Data Engineer

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

This Data Engineer role is part of AWS MOTOR (Manufacturing Operations, Transportation Operations, and Reverse) within the Supply Chain Intelligence team. The position focuses on building and leading data infrastructure and pipelines that deliver clean, actionable data for operational teams.

Role 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.

Required Qualifications

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

Technology Stack

• 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

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 and data stores including object storage, document or key-value stores, graph databases, and column-family databases

Compensation and Location

Location: Austin, TX (onsite)

Salary: USD 132,100 - 178,800 per year

Minimum experience: 3 years

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• 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 coverage
• 401(k) matching
• Paid time off
• Parental leave

Learn more about benefits at https://amazon.jobs/en/benefits.

About the Team

This team delivers data engineering and business intelligence engineering services to the rest of MOTOR. The team provides data expertise behind the scenes so operational teams can focus on operations, supported by accurate, timely data and business insights that improve operational excellence.