Are you ready to shape the future of mobility and smart transportation? Amazon Smart Vehicles is looking for a skilled Data Engineer to build scalable data infrastructure that drives innovation and enables real-time business insights in one of the world’s largest and most complex data environments.
- Company: Amazon
- Job ID: 2997415
- Location: Sunnyvale, California, USA
- Department: Smart Vehicles – Systems, Quality, & Security Engineering
- Job Type: Full-time
- Salary: $91.2K/ yr – $185K/ yr
What You’ll Do:
- Design and develop optimal data pipelines for ETL using SQL, Python, and AWS big data services
- Integrate data from diverse sources and curate datasets for analytics, reporting, and ML use cases
- Implement scalable, secure, and high-performance solutions across large datasets
- Collaborate with data scientists, software developers, and BI engineers on cross-functional projects
- Monitor, debug, and optimize data workflows and infrastructure
Basic Qualifications
- 1+ years of professional data engineering experience
- Proficiency with SQL and scripting languages (e.g., Python, KornShell)
- Experience with data modeling, ETL pipelines, and warehouse systems
- Familiarity with query languages such as HiveQL, PL/SQL, SparkSQL
- Bachelor’s degree in Computer Science or related field
Preferred Qualifications
- Experience with AWS services: Redshift, S3, Glue, Kinesis, Firehose, EMR, Lambda
- Hands-on with Hadoop, Spark, Hive, or other big data tools
- Knowledge of IAM, data governance, and secure infrastructure design
- Background in vehicle data, IoT, or mobility systems is a plus
Why Amazon Smart Vehicles?
- Opportunity to work on cutting-edge smart vehicle technologies
- Exposure to high-scale, high-volume data systems using AWS
- Collaborate with some of the brightest minds in cloud, analytics, and mobility
- Competitive salary, RSUs, and world-class benefits
Note: Amazon is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, gender, disability, veteran status, or other protected categories.
Also View: Top Data Engineering Jobs in USA.
