Data Engineer II, Creator Services

Amazon Inc.; Culver City (CA); On-site; USD 132,000 - 179,000; Full time

Job summary

Amazon.com Services LLC is seeking a Data Engineer to join the Creator Services Data & Tech team in Culver City, CA. You will design and build robust ETL/ELT pipelines, curate data models, and own data platform components to empower analytics and AI initiatives across Amazon's creator ecosystem.

The role emphasizes production-grade data systems, collaboration with BI engineers and stakeholders, and applying AWS technologies like Redshift, S3, Glue, and Lambda to scale data products.

Qualifications

• 3+ years of data engineering experience.
• Bachelor's degree.
• 3+ years of data warehouse architectures, data modeling, ETL/ELT and reporting/analytic tools, and hands-on SQL coding.
• Experience with database, data warehouse or data lake solutions.

Responsibilities

• 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 self-service analytics and AI initiatives.
• Drive end-to-end ownership of data platform components from design to deployment and incident response.
• Leverage AWS services to build scalable and cost-efficient data platforms.
• Translate data needs into technical solutions with cross-functional stakeholders.

Skills

SQL

ETL/ELT

Data modeling

Data warehousing

Education

Bachelor's degree

Tools

Redshift

S3

Glue

Lambda

ECS

Job description

Job ID: 10495351 | Amazon.com Services LLC

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. We are seeking a skilled Data Engineer to join our Data & Tech team in building robust, production-ready systems that drive creator monetization at scale. Operating at the intersection of data and software engineering, you will collaborate with Business Intelligence engineers and cross-functional business stakeholders to standardize and curate datasets that underpin AI-driven initiatives and self-service analytics capabilities. You will also design and build internal tools and software that automate workflows, improve data accessibility, and accelerate creator monetization outcomes. This role sits within the Creator Services data and tech team, and also supports the Creator Ad Partnerships team.

Key job responsibilities

• 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

Basic Qualifications

• 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

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)
• 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
• 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 .

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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