Unisys
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a contract basis, requiring 5+ years of experience in data platforms and ETL processes. Key skills include Python, AWS (CloudFormation, Lambda), Terraform, and GitLab. Location is "remote," with a pay rate of "$X/hour."
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 3, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Plano, TX
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Automation #Data Management #Big Data #Terraform #API (Application Programming Interface) #NoSQL #SQL (Structured Query Language) #Data Lake #Deployment #RDBMS (Relational Database Management System) #Data Engineering #GitLab #Lambda (AWS Lambda) #Python #Data Ingestion #AWS (Amazon Web Services) #Metadata #Cloud #Data Warehouse #Data Modeling
Role description
• Develop scripts and tools for automation of system provisioning, deployment, upgrade, and scaling (Python).
• Create ETLs to take data from various operational systems.
• Development solutions on Cloud based architecture.
• Evangelizing key strategic technologies in the areas of public API’s, Big Data, and Analytics.
• 5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
• Experience with data warehouse, data lake, and enterprise big data platforms.
• Good Knowledge of metadata management, data modeling, and related tools required.
• Experience in team management, communication, and Advanced SQL skills.
• AWS CloudFormation and Lambda experience.
• Terraform and GitLab is a must have due to the client ecosystem.
• Advanced knowledge in Python development.
• Good technical Acumen around AWS environment for Data driven projects.
#LI-CGTS
#TS-3142
• Develop scripts and tools for automation of system provisioning, deployment, upgrade, and scaling (Python).
• Create ETLs to take data from various operational systems.
• Development solutions on Cloud based architecture.
• Evangelizing key strategic technologies in the areas of public API’s, Big Data, and Analytics.
• 5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
• Experience with data warehouse, data lake, and enterprise big data platforms.
• Good Knowledge of metadata management, data modeling, and related tools required.
• Experience in team management, communication, and Advanced SQL skills.
• AWS CloudFormation and Lambda experience.
• Terraform and GitLab is a must have due to the client ecosystem.
• Advanced knowledge in Python development.
• Good technical Acumen around AWS environment for Data driven projects.
#LI-CGTS
#TS-3142
