Data Engineer: AWS Data Platform & AI Analytics

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

Job summary

Amazon Music in Culver City is seeking a Data Engineer to design, build, and own the data infrastructure powering analytics and science for the DISCO Finance team. You will partner with data scientists, Finance managers, and cross-functional teams to scale data pipelines on AWS and deliver reliable datasets for modeling and reporting.

You will shape the data warehouse, automate ETL/ELT processes, and develop BI dashboards and AI-enabled insights using EMR and SageMaker.

Qualifications

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

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.

Skills

Data engineering

Data modeling

ETL pipelines

SQL

PySpark

Airflow

Education

Bachelor’s degree

Tools

Redshift

S3

AWS Glue

EMR

Kinesis

IAM

SageMaker

CDK

Job description

Amazon Music in Culver City is seeking a Data Engineer to design, build, and own the data infrastructure powering analytics and science for the DISCO Finance team. You will partner with data scientists, Finance managers, and cross-functional teams to scale data pipelines on AWS and deliver reliable datasets for modeling and reporting.

You will shape the data warehouse, automate ETL/ELT processes, and develop BI dashboards and AI-enabled insights using EMR and SageMaker.