Data Engineer, Data : Science Engineering, AWS Marketing, Data : Science Engineering, AWS Marketing

As a Data Engineer at AWS, you will be working in a large, extremely complex and dynamic data warehousing environment. You will integrate multiple heterogeneous data sources with the AWS Marketing Data Warehouse – Jarvis and build efficient, flexible, and scalable data warehouse and reporting solutions. You will design, implement, and operate stable, scalable, low‑cost solutions to flow data from production systems into the data warehouse and into end‑user facing reporting applications.

You will work closely with business owners to develop and define key business questions, build the data sets that answer those questions, and provide high‑quality datasets for business analysts and customer reporting needs.

• Design, implement, and support a platform providing ad‑hoc access to large datasets.
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL.
• Build robust and scalable data integration (ETL) pipelines using SQL, Python, and AWS services such as Data Pipelines and Glue.
• Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL/Redshift.
• Interface with business customers, gathering requirements and delivering complete reporting solutions.
• Build and deliver high quality datasets to support business analyst and customer reporting needs.
• Continually improve ongoing reporting and analysis processes, automating or simplifying self‑service support for customers.

• Bachelor's degree.
• 3+ years of data engineering experience.
• 2+ years of developing and operating large‑scale data structures for business intelligence analytics (using ETL/ELT processes).
• 2+ years of developing and operating large‑scale data structures for business intelligence analytics using OLAP technologies.
• 2+ years of developing and operating large‑scale data structures for business intelligence analytics using data modeling.
• 2+ years of developing and operating large‑scale data structures for business intelligence analytics using SQL.

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Fire Hose, 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, please visit (Use the "Apply for this Job" box below). for more information.

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.

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USA, WA, Seattle -  -  USD annually