remote
Senior Data Engineer - drivvn
Data Engineer
Lead the design and implementation of scalable data pipelines in a fast‑moving automotive SaaS environment, leveraging Python, SQL and AWS to deliver reliable, real‑time analytics for vehicle sales and leasing workflows.
About the role
Key Responsibilities
- Architect, develop and maintain end‑to‑end data pipelines that ingest, transform and load large volumes of automotive transaction data into cloud data warehouses.
- Collaborate with data scientists and product teams to define data models, schema and quality metrics that support real‑time analytics and reporting.
- Optimize pipeline performance using AWS services (Glue, Redshift, S3) and Python-based ETL frameworks, ensuring high availability and fault tolerance.
- Implement data governance, lineage and security best practices to protect sensitive customer and vehicle information.
- Mentor junior engineers, conduct code reviews and promote continuous improvement of data engineering processes.
Requirements
- 5+ years of experience in data engineering, with a strong background in Python and SQL.
- Proven expertise building scalable pipelines on AWS (Glue, Redshift, S3, Lambda).
- Experience with data modeling, ETL design, and performance tuning.
- Strong analytical mindset and ability to translate business requirements into technical solutions.
- Excellent communication skills and a collaborative approach to cross‑functional teams.