Data Engineer

Amazon Leo is an initiative to increase global broadband access through a constellation of 3236 satellites in low Earth orbit (LEO). Its mission is to bring fast affordable broadband to unserved and underserved communities around the world. Leo will help close the digital divide by delivering fast affordable broadband to a wide range of customers including consumers businesses government agencies and other organizations operating in places without reliable connectivity.

As a Data Engineer in Leos Global Business Operations (GBO) you will be one of the architects and engineers building up the cloud data infrastructure for use across Leo. You will be working directly on AWS to build internal tools used across the hundreds of Business Intelligence Engineers and Scientists to build business-critical reports and ML Models. You will design the data models used by these teams to efficiently dive deep into the business and extract insights. Getting in pre-launch you have creative influence to drive this engineering direction on a native stack and your outputs will be critical to the success of Leos ambitious mission.

Key job responsibilities

In this role you will :

• Develop Leo data products infrastructure and ETL pipelines to ingest parse and transform Geospatial datasets from external & internal APIs using AWS big data technologies (Glue S3 Redshift MWAA EMR Data Zone Lambda etc.)
• Work alongside Data Scientists Applied Scientists Software Engineers and Simulation Engineers to develop appropriate data assets for statistical modeling system integration and capacity simulations
• Improve existing solutions and come up with next generation Leos Data Architecture to improve scale quality and performance
• Implement data governance best practices to ensure data accuracy consistency and compliance with security and privacy regulations.
• Develop and maintain scripts to automate processes to generate structured datasets for forecasting POR and system inputs with focus on efficiency and scalability
• Build data dictionary catalog and governance plan and manage and audit all of the registered data via internal mechanisms
• Provide technical guidance and support to data consumers to leverage Global Planning data assets

Export Control Requirement :

Due to applicable export control laws and regulations candidates must be a U.S. citizen or national U.S. permanent resident (i.e. current Green Card holder) or lawfully admitted into the U.S. as a refugee or granted asylum.

About the team

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country / region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Bellevue - 132100.00 - 178800.00 USD annually

Required Experience :

IC

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-Time

Department / Functional Area : Data Engineering

Experience : years

Vacancy : 1

Monthly Salary Salary : 118900 - 205600