Flexton Inc.
Sr Data Engineer - Databricks
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Engineer - Databricks, offering a contract length of "unknown" and a pay rate of "unknown." Key skills include Azure Databricks, Spark, Python, and Terraform. Requires 7+ years of Data Engineering experience and familiarity with data governance tools.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date
April 22, 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
Cincinnati, OH
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🧠 - Skills detailed
#Terraform #Cloud #GitHub #Azure #Azure Databricks #Data Engineering #Data Governance #Monitoring #Spark (Apache Spark) #DataOps #Python #Version Control #Azure cloud #Automation #Databricks #SQL (Structured Query Language) #Scala
Role description
The team is seeking a Data Engineer experienced in implementing modern data solutions in Azure, with strong hands-on skills in Databricks, Spark, Python, and cloud-based DataOps practices. The Data Engineer will analyze, design, and develop data products, pipelines, and information architecture deliverables, focusing on data as an enterprise asset. This role also supports cloud infrastructure automation and CI/CD using Terraform, GitHub, and GitHub Actions to deliver scalable, reliable, and secure data solutions.
Requirements
• 7+ years of experience as a Data Engineer
• Hands-on experience with Azure Databricks, Spark, and Python
• Experience with Delta Live Tables (DLT) or Databricks SQL
• Strong SQL and database background
• Experience with Azure Functions, messaging services, or orchestration tools
• Familiarity with data governance, lineage, or cataloging tools (e.g., Purview, Unity Catalog)
• Experience monitoring and optimizing Databricks clusters or workflows
• Experience working with Azure cloud data services and understanding how they integrate with Databricks and enterprise data platforms
• Experience with Terraform for cloud infrastructure provisioning
• Experience with GitHub and GitHub Actions for version control and CI/CD automation
The team is seeking a Data Engineer experienced in implementing modern data solutions in Azure, with strong hands-on skills in Databricks, Spark, Python, and cloud-based DataOps practices. The Data Engineer will analyze, design, and develop data products, pipelines, and information architecture deliverables, focusing on data as an enterprise asset. This role also supports cloud infrastructure automation and CI/CD using Terraform, GitHub, and GitHub Actions to deliver scalable, reliable, and secure data solutions.
Requirements
• 7+ years of experience as a Data Engineer
• Hands-on experience with Azure Databricks, Spark, and Python
• Experience with Delta Live Tables (DLT) or Databricks SQL
• Strong SQL and database background
• Experience with Azure Functions, messaging services, or orchestration tools
• Familiarity with data governance, lineage, or cataloging tools (e.g., Purview, Unity Catalog)
• Experience monitoring and optimizing Databricks clusters or workflows
• Experience working with Azure cloud data services and understanding how they integrate with Databricks and enterprise data platforms
• Experience with Terraform for cloud infrastructure provisioning
• Experience with GitHub and GitHub Actions for version control and CI/CD automation
