Full Job Description
Data Engineer, Selling Partner Trust
In this role, you will work on unifying fragmented data pipelines, building robust data models, and ensuring reliable data lineage across multiple product areas. You will partner closely with software engineers, product managers, and analytics teams to develop data solutions that drive innovation and operational excellence.
The ideal candidate brings deep expertise in big data technologies, strong data modeling and problem-solving skills, and a track record of delivering scalable, maintainable data systems. If you're excited by the challenge of shaping data platforms that support real-world hardware, software, and operations, this is the role for you.
A day in the life
-Architect and implement scalable, reliable, and secure data pipelines and infrastructure to support analytics, reporting, and business operations.
-Design and enforce data modeling standards, data lineage, and governance frameworks that ensure consistency, re-usability, and quality across systems.
-Lead design and code reviews, driving engineering best practices across data development, documentation, testing, and monitoring.
-Build data platforms and frameworks that support both batch and real-time processing, enabling flexible, efficient analytics at scale.
-Implement secure and compliant data solutions that meet internal and external regulatory requirements (e.g., GDPR).
-Evaluate and introduce emerging technologies to improve data platform performance, cost efficiency, and scalability.
-Collaborate with cross-functional teams to gather data requirements, define solution architectures, and ensure alignment with business needs.
-Mentor junior engineers and contribute to team hiring and onboarding
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 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
- 3+ years of in the job offered or a related occupation experience
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using each of the following: ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) processes experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
- Experience with data modeling, warehousing and building ETL pipelines
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)
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
