Data Engineer
3d Design Tools
Amazon Web Services
AWS
Aws Data Engineering
Aws Data Services
Aws Data Warehouse
Aws Glue
Aws Iam
Big Data
Bigdata
Cloud
Cloud Computing
Cloud Data Engineering
Cloud Data Warehouse
Cloud Data Warehouse
Cloud Platforms
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Lake
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Database
Databases
EMR
ETL
Informatica
Integration
IT Services
Rendering Engines
SQL
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.
Similar Jobs
