Data Engineer II, RME Central- Global Maintenance Automation Platform (MAP)

Global technology and e-commerce company that leads in cloud computing, digital streaming, and artificial intelligence.
$118,900 - $205,600
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS

Description For Data Engineer II, RME Central- Global Maintenance Automation Platform (MAP)

Amazon's Reliability Maintenance Engineering team is seeking a Data Engineer II to lead their data infrastructure and analytical models to the next generation. This role is perfect for analytical thinkers who are passionate about working with large-scale data systems and building impactful solutions. As a Data Engineer II, you'll be responsible for collecting and storing large volumes of data, building analytical models, and solving complex problems that meet growing worldwide needs. The position offers an opportunity to work with cutting-edge AWS technologies and build highly available, distributed systems.

The role combines technical expertise in data engineering with business impact, requiring someone who can both architect complex data solutions and partner with stakeholders to drive strategic initiatives. You'll be working in a fast-paced, global environment where self-starters thrive. The position offers competitive compensation ranging from $118,900 to $205,600 based on location and experience, plus comprehensive benefits including medical, dental, vision coverage, and 401(k).

This is an excellent opportunity for experienced data engineers who want to make a significant impact at one of the world's leading technology companies. You'll be working with state-of-the-art technologies and have the chance to solve complex problems at scale. Amazon's culture of innovation and customer obsession makes this an ideal place for those who want to push the boundaries of what's possible with data engineering.

Last updated 3 hours ago

Responsibilities For Data Engineer II, RME Central- Global Maintenance Automation Platform (MAP)

  • Lead data infrastructure and analytical models for North America Reliability Maintenance Engineering team
  • Work with large volumes of data
  • Design and implement ETL processes
  • Partner with business stakeholders to identify strategic opportunities
  • Build and maintain data infrastructure

Requirements For Data Engineer II, RME Central- Global Maintenance Automation Platform (MAP)

Python
  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience building/operating highly available, distributed systems of data extraction
  • Experience building large-scale, high-throughput, 24x7 data systems

Benefits For Data Engineer II, RME Central- Global Maintenance Automation Platform (MAP)

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
401k
  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Parental Leave
  • Paid Time Off (PTO)
  • 401k

Interested in this job?

Jobs Related To Amazon Data Engineer II, RME Central- Global Maintenance Automation Platform (MAP)

Data Engineer

Data Engineer position at Amazon's D2AS organization, building scalable data solutions and analytics for customer support technologies using AWS stack.

Business Intelligence Engineer II, AWS Sustainability Technology

Business Intelligence Engineer II position at AWS focusing on sustainability technology, developing data analytics tools to support renewable energy and environmental initiatives.

Data Engineer II, Connections

Data Engineer position at Amazon's Connections team, building scalable data solutions using AWS technologies to improve workplace culture through employee feedback analysis.

Data Engineer II, Managed Operations Engineering & Data Science (MOEDS)

AWS Data Engineer II position focusing on building scalable data pipelines and architectures for cloud infrastructure optimization.

Cloud Support Engineer I (Analytics)

Cloud Support Engineer position at AWS focusing on Analytics services, providing technical support and troubleshooting for customers using AWS analytics solutions.