

Crossing Hurdles
Data Engineer | Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer, remote, with a contract length of over 6 months and a pay rate of $140K - $180K/year. Key skills include Python, SQL, ETL/ELT pipeline design, and experience with data manipulation libraries like Pandas and NumPy.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
818
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🗓️ - Date
July 21, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Scala #NumPy #Libraries #Data Science #Data Engineering #SQL Queries #Storage #Monitoring #Python #SQL (Structured Query Language) #Pandas #MySQL #Datasets #AI (Artificial Intelligence) #Data Quality #Data Manipulation #PostgreSQL #Databases #"ETL (Extract #Transform #Load)" #Data Pipeline #Automation
Role description
Position: Data Engineer
Type: Full-time
Compensation: $140K - $180K/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
Position: Data Engineer
Type: Full-time
Compensation: $140K - $180K/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






