Cloud Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for Intermediate and Senior Cloud Data Engineers on a long-term remote contract, requiring 3–10+ years of experience in cloud data engineering, proficiency in AWS (Lambda, S3), Python, and Git. Candidates must reside in the U.S. and work Central Time hours.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 23, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Milwaukee, WI
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🧠 - Skills detailed
#Python #Data Quality #Cloud #Data Processing #Version Control #Data Pipeline #S3 (Amazon Simple Storage Service) #Scala #Data Engineering #Migration #Programming #Data Architecture #"ETL (Extract #Transform #Load)" #GIT #AWS (Amazon Web Services) #Data Ingestion #Lambda (AWS Lambda)
Role description
Job Title: Intermediate & Senior Cloud Data Engineers
Location: Remote (Candidates must reside in the U.S. and work Central Time Zone hours)
Contract Type: Long-Term Contract
Client: Fortune 500 Financial Services Company (Minneapolis-based)
About the Role
Our client, a leading Fortune 500 financial services organization, is seeking Intermediate (3–5 years) and Senior (6–10+ years) Cloud Data Engineers to join their team on a long-term remote contract. This is an exciting opportunity to play a key role in a major cloud migration and ETL modernization initiative.
You will work on building and optimizing cloud-native data pipelines, leveraging AWS services and modern engineering practices to transform and deliver large-scale data solutions.
Responsibilities
• Design, develop, and maintain cloud-based ETL pipelines using AWS services.
• Work with Lambda, S3, and Python to support data ingestion, transformation, and integration.
• Utilize Git for version control and collaborative development.
• Partner with data architects and analysts to ensure data quality and performance.
• Optimize data processes for scalability and efficiency in a cloud environment.
• Troubleshoot and resolve data pipeline issues in real-time.
Required Skills & Experience
✔ Intermediate Level: 3–5 years of experience in cloud data engineering.
✔ Senior Level: 6–10+ years of experience in cloud data engineering.
Technical Skills:
• AWS Cloud Services: Lambda, S3 (strong hands-on experience).
• Programming: Python (advanced level for data processing).
• Version Control: Git for collaborative development.
• ETL Processes: Experience in designing and implementing ETL workflows in the cloud.
Other Requirements:
• Must reside in the United States.
• Must be able to work Central Time Zone business hours.
Why Join This Project?
• Opportunity to work on a high-impact cloud transformation initiative for a Fortune 500 financial institution.
• Fully remote role with long-term stability.
• Work with cutting-edge AWS technologies and gain experience on a major cloud journey.
Job Title: Intermediate & Senior Cloud Data Engineers
Location: Remote (Candidates must reside in the U.S. and work Central Time Zone hours)
Contract Type: Long-Term Contract
Client: Fortune 500 Financial Services Company (Minneapolis-based)
About the Role
Our client, a leading Fortune 500 financial services organization, is seeking Intermediate (3–5 years) and Senior (6–10+ years) Cloud Data Engineers to join their team on a long-term remote contract. This is an exciting opportunity to play a key role in a major cloud migration and ETL modernization initiative.
You will work on building and optimizing cloud-native data pipelines, leveraging AWS services and modern engineering practices to transform and deliver large-scale data solutions.
Responsibilities
• Design, develop, and maintain cloud-based ETL pipelines using AWS services.
• Work with Lambda, S3, and Python to support data ingestion, transformation, and integration.
• Utilize Git for version control and collaborative development.
• Partner with data architects and analysts to ensure data quality and performance.
• Optimize data processes for scalability and efficiency in a cloud environment.
• Troubleshoot and resolve data pipeline issues in real-time.
Required Skills & Experience
✔ Intermediate Level: 3–5 years of experience in cloud data engineering.
✔ Senior Level: 6–10+ years of experience in cloud data engineering.
Technical Skills:
• AWS Cloud Services: Lambda, S3 (strong hands-on experience).
• Programming: Python (advanced level for data processing).
• Version Control: Git for collaborative development.
• ETL Processes: Experience in designing and implementing ETL workflows in the cloud.
Other Requirements:
• Must reside in the United States.
• Must be able to work Central Time Zone business hours.
Why Join This Project?
• Opportunity to work on a high-impact cloud transformation initiative for a Fortune 500 financial institution.
• Fully remote role with long-term stability.
• Work with cutting-edge AWS technologies and gain experience on a major cloud journey.
