Data Engineer, Seller Partner Trust and Store Integrity Science

Seattle, OR - USA

Monthly Salary: Not Disclosed

Posted on: 19 hours ago

Vacancies: 1 Vacancy

Department:

Data Engineering

Job Summary

Do you want to join an innovative team of scientists and engineers who use machine learning and artificial intelligence to help Amazon provide the best customer experience by preventing eCommerce fraud Are you excited by the prospect of building scalable data infrastructure and pipelines that process terabytes of data enabling state-of-the-art algorithms to solve real world problems Do you like to own end-to-end data systems and directly impact the teams ability to deliver insights and models that drive company profitability Do you enjoy collaborating in a diverse team environment

If yes then you may be a great fit to join the Amazon Selling Partner Trust & Store Integrity Science Team. We are looking for a talented data engineer who is passionate about building robust data platforms and pipelines that empower scientists to develop advanced machine learning systems helping manage the safety of millions of transactions every day and scaling up our operations with automation.

Key job responsibilities
DATA INFRASTRUCTURE & PIPELINE DEVELOPMENT
- Design build and maintain scalable data pipelines that support multiple ML model training and inference workflows
- Develop and optimize ETL processes to ingest transform and prepare terabytes of data from diverse sources for model consumption
- Implement robust data quality checks and monitoring systems to ensure data integrity across all pipelines

ML OPERATIONS SUPPORT
- Build and maintain infrastructure for model training pipelines including feature engineering data versioning and experiment tracking
- Design and implement scalable inference pipelines that serve predictions for millions of transactions with low latency and high reliability
- Collaborate with scientists to productionize ML models translating research code into production-ready systems

SYSTEM PERFORMANCE & RELIABILITY
- Optimize data processing workflows for cost efficiency and performance managing compute and storage resources effectively
- Implement monitoring alerting and logging systems to ensure pipeline reliability and quick issue resolution
- Maintain comprehensive documentation of data schemas pipeline architectures and operational procedures

CROSS-FUNCTIONAL COLLABORATION
- Partner closely with scientists to understand data requirements and translate them into technical solutions
- Work with stakeholders to define data SLAs and ensure systems meet business needs
- Provide technical guidance on data architecture decisions and best practices

- 3 years of data engineering experience
- 1 years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience
- 1 years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience
- 1 years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- 1 years of developing and operating large-scale data structures for business intelligence analytics using SQL experience
- 1 years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience
- Experience with data modeling warehousing and building ETL pipelines

- 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)

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 youre applying in isnt 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 WA Seattle - 132100.00 - 178800.00 USD annually

Required Experience:

Key Skills

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About Company

Amazon

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