Data Engineer, Amazon Music, Amazon Music Finance

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Music is seeking a Data Engineer to join the DISCO Finance team, building scalable data infrastructure and pipelines on AWS, and partnering with data scientists, BI engineers, and finance to power analytics and machine learning across the Music product.

You will design and own data platforms, implement ETL/ELT, and deliver data models and reports for insights from Culver City, CA, onsite. Requires 3+ years of experience and a Bachelor's degree.

Qualifications

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

Responsibilities

• Engage with cross-functional teams to architect a scalable data analytics platform on AWS.
• Ingest, process, and transform large data volumes with SQL/PySpark/Airflow.
• Design and optimize data warehousing solutions on AWS for structured and unstructured data.
• Automate ETL/ELT processes and deliver actionable BI insights.
• Support advanced analytics, ML, and generative AI capabilities on the platform.
• Ensure data security and compliance across data pipelines and storage.

Skills

Data engineering experience

Data modeling

Data warehousing

ETL pipelines

Education

Bachelor's degree

Tools

AWS Redshift

AWS S3

AWS Glue

EMR

Kinesis

IAM

Job description

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

• Engage in collaborative efforts with cross‑functional teams — data scientists, business intelligence engineers, and Finance Managers — to architect a state‑of‑the‑art data analytics platform on AWS using the AWS Cloud Development Kit (CDK).
• Construct resilient and scalable data pipelines using SQL/PySpark/Airflow to ingest, process, and transform substantial data volumes from diverse sources into a structured format, ensuring data quality and integrity.
• Devise and implement an efficient, scalable data warehousing solution on AWS, utilizing appropriate NoSQL/SQL storage and database technologies for both structured and unstructured data.
• Automate ETL/ELT processes to streamline data integration from diverse sources, enhancing the platform's reliability and efficiency.
• Develop data models to support business intelligence, delivering actionable insights and interactive reports to end‑users.
• Enable advanced analytics, machine learning, and generative AI capabilities within the platform, extracting predictive and prescriptive insights through tools like EMR and SageMaker.
• Continuously monitor and optimize the performance of data pipelines, databases, and applications, ensuring low‑latency data access for analytics and machine learning tasks.
• Implement robust security measures and ensure data compliance with internal requirements, industry standards, and regulations to safeguard sensitive information.
• Collaborate closely with data scientists, business intelligence engineers, and Finance Managers to understand their requirements and partner on data projects.
• Generate comprehensive technical documentation covering the platform's architecture, data models, and APIs, promoting knowledge sharing and ease of 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