remote
Manager, Data Engineering - Toyota North America
Software Engineer
Lead a high‑performing data engineering team to design, build, and maintain scalable data pipelines and analytics platforms using Python, Spark, SQL, and AWS services, driving data‑driven decision making across the organization.
About the role
Key Responsibilities
- Lead the design, development, and deployment of large‑scale data pipelines and data lake solutions on AWS.
- Mentor and grow a team of data engineers, fostering best practices in coding, testing, and documentation.
- Collaborate with data scientists, product managers, and business stakeholders to translate requirements into robust data architectures.
- Ensure data quality, governance, and security across all data assets.
- Optimize performance and cost of data processing workflows, leveraging Spark, SQL, and other big‑data technologies.
Requirements
- 5+ years of experience in data engineering, with 2+ years in a managerial or lead role.
- Proficiency in Python, SQL, and Apache Spark for data processing.
- Hands‑on experience with AWS services such as S3, Redshift, Glue, EMR, and Lambda.
- Strong understanding of ETL/ELT patterns, data modeling, and data governance.
- Excellent communication skills and a proven ability to lead cross‑functional teams.
Skills
pythonsqlapache sparkaws