Data Engineer II, Intl. Seller Services

Amazon; Seattle (WA); On-site; USD 132,100 - 178,800; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

RSUs

Life &AD&D insurance

Job summary

Amazon’s ISS Central Analytics Data Engineering team seeks an experienced Data Engineer to design and build next-generation data and ML infrastructure powering GenAI applications. You will work with engineers, Applied Scientists, Data Scientists, and Economists to convert ML research into scalable analytics products.

You will lead data initiatives, design robust data architectures, and implement scalable ingestion pipelines using AWS services, ensuring high availability, security, and cost

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, Mathematics, or related field.
• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• 1+ years developing and operating large-scale data structures for BI analytics, including ETL/ELT, OLAP, SQL, and Oracle.
• 3+ years of non internship data engineering experience.

Responsibilities

• As a Data Engineer, provide technical leadership and lead data engineering initiatives.
• Build end-to-end analytical solutions that are highly available, scalable, and cost-effective.
• Collaborate with Applied Scientists, Data Scientists, and Economists to turn ML/AI research into scalable products.
• Design, implement, and operate large-scale, high-volume data structures for analytics and data science.
• Implement data ingestion routines using ETL/ELT best practices with AWS technologies.
• Gather business requirements and translate into robust, scalable data architectures.

Skills

Data Engineering

SQL

ETL/ELT

AWS

Data Modeling

Big Data

Education

Bachelor's degree in CS/Engineering or related field

Tools

Redshift

S3

AWS Glue

EMR

Kinesis

Firehose

Lambda

Job description

Description

Come be part of Amazon’s International Seller Services (ISS) Central Analytics Data Engineering team, where we tackle modern data challenges by combining traditional engineering practices with transformative analytics and Generative AI.

ISS is seeking a highly motivated, experienced Data Engineer to help design and build the next generation of Data and ML infrastructure to power GenAI applications.

We are a team of Data Engineers working closely with Applied Scientists, Data Scientists, and Economists—turning machine learning, deep learning, and AI research into scalable products that delight our customers worldwide.

Key Job Responsibilities

As a Data Engineer, you will provide technical leadership, lead data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective.

You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long term view on architecting advanced data eco systems.

You are experienced in building efficient and scalable data services and have the ability to integrate data systems with AWS tools and services to support a variety of customer use cases/applications.

Design, implement and operate large‑scale, high‑volume, high‑performance data structures for analytics and data science.

Implement data ingestion routines using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools.

Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.

Collaborate with engineers to help adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation.

Identify opportunities in existing data solutions for improvements.

Basic Qualifications

• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field.
• 3+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• 1+ years developing and operating large-scale data structures for business intelligence analytics, including each of: ETL/ELT processes, OLAP technologies, data modeling, SQL, and Oracle.
• 3+ years of non internship data engineering experience.

Preferred Qualifications

• Experience with AWS technologies like 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).

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.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually