AmazonData Engineer II, Creator Services
Amazon is hiring a Data Engineer II, Creator Services in Culver City, United States. It pays $132k-$179k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this data engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Bedrock, AWS and Redshift.
- Level classifies it as a mid-level role.
- Level lists 22,000+ other open roles at Amazon.
AI in this role
Build and maintain production-grade ETL pipelines, data models, and AWS data platforms that underpin AI initiatives for Creator Services.
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
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
How we rate this
Data Engineer II, Creator Services at Amazon rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data engineer jobs at this level
Pay
- This job starts at
- $132k
- Typical data engineer job
- $150k
This posting starts 12% below the typical data engineer job. See data engineer jobs
Questions you could be asked
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where etl was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where sql was part of your work. What did you do?
- Tell me about a project where data warehousing was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Engineering, ETL, Data Modeling, SQL, and Data Warehousing. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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