About the Role:

The Amazon Devices and Services FinTech (DaS FinTech) team is seeking a skilled Data Engineer to build and enhance financial planning and analysis systems that power Amazon’s Devices and Services lines of business—including Kindle, Echo, Fire TV, Ring, and Project Kuiper. This is an opportunity to work at the intersection of finance, data engineering, and large-scale system design while using Amazon’s extensive technological ecosystem.

The Team:

The DaS FinTech team operates globally, developing core financial applications and analytics solutions that support budgeting, forecasting, and performance management across multiple Amazon organizations. The group functions like embedded FinTech consultants within Amazon, tackling complex data, automation, and system integration challenges daily.

The Work You’ll Do:

You will design and implement next-generation financial platforms built around TM1 and AWS technologies. Your work will enhance data consistency, scalability, reporting automation, and system intelligence. From requirement gathering to deployment, you will own end-to-end development of data integration and reporting solutions that directly impact financial transparency, efficiency, and business performance.

Key Responsibilities:

• Design and develop high-scale financial data systems using TM1 and AWS services like Redshift, EMR, Lambda, and RDS.
• Build robust ETL pipelines and automate processes for improved data accuracy and scalability.
• Monitor and optimize performance of data pipelines across massive, multi-year datasets.
• Use SQL and data modeling techniques to ensure system flexibility and reliability.
• Document standards, create tutorials, and train teams on data best practices for global delivery.
• Deep dive into root causes of data issues and propose sustainable solutions.
• Implement new tools and automation capabilities that simplify self-service analytics for stakeholders.

Key Technical Skills:

SQL, ETL pipelines, Data modeling, Data warehousing, TM1, AWS Redshift, S3, Glue, EMR, Lambda, Step Functions, RDS, Kinesis, Firehose, IAM, Object storage, NoSQL databases, Python

Requirements:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline.
• Minimum 3 years of experience as a Data Engineer.
• At least 4 years of hands-on SQL programming experience.
• Strong experience in building data models and designing scalable ETL pipelines.
• Familiarity with AWS cloud services including Redshift, EMR, Lambda, Glue, and S3.
• Understanding of both relational and non-relational databases (e.g., key-value, document, graph, columnar).
• Strong problem-solving ability, attention to detail, and desire to innovate.
• Excellent communication and collaboration skills to work across technical and financial teams.