Data Engineer | Remote

Crossing Hurdles is seeking a Data Engineer to design, build, and maintain scalable data pipelines. The role involves collaborating with AI researchers and data scientists, developing data models, and ensuring data quality across pipelines.

Responsibilities:

• Design, build, and maintain scalable data pipelines to ingest, process, and transform data from multiple sources
• Collaborate with AI researchers and data scientists to structure and prepare datasets for experimentation and model training
• Develop and maintain data models, schemas, and storage systems optimized for large-scale datasets
• Write efficient SQL queries and Python scripts to extract, transform, and analyze data
• Ensure data quality, integrity, and reliability across data pipelines and storage layers
• Implement data validation, monitoring, and automation workflows that support iterative research cycles

Requirements:

• Have strong proficiency in Python and SQL
• Have experience designing and maintaining ETL / ELT pipelines
• Have solid experience with data manipulation libraries such as Pandas and NumPy
• Have experience working with structured and semi-structured datasets
• Be familiar with relational databases such as PostgreSQL or MySQL