Crossing Hurdles
Position: Data Engineer Type: Full-time Compensation $80K - $150K/yr Location: Remote Role 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. Application Process: Easy Apply on LinkedIn Check email for next steps Participate in resume evaluation & interview stage
Crossing Hurdles
