Crossing Hurdles
Data Engineer | Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of over 6 months, offering $140K - $180K/year. Key skills include Python, SQL, ETL pipeline design, and experience with PostgreSQL and MySQL. Work is remote, requiring 10-40 hrs/week.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
818
-
🗓️ - Date
August 20, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#NumPy #Scala #"ETL (Extract #Transform #Load)" #Python #MySQL #Libraries #Data Science #SQL Queries #Data Engineering #Databases #Database Schema #PostgreSQL #Data Extraction #Pandas #Data Analysis #SQL (Structured Query Language) #Storage #Datasets #AI (Artificial Intelligence)
Role description
Position: Data Engineer
Type: Full-time
Compensation: $140K - $180K/yr
Location: Remote
Commitment: 10-40 hrs/week
Role Responsibilities
• Design, develop, and maintain scalable ETL pipelines.
• Collect, clean, transform, and organize structured and unstructured data.
• Conduct exploratory data analysis to identify trends, patterns, anomalies, and data-quality issues.
• Collaborate with researchers, data scientists, and engineering teams to prepare datasets for AI and machine-learning initiatives.
• Develop and maintain data models, database schemas, and data-storage solutions.
• Write and optimize SQL queries for data extraction, transformation, and analysis.
Requirements
• Strong proficiency in Python and SQL.
• Hands-on experience designing and maintaining ETL pipelines.
• Experience conducting exploratory data analysis.
• Proficiency with Python data-processing libraries such as Pandas and NumPy.
• Experience working with relational databases, particularly PostgreSQL and 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
Commitment: 10-40 hrs/week
Role Responsibilities
• Design, develop, and maintain scalable ETL pipelines.
• Collect, clean, transform, and organize structured and unstructured data.
• Conduct exploratory data analysis to identify trends, patterns, anomalies, and data-quality issues.
• Collaborate with researchers, data scientists, and engineering teams to prepare datasets for AI and machine-learning initiatives.
• Develop and maintain data models, database schemas, and data-storage solutions.
• Write and optimize SQL queries for data extraction, transformation, and analysis.
Requirements
• Strong proficiency in Python and SQL.
• Hands-on experience designing and maintaining ETL pipelines.
• Experience conducting exploratory data analysis.
• Proficiency with Python data-processing libraries such as Pandas and NumPy.
• Experience working with relational databases, particularly PostgreSQL and MySQL.
Application Process
• Easy Apply on LinkedIn
• Check email for next steps
• Participate in resume evaluation & interview stage
