This Data Engineer role supports AWS MOTOR within the Supply Chain Intelligence team, focused on building data infrastructure and pipelines that enable reliable, actionable insights for operational stakeholders.
Role Overview
Working in the Supply Chain Intelligence team, you will build and lead data infrastructure across the supply chain to deliver clean data and dependable analytics outcomes. The work spans manufacturing operations, transportation operations, and reverse processes, with an emphasis on operational excellence and data that is ready for use by analytics and science partners.
Responsibilities
- Build and maintain data infrastructure that supports data-driven question answering, applying software engineering best practices, data management fundamentals, data storage principles, advances in distributed systems, and operational excellence practices.
- Create and support datasets used by analysts and scientists to produce actionable insights.
- Define data engineering processes that use AWS services to improve accessibility, redundancy, data integrity, and cost and storage effectiveness.
- Develop scalable solutions that support faster delivery of products and models aligned to business needs, while accounting for future requirements.
- Partner with Research/Applied Scientists, Data Engineers, Business Intelligence Engineers, Data Scientists, Business Analysts, and Product/Program Managers to clarify requirements and make technical decisions that support smoother execution.
- Interface with other technology and data engineering teams to extract, transform, and load data from a variety of sources using AWS data technologies.
- Lead technical design and implementation efforts for the data infrastructure.
- Design and manage data audit, quality, and reconciliation processes in collaboration with relevant stakeholders.
Required Qualifications
- 3+ years of data engineering experience
- Experience with data modeling, warehousing, and building ETL pipelines
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 such as object storage, document or key-value stores, graph databases, and column-family databases
Technologies
AWS services and related components, including Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM, plus object storage, document stores, key-value stores, graph databases, and column-family databases.
Team and Mission
This team provides data engineering and business intelligence engineering services to the rest of MOTOR. The group acts as data experts behind the scenes, helping operational teams focus on operations by ensuring accurate and timely data and by delivering business insights that support operational excellence.
Compensation and Location
- Location: Austin, TX (onsite)
- Salary: USD 132,100 - 178,800 per yearly
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- 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
- Parental leave
Learn more about benefits at https://amazon.jobs/en/benefits.
