Data Engineer – AWS Data Infrastructure (Austin)

Amazon Data Services, Inc.; Austin (TX); On-site; USD 132,000 - 179,000; Full time

Benefits offered by this job

Sign-on payments

Restricted stock units (RSUs)

Health insurance (medical, dental, and

Vision, prescription)

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Data Services, Inc. is seeking a Data Engineer to build and lead data infrastructure and pipelines within the Supply Chain Intelligence team.

The role focuses on delivering clean, actionable data for operational teams and collaborating with researchers, data engineers, BI engineers, and product managers. Responsibilities include designing scalable data systems, partnering across teams, and ensuring data quality and accessibility using AWS services such as Redshift, S3, Glue, EMR, and

Qualifications

• 3+ years of data engineering experience.
• Experience with data modeling, data warehousing, and building ETL pipelines.

Responsibilities

• Build and maintain infrastructure to answer data-driven questions using software engineering best practices, data management fundamentals, data storage principles, distributed systems advances, and operational excellence practices.
• Create datasets that analysts and data scientists use to generate actionable insights.
• Define data engineering processes that use multiple AWS services to improve accessibility, redundancy, data integrity, cost effectiveness, and storage requirements.
• Develop scalable solutions that support faster product and model development aligned to business needs, while anticipating future requirements.
• Partner with Research/Applied Scientists, Data Engineers, Business Intelligence Engineers, Data Scientists, Business Analysts, and Product/Program Managers to clarify business and technical requirements and support smoother program delivery.
• Work with other technology and data engineering teams to extract, transform, and load data from a wide range of sources using AWS data technologies.
• Lead the technical design and implementation of the data infrastructure.
• Design and manage data audit, quality, and reconciliation processes in collaboration with stakeholders.

Skills

Data modeling

Data warehousing

ETL pipelines

Distributed systems

Tools

AWS services

Amazon Redshift

Amazon S3

AWS Glue

Amazon EMR

Amazon Kinesis

FireHose

AWS Lambda

IAM

Object storage

Document stores

Key-value stores

Graph databases

Column-family databases

Job description

Amazon Data Services, Inc. is seeking a Data Engineer to build and lead data infrastructure and pipelines within the Supply Chain Intelligence team.

The role focuses on delivering clean, actionable data for operational teams and collaborating with researchers, data engineers, BI engineers, and product managers. Responsibilities include designing scalable data systems, partnering across teams, and ensuring data quality and accessibility using AWS services such as Redshift, S3, Glue, EMR, and