The Data Engineer II position supports Amazon’s North America Sort Centers (NASC) NASC SPEeD team by building scalable data services and science-based planning tools for sortation products engineering and data. The role focuses on delivering high volume, low latency, and high availability capabilities using big data, machine learning, and optimization techniques.
Location and Compensation
Location: Bellevue, WA (onsite)
Salary: USD 132,100 - 178,800 per year
Role Summary
North America Sort Centers (NASC) are experiencing growth and are hiring skilled, highly motivated engineers for the NASC SPEeD (Sortation Products Engineering and Data) team. The Sort Center network functions as the critical Middle-Mile solution within Amazon Transportation Services (ATS), connecting Fulfillment Centers to the Last Mile.
The SPEeD team is expected to develop scalable solutions to handle increasing operational complexity driven by evolving processes, including containerization, heavy-bulky freight, international shipping, customer returns, and Amazon Robotics solutions. The mission is to build highly efficient and optimal sort center solutions using engineering and technology as key differentiators.
In this role, you will help leverage advanced big data, machine learning, and optimization techniques to create new services and experiences that improve usability as well as performance and scalability. As an initiative, the work provides an opportunity to influence future direction while collaborating with teams across Amazon and receiving guidance from principal product managers and senior engineers.
Responsibilities
- Develop scalable data solutions and science-based planning tools for sortation products engineering and data
- Create new services and experiences using big data, machine learning, and optimization techniques
- Build and operate high volume, low latency, high availability data services
- Work with new technologies to improve usability, performance, and scalability
- Collaborate with a range of Amazon teams and services
Required Qualifications
- Experience with data modeling, warehousing, and building ETL pipelines
- 3+ years of data engineering experience
- Bachelor’s degree
Preferred Qualifications
- Experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases and data stores, including object storage, document or key-value stores, graph databases, and column-family databases
Technology Stack
- Amazon Redshift
- Amazon S3
- AWS Glue
- Amazon EMR
- Amazon Kinesis
- FireHose
- AWS Lambda
- IAM roles and permissions
- Object storage
- Document stores
- Key-value stores
- Graph databases
- Column-family databases
Benefits
- Medical, Dental, and Vision Coverage
- Maternity and Parental Leave Options
- Paid Time Off (PTO)
- 401(k) Plan and 401(k) matching
- Basic Life & AD&D insurance
- Option for Supplemental life plans
- EAP
- Mental Health Support
- Medical Advice Line
- Flexible Spending Accounts
- Adoption and Surrogacy Reimbursement coverage
- Paid time off
- Parental leave
Education
Bachelor’s degree