Data Engineer, WW Ops Finance S&A

This onsite role in Bellevue, WA offers a competitive total compensation package, including a salary range of USD 132,100 to 178,800 per year, comprehensive health benefits, 401(k) matching, paid time off, and parental leave. You will join the WW Ops Finance Standardization & Automation team to design scalable data infrastructure, ETL pipelines, and analytics platforms for Operations Finance customers at Amazon.

Responsibilities

• Design, build, and maintain complex data solutions and ETL pipelines using Python, Spark, SQL, and AWS services (S3, Glue, Redshift, MWAA, EMR, Lambda)
• Develop data architecture and scalable pipelines to support customer reporting needs, while implementing and supporting analytics infrastructure for internal Finance customers
• Interface with technology teams to extract, transform, and load data from various sources, ensuring data quality and balancing design trade-offs
• Collaborate with business users, developers, and BI Engineers to deliver on data architecture projects and next generation financial solutions
• Participate in code reviews, design discussions, and team planning, while improving reporting processes and enabling self-service support
• Identify process improvements to drive innovation, scale existing solutions, and create new ones based on stakeholder needs
• Diagnose and resolve operational issues through detailed root cause analysis, maintaining high availability and reliability

Requirements

• 3+ years of data engineering experience
• Experience with data modeling, warehousing, and building ETL pipelines
• Bachelor's degree
• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
• Knowledge of distributed systems as it pertains to data storage and computing

Technologies

• Python
• Spark
• SQL
• MWAA
• EMR
• S3
• Glue
• Redshift
• Lambda
• Airflow
• AWS CodeDeploy
• AWS CodePipeline
• AWS Cloud Development Kit (CDK)
• AWS CloudFormation
• IAM
• CloudWatch
• Java
• Scala
• NodeJS
• Kinesis
• FireHose

Benefits

• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement)
• 401(k) matching
• Paid time off
• Parental leave

About the Team

The Operations finance data ecosystem supports global data management solutions, scaling to support 10+ data producer teams and 2500 finance customers. The role will collaborate with BIE and DE teams across the organization to identify critical customer pain points and help design, implement, and drive the data journey. In the era of AI capabilities, the role will identify mechanisms to incorporate AI driven workflows for both builders and customer communities.

Preferred Qualifications

• Experience with AWS technologies such as 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)
• Experience building large-scale, high-throughput, 24x7 data systems