E-Solutions
Fulltime - Databricks Data Engineer - Snowflake
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Fulltime Databricks Data Engineer - Snowflake with a contract length of over 6 months, offering a hybrid work location in Whitehouse Station, NJ. Key skills include 3–7 years in Release Engineering, CI/CD tools, and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 14, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
Whitehouse Station, NJ
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🧠 - Skills detailed
#Snowflake #GitHub #Agile #Cloud #GCP (Google Cloud Platform) #Azure #Scripting #Docker #GIT #Version Control #Automation #BitBucket #YAML (YAML Ain't Markup Language) #Deployment #Python #Kubernetes #GitLab #AWS (Amazon Web Services) #Databricks #Azure DevOps #DevOps #Jenkins #Data Engineering
Role description
Release Engineer (DevOps)
Whitehouse Station, NJ (Hybrid – 3 days Office)
3–7 years of hands-on experience in Release Engineering, Build & Release, or DevOps roles
Strong experience with CI/CD tools (Jenkins, Azure DevOps, GitLab, GitHub Actions, etc.)
Proficie6ncy in version control systems such as Git, Bitbucket, or SVN
Experience with deployment automation using scripting languages (Shell, PowerShell, Python, or YAML)
Good understanding of SDLC, Agile, and DevOps practices
Experience working with cloud platforms (Azure/AWS/GCP – any one preferred)
Knowledge of containerization and orchestration tools such as Docker and Kubernetes (preferred)
Strong troubleshooting, problem-solving, and communication skills
Ability to handle multiple releases and priorities simultaneously
Release Engineer (DevOps)
Whitehouse Station, NJ (Hybrid – 3 days Office)
3–7 years of hands-on experience in Release Engineering, Build & Release, or DevOps roles
Strong experience with CI/CD tools (Jenkins, Azure DevOps, GitLab, GitHub Actions, etc.)
Proficie6ncy in version control systems such as Git, Bitbucket, or SVN
Experience with deployment automation using scripting languages (Shell, PowerShell, Python, or YAML)
Good understanding of SDLC, Agile, and DevOps practices
Experience working with cloud platforms (Azure/AWS/GCP – any one preferred)
Knowledge of containerization and orchestration tools such as Docker and Kubernetes (preferred)
Strong troubleshooting, problem-solving, and communication skills
Ability to handle multiple releases and priorities simultaneously
