[Remote] Data Engineer, AWS GDSP A&I

Note: The job is a remote job and is open to candidates in USA. Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon, leading in secure and scalable cloud services. The Data Engineer role within the Global Deal Strategy and Programs (GDSP) team focuses on developing and maintaining scalable data solutions to support analytical needs and drive business growth through data-driven insights.ResponsibilitiesDesign, develop, and maintain scalable data solutions for metrics, reports, analyses, and dashboards that support analytical and business needsCollaborate with technology teams to extract, transform, and load data from diverse sources using AWS services and internal toolsBuild and deliver high-quality datasets that support data science initiatives and customer reporting requirementsAutomate and optimize reporting processes to enable self-service analytics for stakeholdersTranslate business problem statements into technical analysis requirementsApply analytical and statistical rigor to answer business questions and drive data-driven decisionsDevelop measurement frameworks that quantify customer experience and drive business outcomesCreate queries and visualizations for ad-hoc requests, projects, and ongoing reporting needsWrite efficient, optimized queries with deep knowledge of data structures and query optimization techniquesAdopt best practices in reporting and analysis including data integrity, design, validation, and documentationTroubleshoot operational data quality issues and audit existing data pipelines and queriesRecommend improvements to back-end data sources for increased accuracy and simplicitySkills3+ years of data engineering experience1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experienceExperience with data modeling, warehousing and building ETL pipelinesExperience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissionsExperience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)BenefitsSign-on payments and restricted stock units (RSUs)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) matchingPaid time offParental leaveCompany OverviewLaunched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. It was founded in 2002, and is headquartered in Seattle, Washington, USA, with a workforce of 10001+ employees. Its website is http://aws.amazon.com.Company H1B SponsorshipAmazon Web Services (AWS) has a track record of offering H1B sponsorships, with 3262 in 2026, 22803 in 2025, 21175 in 2024, 19057 in 2023, 24088 in 2022, 12233 in 2021, 14881 in 2020. Please note that this does not guarantee sponsorship for this specific role.