Data Engineer II, Intelligence Data Service, Project Kuiper

Project Kuiper 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.

Kuiper Intelligence Data Services (KIDS) team is seeking a Senior Data Engineer 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 to support various analytics use cases including business reporting production pipelines optimization models statistical analysis and simulations.

As a Sr Data Engineer 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 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 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 or designing new data models. Yow will work with partner teams on building golden datasets. Youll participate in technical discussions to solve complex problems and mentor junior team members.


About the team
KIDS team owns DataHive a centralized data and analytics infrastructure that serves as the single source of truth enabling teams to develop dashboards and insights that drive Kuipers satellite production operations. The platform enforces robust data governance with tagging and access controls enhancing data discoverability and security. KIDS offers self-serve capabilities for both data providers and consumers including features including data quality monitoring automated and manual data tagging and the ability to bring in custom data tables.

- 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118900/year in our lowest geographic market up to $205600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.