Data Engineer, Denied Party Screening, AWS Compliance &...

DescriptionAmazon seeks an experienced Data Engineer to join the DPS (Deny Party Screening) team. Our mission is to prevent denied parties from transacting with Amazon businesses, including AWS, customers, vendors, sellers, subsidiaries, etc. We screen billions of events every day. We integrate with Tier 1 systems, build DPS systems, and deal with unique scaling challenges. As a Data Engineer, you will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be exposed to cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and datasets to meet business needs. You stay abreast of emerging technologies, investigating and implementing where appropriate. Key job responsibilities u2022 Design, implement, and support data warehouse/ data lake infrastructure using AWS bigdata stack, Python, Redshift, QuickSight, Glue/lake formation, EMR/Spark, Athena etc. u2022 Develop and manage ETLs to source data from various financial, AWS networking and operational systems and create unified data model for analytics and reporting. u2022 Creation and support of real-time data pipelines built on AWS technologies including EMR, Glue, Redshift/Spectrum and Athena. u2022 Collaborate with other Engineering teams, Product/Finance Managers/Analysts to implement advanced analytics algorithms that exploit our rich datasets for financial model development, statistical analysis, prediction, etc. u2022 Continual research of the latest big data and visualization technologies to provide new capabilities and increase efficiency. u2022 Use business intelligence and visualization software (e.g., QuickSight) to develop dashboards those are used by senior leadership. u2022 Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed. u2022 Working closely with team members to drive real-time model implementations for monitoring and alerting of risk systems. u2022 Manage numerous requests concurrently and strategically, prioritizing when necessary u2022 Partner/collaborate across teams/roles to deliver results. u2022 Mentor other engineers, influence positively team culture, and help grow the team About the team Denied Party Screening (DPS) is a part of Amazon Security, an organization designed to drive bar-raising security engagements. The vision of the Amazon DPS program is to ensure that 1+ billion Amazon accounts spanning across consumers, sellers, developers, employees, and all other Amazon party, are not a denied party, located or incorporated in a sanctioned region or country, or owned or controlled by or subject to the jurisdiction of the government of a sanctioned country. Why Amazon Security At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazonu2019s products and services. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, thereu2019s nothing we canu2019t achieve. Inclusive Team Culture In Amazon Security, itu2019s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices. Training and Career growth Weu2019re continuously raising our performance bar as we strive to become Earthu2019s Best Employer. Thatu2019s why youu2019ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.Basic Qualifications- 5+ years of data engineering experience - Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby - Experience working on and delivering end to end projects independently - Experience with big data technologies such as: Hadoop, Hive, Spark, EMRPreferred 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 at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience with distributed systems as it pertains to data storage and computing - Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets - Experience providing technical leadership and mentoring other engineers for best practices on data engineering 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 for more information. If the country/region youu2019re applying in isnu2019t 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 . USA, TX, Dallas - 132,100.00 - 178,800.00 USD annually USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually

Created: 2026-01-30