Data Engineer, Amazon Customer Service

Amazon's Customer Service (CS) organization is looking for a Data Engineer II to design, build, and optimize data solutions that power analytics and decision-making across our business. You will work on significant datasets and mid-size data solutions within the team's architecture, creating coherent logical data models and data pipelines that drive self-service access to data.

As a Data Engineer, you will independently own data design end-to-end — from ingesting and modeling semi-structured and structured data to building performant, well-tested pipelines that serve business-critical reporting and analytics use cases. You'll partner with SDEs, BIEs, Data Scientists, and Product Managers to understand data needs, propose solutions, and deliver datasets that enable stakeholders to make data-driven decisions.

Key job responsibilities - Design and implement logical and physical data models for complex datasets, driving downstream analytics and self-service BI infrastructure

- Build and optimize data pipelines (ETL/ELT) for difficult and large-scale datasets using technologies such as AWS Glue, Spark, Redshift, and EMR

- Own ongoing data quality — establish SLAs, define data certification, and build monitoring/alerting for pipeline health

- Improve self-service access to data; build tools for data lineage tracking, discoverability, and governance

- Automate manual processes and improve code quality, dependency management, and operational excellence

- Partner with SDEs and other engineers to integrate data solutions into broader team architecture

- Balance customer requirements with team technical strategy and long-term maintainability

- Mentor and develop peers; participate in hiring and technical assessments

Basic Qualifications: - 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 SQL experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field

Preferred 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)

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 - 132,100.00 - 178,800.00 USD annually