Data Engineer | Remote
Crossing Hurdles
full-remotemidpermanentbackend United States 49 days ago via LinkedIn
80,000 - 150,000 USD/annual
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Data EngineeringETL/ELTPythonSQLPandasNumPyData ModelingData PipelinesPostgreSQLData Validation
About the role
Data Engineer (Remote)
Type: Full-time
Compensation: $80K - $150K/year
Location: Remote (United States)
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 for extraction, transformation, and analysis.
- Ensure data quality, integrity, and reliability across pipeline and storage layers.
- Implement data validation, monitoring, and automation workflows that support iterative research cycles.
Requirements
- Strong proficiency in Python and SQL.
- Experience designing and maintaining ETL/ELT pipelines.
- Solid experience with data manipulation libraries: Pandas and NumPy.
- Experience with structured and semi-structured datasets.
- Familiarity with relational databases such as PostgreSQL or MySQL.
Application Process
- Apply via Easy Apply on LinkedIn.
- Complete resume evaluation and then an interview stage (details sent by email).
About Crossing Hurdles
Crossing Hurdles is a technology-focused organization working with AI researchers and data scientists. The team builds data infrastructure to ingest, transform, and prepare datasets that support experimentation and model training.
Scraped 6/11/2026