Data Engineer - Temporary

• Design, build, and maintain scalable data architectures and systems, including data lakes
• Architect and optimize ETL/ELT pipelines for seamless data ingestion and transformation from multiple data sources
• Develop and enforce data governance and quality assurance standards to ensure data accuracy, integrity, and consistency across systems
• Build and maintain production-ready data lake pipelines that transform raw data into ML-ready features, training datasets, and reliable batch predictions

This role supports the transition to autonomous and electric vehicles by building data infrastructure that enables reliable, cost-effective charging solutions for fleets, contributing to sustainable transportation infrastructure.

• Bachelor’s degree in Computer Science, Data Engineering, or a related field
• 3+ years of experience in data engineering, with a focus on data architecture
• Proficiency in designing and implementing data warehouses, databases, and data lakes
• Experience with cloud platforms such as AWS, GCP, or Azure for data storage and processing
• Expertise in SQL and proficiency with NoSQL databases (e.g., MongoDB)
• Strong knowledge of ETL/ELT processes and tools (e.g., databricks, Airflow, or AWS Glue)
• Hands-on experience with Big Data technologies like Hadoop, Spark, or Kafka

No specific compensation, perks, or culture highlights mentioned in the job description.

Terawatt Infrastructure delivers large-scale, turnkey charging solutions for autonomous and electric vehicle fleets, developing, financing, owning, and operating charging infrastructure to support the transition to next-generation transport.