directly impacting millions of customers daily. You'll work with modern full-stack technologies at Amazon scale, collaborating with some of the best engineers in the industry.

The position offers competitive compensation ranging from $91,200 to $185,000 based on location and experience, plus additional benefits including equity and medical coverage. This is an excellent opportunity for someone passionate about data engineering who wants to make a significant impact on Amazon's advertising business while working with cutting-edge technology and massive data sets.

The ideal candidate should have experience with data modeling, ETL pipelines, and various query languages. You'll be joining a team that values innovation, technical excellence, and the ability to solve complex problems at scale. If you're excited about building advanced analytics solutions and working with big data technologies, this role offers the perfect blend of challenge and opportunity.

Last updated 4 days ago

Responsibilities For Data Engineer, Measurement, Ad Tech, and Data Science (MADS)

  • Build and maintain infrastructure to answer questions with data
  • Work closely with engineering, business intelligence and product teams
  • Provide high quality and scalable big data flow for datasets
  • Design large scale distributed and orchestration systems
  • Develop analytical solutions to solve business problems

Requirements For Data Engineer, Measurement, Ad Tech, and Data Science (MADS)

Python
  • 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, Measurement, Ad Tech, and Data Science (MADS)

Medical Insurance
Equity
  • Full range of medical benefits
  • Financial benefits
  • Equity compensation
  • Sign-on payments
  • Total compensation package

Interested in this job?

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