Energy Vault LLC
About The Role
We are seeking a highly skilled Data Engineer to join our growing team to support our foundational data engineering processes. In this role, youll build, implement, and manage our ML data ecosystem to support Zoos ML initiatives as we scale. The right candidate will have a strong background in Python programming, data integration, data warehousing, data munging/cleaning, and ETL for ML datasets. The ideal candidate will also have an understanding of Computer-Aided Design (CAD) with knowledge of the relevant data required for hardware design. What Youll Do
Develop and maintain automated processes for data collection from various sources Design and implement data warehousing solutions to store and manage large datasets Clean and pre-process data to ensure its quality and usability for ML models Create and manage ETL pipelines to transform raw data into structured datasets for ML applications Apply CAD knowledge to integrate and manipulate design data within our systems Collaborate with cross-functional teams to understand data requirements and deliver robust data solutions Continuously optimize and improve Zoos data workflows and processes What Youll Need
B.S. Computer Science or a related field, or equivalent professional experience Professional experience and demonstrated proficiency in Data Engineering Demonstrated proficiency with Python Knowledge of CAD and its integration with data systems Extensive experience working with CAD models and deep understanding of their design principles Expertise in data extraction, data warehousing, and data munging best practices Experience with Git Nice to Have Strong background in data analytics, statistics, and data visualization techniques Experience working on Generative AI applications Proficiency in Rust Proficiency with SQL
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We are seeking a highly skilled Data Engineer to join our growing team to support our foundational data engineering processes. In this role, youll build, implement, and manage our ML data ecosystem to support Zoos ML initiatives as we scale. The right candidate will have a strong background in Python programming, data integration, data warehousing, data munging/cleaning, and ETL for ML datasets. The ideal candidate will also have an understanding of Computer-Aided Design (CAD) with knowledge of the relevant data required for hardware design. What Youll Do
Develop and maintain automated processes for data collection from various sources Design and implement data warehousing solutions to store and manage large datasets Clean and pre-process data to ensure its quality and usability for ML models Create and manage ETL pipelines to transform raw data into structured datasets for ML applications Apply CAD knowledge to integrate and manipulate design data within our systems Collaborate with cross-functional teams to understand data requirements and deliver robust data solutions Continuously optimize and improve Zoos data workflows and processes What Youll Need
B.S. Computer Science or a related field, or equivalent professional experience Professional experience and demonstrated proficiency in Data Engineering Demonstrated proficiency with Python Knowledge of CAD and its integration with data systems Extensive experience working with CAD models and deep understanding of their design principles Expertise in data extraction, data warehousing, and data munging best practices Experience with Git Nice to Have Strong background in data analytics, statistics, and data visualization techniques Experience working on Generative AI applications Proficiency in Rust Proficiency with SQL
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