Data Engineer II, Intelligence Data Services, Amazon Leo
About The Position
Amazon Leo is Amazon’s low Earth orbit satellite broadband network, aiming to deliver fast, reliable internet globally. The Leo Intelligence Data Services (KIDS) team is seeking a Data Engineer II to architect and build an enterprise-grade data platform using AWS data services, combining data lake and mesh architectures. This role is responsible for building and maintaining the organization's central data platform, serving as the single source of truth to enable analytics and dashboards. The Data Engineer II will collaborate with cross-functional teams across various departments to implement sophisticated data architectures and self-service tooling for diverse analytics use cases. The position focuses on architecting and implementing data ingestion and vending processes to provide insights into business health and support a data-driven future, requiring strong expertise in AWS data services and enterprise-scale data architectures. The ideal candidate is technically savvy, detail-oriented, analytical, communicates effectively, and thrives in a fast-paced agile environment, combining technical expertise with business acumen.
Requirements
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Must be a U.S. Citizen
Nice To Haves
- 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)
- Experience in automating, deploying, and supporting infrastructure
- Experience building or managing data infrastructure, using Infrastructure as Code (CDK or Terraform)?
- Experience with data governance and data catalog frameworks
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.
Benefits
- sign-on payments
- restricted stock units (RSUs)
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
