Senior Data Engineer, WWFBA Analytics & Engineering

World Wide Fulfillment by Amazon (FBA) enables sellers to outsource order fulfillment to Amazon, leveraging our world-class supply chain and technology to provide customers with the fastest delivery promises and seamless returns. Sellers gain access to Prime and non-Prime customers globally while focusing on their core business.

The WWFBA Analytics & Engineering team, part of the FBA Insights & Planning organization, is dedicated to building centralized analytics and data engineering infrastructure for FBA business. Our mission is to deliver scalable data solutions that unify sources of truth, bridge gaps, and reduce operational complexity. We drive incremental improvements while advancing towards long-term strategic goals.

We are seeking an exceptional Senior Data Engineer who is data-driven, detail-oriented, and passionate about solving complex problems. You will collaborate with a diverse team of software engineers, data engineers, and analysts to build a truly global data lake and infrastructure using advanced technologies, including Spark, Ray, DBT, and AWS technologies to enhance performance and efficiency.

As a key member of our team, you will:

- Lead the design and implementation of scalable data pipelines and storage solutions.

- Partner with cross-functional teams, including product managers, program managers, business intelligence engineers (BIEs), and business leaders.

- Drive technical innovation and best practices for data engineering and analytics.

- Develop an AI-powered insights platform to enhance the accuracy and speed of insights generation for the FBA business.

- Collaborate with regional FBA, Finance, and Retail teams to ensure seamless data integration and consistency.
This role requires exceptional analytical thinking, problem-solving skills, and a demonstrated ability to work through ambiguity. You’ll have the opportunity to influence decision-making across WWFBA by providing reliable, actionable insights.

If you're eager to work with large-scale global datasets, explore new technologies, and contribute to the future of FBA, we’d love to hear from you. Reach out to schedule an informational chat with the hiring manager.- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- 5+ years of data engineering, database engineering, business intelligence or business analytics experience
- 4+ years of experience in developing and operating large-scale ETL/ELT processes, data modeling, and database management.
- 4+ years of coding experience in modern programming or scripting languages (e.g., Python, Scala, Java, C#, PowerShell).
- 4+ years of experience working with relational databases (e.g., Redshift, Oracle, Postgres, SQL Server).
- 4+ years of experience in building and maintaining highly available, distributed systems for large-scale data extraction, ingestion, and processing.
- Advanced SQL skills with a strong focus on query performance optimization.
- Hands-on experience with massively parallel processing (MPP) data technologies (e.g., Redshift, Spark, Hadoop).
- Proficiency with Python-based data analysis libraries (e.g., Pandas/Polars).- Master’s or PhD in Computer Science, Engineering, Mathematics, or a related field.
- Experience in building data products incrementally and integrating datasets from multiple sources.
- Proven expertise in managing large-scale data environments (e.g., data lakes, lakehouses, or data warehouses).
- Strong SQL query performance tuning skills using Unix/Linux profiling tools.
- Proficiency with AWS services (e.g., SNS, Redshift, RDS, S3, EC2, Athena, Glue, Lambda, SageMaker, EventBridge, CloudWatch Logs, SQS, Route 53).
- Experience with data visualization using BI platforms (e.g., Tableau, Power BI, QuickSight).

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.