Data Engineer II, AWS Analytics Engineering

The AWS Analytics Engineering (AAE) organization is the analytics backbone of AWS — we build and operate the data platform that powers business decisions across more than 150 AWS services. Every insight Basic qualifications: - 5+ years of data engineering experience - 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience - 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience - 3+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines - Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust - Experience with enterprise-scale infrastructure or development-based cloud programs/projects in a related industry - Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent - Experience implementing data governance controls: access management, encryption, data classification, and audit logging Preferred: - 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 with AWS services including S3, Redshift, EMR and RDS - Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets - Experience building data products incrementally and integrating and managing data sets from multiple sources - Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage - Experience building compliance and audit frameworks: automated data lineage tracking, retention policy enforcement, and regulatory audit support 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 https://amazon.jobs/en/benefits . USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually