Senior Data Engineer, 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: - 7+ years of data engineering experience - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience mentoring team members on best practices - 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 communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy - Experience providing technical leadership and mentoring other engineers for best practices on data engineering - Experience with MPP databases such as Amazon Redshift - Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent - 5+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience Preferred: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience operating large data warehouses - Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage - Experience delivering results for large, cross-functional initiatives/projects, or experience communicating results to senior leadership - Experience with enterprise-scale infrastructure or development-based cloud programs/projects in a related industry - Experience operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets, or experience with software development lifecycle 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 - 154,600.00 - 209,100.00 USD annually