CCS Global Tech
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer, remote for 6 to 12 months, paying "pay rate". Requires strong experience in Snowflake, Matillion, AWS, and Python. Must be a USC/GC with solid SQL expertise and understanding of ELT best practices.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
January 17, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Python #SQL (Structured Query Language) #Cloud #Matillion #Version Control #AWS (Amazon Web Services) #Lambda (AWS Lambda) #Data Modeling #Snowflake #Logging #Monitoring #Data Quality #Scala #Data Engineering #S3 (Amazon Simple Storage Service) #Security #"ETL (Extract #Transform #Load)" #EC2 #Storage #BI (Business Intelligence) #Automation #Data Pipeline #Data Processing #Databases
Role description
Position: Data Engineer
Location: Remote
Duration: 6 to 12 Months
Only USC/GC
Job Description
We are seeking a skilled Data Engineer with strong experience in Snowflake and Matillion, along with hands-on exposure to AWS and Python. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and analytics solutions to support business intelligence and data-driven decision-making.
Key Responsibilities
• Design, develop, and maintain ETL/ELT pipelines using Matillion and Snowflake
• Build and optimize data models in Snowflake for analytics and reporting
• Ingest data from multiple sources (databases, APIs, files, cloud services)
• Optimize Snowflake performance, cost, and storage using best practices
• Develop and maintain Python scripts for data processing, automation, and orchestration
• Work with AWS services such as S3, Lambda, Glue, EC2, and CloudWatch
• Ensure data quality, reliability, and security across pipelines
• Collaborate with analytics, BI, and business stakeholders to understand data requirements
• Implement monitoring, logging, and error-handling mechanisms
• Support CI/CD and version control for data pipelines
Required Skills & Qualifications:
• Experience with Snowflake (data modeling, performance tuning, SQL)
• Hands-on experience with Matillion ETL
• Solid SQL expertise
• Working knowledge of AWS
• Proficiency in Python for data engineering use cases
• Understanding of ELT best practices and cloud-based architectures
Position: Data Engineer
Location: Remote
Duration: 6 to 12 Months
Only USC/GC
Job Description
We are seeking a skilled Data Engineer with strong experience in Snowflake and Matillion, along with hands-on exposure to AWS and Python. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and analytics solutions to support business intelligence and data-driven decision-making.
Key Responsibilities
• Design, develop, and maintain ETL/ELT pipelines using Matillion and Snowflake
• Build and optimize data models in Snowflake for analytics and reporting
• Ingest data from multiple sources (databases, APIs, files, cloud services)
• Optimize Snowflake performance, cost, and storage using best practices
• Develop and maintain Python scripts for data processing, automation, and orchestration
• Work with AWS services such as S3, Lambda, Glue, EC2, and CloudWatch
• Ensure data quality, reliability, and security across pipelines
• Collaborate with analytics, BI, and business stakeholders to understand data requirements
• Implement monitoring, logging, and error-handling mechanisms
• Support CI/CD and version control for data pipelines
Required Skills & Qualifications:
• Experience with Snowflake (data modeling, performance tuning, SQL)
• Hands-on experience with Matillion ETL
• Solid SQL expertise
• Working knowledge of AWS
• Proficiency in Python for data engineering use cases
• Understanding of ELT best practices and cloud-based architectures
