Data Engineer II, Creator Services

Amazon’s Creator Services leads creator programs that span media, commerce, and culture. The Creator Services team includes Creator Partnerships, creator content studio Wondery, and physical production facilities Studio126. We connect creators and Amazon’s diverse businesses, helping bring big ideas to life across Wondery, Amazon Music, Twitch, Audible, Amazon Games, and beyond. Join us in making Amazon the home for creators., Design, build, and maintain production-grade ETL/ELT pipelines that process data at scale with high reliability and performance

• Architect and curate data models, warehouses, and dimensional schemas that serve as the foundation for self-service analytics and AI initiatives

• Drive end-to-end technical ownership of data platform components - from system design and architecture reviews to deployment, monitoring, and incident response

• Leverage AWS services - including Redshift, S3, Glue, Lambda, ECS, DynamoDB, and Bedrock - to build scalable and cost-efficient data platforms

• Partner with BI engineers, program managers, and business stakeholders to translate data needs into technical solutions, while advocating for data engineering best practices across the team

3+ years of data engineering experience

• Bachelor’s degree
• 3+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
• Experience with database, data warehouse or data lake solutions, 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)
• Strong foundation in data governance, access controls, and compliance standards (e.g., IAM least-privilege, data classification, security certifications)
• Demonstrated ability to provide technical leadership and advocating for data engineering best practices across cross-functional teams
• Skilled at designing and building internal tools, APIs, or software applications that serve data products or automate business processes
• Experience applying AI/ML technologies (e.g., large language models, generative AI, or predictive modeling) to data engineering or automation use cases

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, CA, Culver City - 132,100.00 - 178,800.00 USD annually