Data Engineer II, Monetization Product and Engineering

Amazon Web Services (AWS) is the world's leading cloud computing platform providing scalable, reliable services to businesses worldwide.
$118,900 - $205,600
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · Cloud
This job posting may no longer be active. You may be interested in these related jobs instead:
Data Engineer II, Shopbop

Data Engineer position at Shopbop (Amazon) building and optimizing data pipelines using AWS technologies to drive fashion e-commerce innovation.

Business Intelligence Engineer

Business Intelligence Engineer role at Amazon Security, focusing on data analysis, visualization, and security risk assessment with competitive compensation range of $89,600-$185,000.

Business Intelligence Engineer, Advertising Finance, Amazon Advertising

Business Intelligence Engineer role at Amazon Advertising, focusing on data infrastructure and analytics for worldwide Small and Medium Business Display Advertising.

Data Architect & Analytics, AWS Professional Services

AWS Professional Services seeks Data Architect to design and implement cloud solutions, requiring 3+ years in Hadoop/Spark implementations and strong AWS expertise.

Data Engineer, GTMO Product Tech

Data Engineer position at Amazon Business, building large-scale data integration services and driving business decisions through data solutions.

Description For Data Engineer II, Monetization Product and Engineering

AWS Commerce Platform (CP) is seeking a talented Data Engineer to join their team in building a cutting-edge, highly scalable data platform. This role is crucial in supporting CP BI and operational analytics, processing trillions of events monthly. You'll be working with one of the world's largest and most complex data environments, supporting the platform that allows customers to purchase AWS services.

As a Data Engineer, you'll have end-to-end ownership of data engineering solutions and play an integral role in strategic decision-making. The position offers the opportunity to work with massive datasets and implement solutions using advanced AWS technologies like Redshift, Glue, Lambda, and MWAA. You'll be part of a team that processes over $36 billion worth of bills annually, working to transform manual operations through automation and innovation.

The ideal candidate will be a self-starter comfortable with ambiguity, possessing strong attention to detail and the ability to thrive in a fast-paced environment. You'll collaborate with BI engineers, software developers, product managers, and other stakeholders to solve unique business problems. The role requires expertise in data modeling, ETL pipeline development, and proficiency with various programming languages and big data technologies.

This position offers competitive compensation ranging from $118,900 to $205,600 based on location and experience, plus additional benefits including equity and comprehensive medical coverage. Join Amazon Web Services and be part of a team that's tackling some of the hardest scalability, performance, and distributed computing challenges in the world.

Last updated 2 months ago

Responsibilities For Data Engineer II, Monetization Product and Engineering

  • Design, implement, and support an analytical platform providing approved access to large datasets
  • Managing AWS resources including Redshift, Glue, Lambda, MWAA
  • Interface with other technology teams to extract, transform, and load data
  • Build robust and scalable data integration (ETL) pipelines
  • Recognize and adopt best practices in reporting and analysis
  • Work closely with BI engineers, software developers, and product managers
  • Build and deliver high quality data solutions

Requirements For Data Engineer II, Monetization Product and Engineering

Python
Java
Scala
Node.js
  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Knowledge of professional software engineering & best practices
  • Experience in Python, Java, Scala, or NodeJS
  • 4+ years of SQL experience
  • Experience with big data technologies (Hadoop, Hive, Spark, EMR)
  • Familiarity with AWS, relational DBs, and no SQL databases

Benefits For Data Engineer II, Monetization Product and Engineering

Medical Insurance
  • Medical Insurance
  • Financial Benefits

Interested in this job?