Data Engineer II, Intelligence Data Services, Amazon LeoAmazon • Bellevue, Washington, United States
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Data Engineer II, Intelligence Data Services, Amazon Leo
Amazon
- Bellevue, Washington, United States
- Bellevue, Washington, United States
About
Export Control: This position requires that the candidate selected be a U.S. Citizen to comply with U.S. government‑imposed requirements related to the nature of the work.
Key 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 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 a 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, you will collaborate with cross‑functional partners to understand their data needs, optimize ETL pipelines, review code with team members, design new data models, build new self‑service frameworks for downstream consumers, and enhance data infrastructure for security, scalability and reliability. You will work with partner teams to build golden datasets and participate in technical discussions to solve complex problems.
About the Team Amazon Leo Intelligence Data Services (KIDS) owns DataHive, a centralized data and analytics infrastructure that serves as the single source of truth. The platform enforces stringent data governance with tagging and access controls, enhancing data discoverability and security. We are 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.
Basic Qualifications
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.
Preferred Qualifications
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.
Legal Notice Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Compensation & Benefits The base salary range for this position is USD 132,100.00 – 178,800.00 annually. 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, supplemental life plans), EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, 401(k) matching, paid time off, parental leave, and more.
Location Bellevue, Washington, United States
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Languages
- English
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