Data Engineer, Amazon Music, Amazon Music Finance

Amazon is hiring a Data Engineer, Amazon Music, Amazon Music Finance 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 Little AI ●○○○: aI is not part of the work.
The posting mentions SageMaker, AWS and Cdk among its tools and skills.
Level classes it as a mid-level role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Design and build data infrastructure and pipelines to power Amazon Music finance analytics and predictive models.

SageMakerAWSCdkSQLPySparkAirflow

ai-agents

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at https://www.amazon.com/music.

The Data, Insights, Science and Optimization, Finance (DISCO Finance) team is looking for a Data Engineer to join a team of Data Scientists, Business Intelligence Engineers, and Data Engineers who analyze data at scale and build the models and algorithms that power the Music product experience. DISCO Finance accelerates Amazon Music customer growth by empowering Product teams to make customer-centric decisions through data and insights. We build the data pipelines, self-service analytics, and predictive models that enable acquisition, engagement, and retention at scale.

In this role, you will design, build, and own the data infrastructure and pipelines that power the team's analytics and science, and partner with stakeholders across marketing, growth, product, science, and finance to scale those capabilities. The ideal candidate builds reliable large-scale data solutions, prioritizes across competing stakeholders and projects, and thrives in a fast-paced, dynamic environment.

Key job responsibilities
• Partner with cross-functional teams — data scientists and Finance managers — to architect a modern data analytics platform on AWS using the Cloud Development Kit (CDK).
• Build resilient, scalable data pipelines with SQL, PySpark, and Airflow to ingest, process, and transform large data volumes from diverse sources into structured, high-quality datasets.
• Design and implement a scalable data warehousing solution on AWS, using the appropriate NoSQL and SQL storage and database technologies for structured and unstructured data.
• Build a consolidated data model that serves as the single source of truth, so metric logic is defined and changed once rather than patched across disconnected jobs.
• Automate ETL and ELT processes to streamline data integration across sources and improve platform reliability and efficiency.
• Own the business intelligence layer end to end: build the data models, metrics, dashboards, and interactive reports that deliver actionable insights to Finance managers and other end users.
• Build AI and generative AI infrastructure that automates recurring Finance reporting and process work, using tools such as EMR and SageMaker to extract predictive and prescriptive insights.
• Build AI agents and agentic infrastructure that let Finance managers self-serve their questions and analytics, reducing ad hoc reporting requests.
• Build KPI and ETL job-monitoring systems with freshness SLAs, anomaly detection, and lineage tracking, so business-critical reports arrive on time and data access stays low-latency for analytics and machine learning.
• Partner with the central infrastructure team to drive infrastructure enhancements for Finance-specific use cases.
• Implement robust security measures and ensure data compliance with internal requirements, industry standards, and regulations to protect sensitive information.
• Work closely with data scientists and Finance managers to understand their reporting and analytics requirements and translate them into platform capabilities.
• Produce clear technical documentation covering the platform's architecture, data models, and APIs to support knowledge sharing and maintainability.

Basic qualifications

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Bachelor's degree

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)

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
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually

How we rate this

Data Engineer, Amazon Music, Amazon Music Finance at Amazon rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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.

Key facts

Data Engineer, Amazon Music, Amazon Music Finance is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $132k-$179k a year.
The role is based in US, CA, Culver City.
The job was posted on September 22, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsSageMakerAWSCdkSQLPySparkAirflow

Also common in data engineer jobs at this level

Python Azure Databricks Google Cloud Snowflake Java

Pay

This job starts at: $132k
Typical data engineer job: $145k

This posting starts 9% below the typical data engineer job. See data engineer jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through how you've used SageMaker in your day-to-day work.
What are the limits of AWS that you've run into, and how did you work around them?
What's a project where you used Cdk hands-on?
Walk me through how you've used SQL in your day-to-day work.

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List these exact terms on your resume: AI agents, SageMaker, AWS, Cdk, and SQL. 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.

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