Amazon Senior Data Engineer Kuiper ProdOps Project 

United States, Washington, Bellevue 

127109682

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.As a Sr. Data Engineer (DE) you will design, architect, and manage scalable data infrastructure that directly empowers our science team and initiatives. You will own the full data lifecycle, building and maintaining robust, high-quality data pipelines and feature stores required for developing and deploying production-grade ML models. This role involves significant hands-on engineering to transform raw data from complex systems into reliable, accessible data products, providing the essential foundation for advanced analytics, predictive modeling, and strategic decision-making across Kuiper’s Production Operations. You will have direct responsibility for the architecture and engineering of data infrastructure across our systems to support key scientific areas like Statistical Process Control (SPC), time series analysis, supply chain optimization, and production testing.As a Sr. Data Engineer within Kuiper ProdOps, you will demonstrate technical leadership by creating clarity out of ambiguity and enabling productive collaboration. You are a customer-obsessed problem-solver who partners effectively with peers across all Kuiper teams, including hardware, software, supply chain, manufacturing, launch, facilities, and finance. Your ability to invent and simplify will be key to solving technical challenges, and you will have the opportunity to pioneer ML and GenAI-powered data solutions that improve analytics efficiency and uncover hidden patterns. You will use your communication skills to articulate complex data concepts, manage expectations, and drive consensus across diverse technical and non-technical stakeholders.
Key job responsibilities
- Architect and implement the next-generation data systems for Kuiper Production Operations
- Improve existing solutions and drive the evolution of scaling our infrastructure to support science and ML workloads
- Work with engineers and scientists to build and manage feature stores for consistent definition, storage, and retrieval of data features for both model training and real-time inference
- Develop and optimize data pipelines and data models to ensure data integrity and efficient access for analyses
- Implement data quality checks, validation, and monitoring to ensure reliable consistent data for all consumers- Support production optimization by managing data stores and tracking KPIs to enable data-driven program decisions- Convey complex ideas in simple terms to both technical and non-technical audiences, using clear written and verbal communicationA day in the life
You will work on built data infrastructure and enable development of tools for Kuiper's production teams that will help streamline the production of our satellite technology.You should relish the idea of solving problems that haven't been solved at scale before. Along the way, we guarantee that you will learn a lot, have fun and make a positive impact on millions of people.

- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy

- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- Experience operating large data warehouses
- Knowledge of data mining techniques, predictive analytics, and statistical modeling
- Strong ability to interact, communicate, present, and influence within multiple levels of the organization