Data Engineer II, R2L Infrastructure

The Rapid and Rural Logistics (R2L) org is seeking an exemplary Data Engineer with broad technical skills to develop, own and support pipelines that back business analytics, to build tools that facilitate orchestration, and to produce automation scripts that optimize infrastructure. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.

We are looking for someone with preferred experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and bedrock. Experience working independently and completing end-to-end projects. Knowledge of professional software engineering and best practices for the full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

Main responsibilities of this role include but are not limited to:

• Manage and grow a database infrastructure

• Develop automation solutions through programming languages

• Collect and convert functional and business requirements into solutions that are operable, scalable, and well-suited to the overall organization.

• Determine best practices for creating data lineage from a range of data sources by analyzing source data systems.

• Engage in all phases of the development life cycle, including design, implementation, testing, delivery, documentation, support, and maintenance.

• Design and implement proof-of-concept pilots leveraging generative AI technologies

• Develop reference architectures and technical guidelines for AI feature integration

• Build AI-enabled knowledge management frameworks and tools

• Collaborate with teams across Amazon to share learning and stay current with AI developments

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
• Experience with data modeling, warehousing and building ETL pipelines
• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

Preferred Qualifications

• 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, 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, Bellevue - 132,100.00 - 178,800.00 USD annually