Data Engineer II, Intelligence Data Services, Amazon Leo

Amazon Leo is Amazons low Earth orbit satellite broadband network. Its mission is to deliver fast reliable internet to customers and communities around the world and weve designed the system with the capacity flexibility and performance to serve a wide range of customers from individualhouseholds to schools hospitals businesses government agencies and other organizations operating in locations without reliable connectivity.

Export Control : This position requires that the candidate selected be a U.S. Citizen in order to comply with U.S. government-imposed requirements related to the nature of the work and/or where it will be performed.

Leo Intelligence Data Services (KIDS) team is seeking a Data Engineer II who will help architect and build enterprise grade data platform combining data lake and mesh architectures using latest AWS data this role youll be responsible for building and maintaining the organizations central data platform that serves as the single source of truth enabling teams across the company to develop analytics and dashboards. Working closely with cross-functional teams across hardware software supply chain manufacturing launch facilities finance compliance and HR youll implement sophisticated data architectures and self-service tooling to support various analytics use cases including business reporting production pipelines optimization models statistical analysis and simulations.

As a Data Engineer II you will be responsible for architecture and engineering of data infrastructure across our systems of supply chain development production and test. Youll drive production optimization by managing data stores developing key performance indicators and enabling data-driven program decisions. The role focuses on architecting and implementing data ingestion and data vending processes that provide crucial insights into our business health ultimately serving as the foundation for our organizations data-driven future. Strong expertise in AWS data services and experience with enterprise-scale data architectures is essential for success in this position.

The ideal candidate is a technically savvy engineer maintaining strong ownership detail-oriented analytical thinker communicates effectively with both technical and business teams and thrives in a fast-paced agile environment. They combine strong technical expertise with business acumen can manage multiple priorities and adapts quickly to changing requirements and priorities.


Key job responsibilities
- Design implement and maintain data infrastructure including data modeling ETL pipelines and ongoing maintenance.
- Partner with product operational and technical teams to build data pipelines from a wide variety of sources using AWS big data technologies (Lake Formation Glue S3 MWAA Lambda etc.).
- Build a data dictionary catalog and governance plan and manage and audit all of the registered data via robust mechanisms.
- Work with data consumers to provide and correlate the right data for business intelligence and machine learning use-cases.
- Develop automated solutions to minimize manual processes with focus on efficiency and scalability.
- Provide guidance on data stewardship for teams onboarding to the central data systems.

A day in the life
As a Data Engineer II youll start your day collaborating with cross-functional partners to understand their data needs. You might spend time optimizing ETL pipelines reviewing code with team members designing new data models building new self-service frameworks for downstream consumers or enhancing our data infrastructure for security scalability and reliability. Yow will work with partner teams on building golden datasets. Youll participate in technical discussions to solve complex problems.


About the team
Amazon Leo Intelligence Data Services (KIDS) team owns DataHive a centralized data and analytics infrastructure that serves as the single source of truth enabling teams to develop insights and analytics tools that drive Amazon Leos satellite production operations. The platform enforces stringent data governance with tagging and access controls enhancing data discoverability and security. Were building the next generation of self-service capabilities for both data providers and consumers including data catalogs quality monitoring automated tagging GenAI-powered tools and custom data integrations that make data accessible and actionable for all Amazon Leo teams.


- 3 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines

- 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)

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