Charter Global
HVR Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an HVR Data Engineer on a contract basis, requiring 5+ years of HVR experience, proficiency in Kubernetes, Linux, AWS, and Azure. The position is remote with initial office travel, focusing on data pipeline design and data warehousing with Snowflake.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 5, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Santa Clara County, CA
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Datasets #Snowflake #Databricks #Replication #Data Pipeline #Azure #Data Engineering #Data Integrity #Kubernetes #Storage #Security #Data Replication #Data Science #Linux
Role description
Job Title: HVR Data Engineer
Location: Remote/WFH(First week travel to office)
Duration: Contract
Contract description:
• Design, develop, and maintain data pipelines using High Volume Replicator (HVR) for real-time data replication and integration.
• Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions.
• Optimize and monitor data workflows in Databricks to ensure efficient processing and storage of large datasets.
• Implement and manage data warehousing solutions using Snowflake, ensuring data integrity and security.
• Troubleshoot and resolve data-related issues, providing timely support to stakeholders.
Qualifications:
• Minimum of 5 years of experience working with High Volume Replicator (HVR) for data replication and integration.
• Proficiency in Kubernetes
• Strong knowledge of Linux
• Strong knowledge of AWS and Azure
• Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
Job Title: HVR Data Engineer
Location: Remote/WFH(First week travel to office)
Duration: Contract
Contract description:
• Design, develop, and maintain data pipelines using High Volume Replicator (HVR) for real-time data replication and integration.
• Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions.
• Optimize and monitor data workflows in Databricks to ensure efficient processing and storage of large datasets.
• Implement and manage data warehousing solutions using Snowflake, ensuring data integrity and security.
• Troubleshoot and resolve data-related issues, providing timely support to stakeholders.
Qualifications:
• Minimum of 5 years of experience working with High Volume Replicator (HVR) for data replication and integration.
• Proficiency in Kubernetes
• Strong knowledge of Linux
• Strong knowledge of AWS and Azure
• Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
