Amazon · 2 hours ago
Data Engineer, Global Planning, Amazon Leo
Bellevue, Washington, USA
Full-time
Onsite
Mid Level
$132K/yr - $179K/yr
3+ years expAmazon is an initiative to increase global broadband access through a constellation of satellites. They are seeking a Data Engineer to build enterprise-grade data infrastructure and data assets that support demand science and forecasting models, as well as capacity planning and simulation systems.
Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
No H1B
U.S. Citizen Only
Responsibilities
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 Leo's 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
Qualification
Required
3+ years of data engineering experience
1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
Experience with data modeling, warehousing and building ETL pipelines
Preferred
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Benefits
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
Parental leave
Company
Amazon
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$8.11BKey Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO
Leadership Team
Douglas J. Herrington
CEO, Worldwide Amazon Stores
Werner Vogels
VP & CTO
Recent News
2026-01-25
2026-01-25
2026-01-25
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