Data Engineer

- 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
- 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
Amazon's vision is a world where opportunities to grow, thrive, and connect are available to everyone. We invest in technology that helps employees build new skills, access support, and find community — from personalized onboarding to upskilling and professional development. We're looking for an exceptional Data Engineer to help deliver on that commitment at scale.

The Growth and Onboarding tech team builds the platform that powers personalized onboarding and development experiences for Amazonians worldwide. Our growth requires engineers who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems. Your pipelines will directly shape how millions of employees discover upskilling opportunities, professional development programs, and career advancement pathways.

The successful candidate will be a self-starter, comfortable with ambiguity, and able to design and maintain efficient, automated data architectures from the ground up. They know and love working with data engineering tools, can model multidimensional datasets, and can partner effectively with BI Engineers, Data Scientists, and Learning Scientists to build the right pipelines to answer key questions about how people learn and grow at Amazon. They will build efficient, flexible, extensible, and scalable data models, ETL designs, and data integration services. They will also own the full lifecycle of these solutions: design, development, documentation, testing, and operations.

This is a greenfield platform with high visibility to senior leadership and high opportunity for impact for those willing to roll up their sleeves and dive deep. You will set the technical bar for data quality and reliability on a system that touches the career trajectory of every Amazonian. We're working hard, having fun, making history. Come join us!

Key job responsibilities
Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
Contribute to the architecture and implementation of next generation data solutions from the ground up.
Manage AWS resources including S3, Athena, Batch, lambda etc.
Optimize automated processes for performance and fault tolerance.
Optimize support for ad-hoc analysis across various data sources
Collaborate with BI Engineers, Software Engineers, and cross-functionally to deliver high quality data architecture and pipelines.
Make large and/or complex data more accessible, understandable and usable by applications and teams.