Sr. Data & Analytics Engineer, Amazon Leo

Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to Basic qualifications: - 5+ years of non-internship professional software development experience - 5+ years of programming with at least one software programming language experience - 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience as a mentor, tech lead or leading an engineering team - Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or majors relating to these fields - Experience developing scalable data pipelines, databases, data models, APIs, or engineering data platforms. - Strong programming experience with Python or another modern programming language and strong SQL skills. - Experience developing data-analysis, visualization, or engineering applications using large or complex datasets. - Experience with ETL/ELT pipelines, data validation, schema design, and integration of multiple data sources. - Experience translating engineering or customer requirements into scalable software, data, or analytics solutions. Preferred: - Bachelor's degree in computer science or equivalent - Master's degree or above in computer science, engineering, mathematics or equivalent, or Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent - Experience working with hardware development, automated test, manufacturing, aerospace, automotive, semiconductor, battery, or other complex engineering environments. - Experience analyzing high-volume or time-series data from test equipment, sensors, instrumentation, or manufacturing systems. - Experience developing engineering dashboards, automated reports, statistical analysis tools, or data-driven applications. - Experience integrating data with MES, manufacturing traceability, quality management, laboratory, or equipment-monitoring systems. - Experience with AWS data technologies, APIs, streaming architectures, data lineage, metadata management, or schema versioning. 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, Redmond - 168,100.00 - 227,400.00 USD annually