Tek Leaders Inc
Data Bricks Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Bricks Developer with a long-term contract in Cincinnati, OH. Requires 5+ years managing Databricks, expertise in Python and Spark, and skills in monitoring and optimization. Onsite work, 5 days a week.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 24, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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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
#Dynatrace #Automation #Data Bricks #Python #Databricks #Logging #Scala #Data Processing #Spark (Apache Spark) #Monitoring
Role description
Data bricks developer
Cincinnati, OH
Onsite 5 days in a Week
Long term contract role
Role Description
A Data bricks developer to design, develop, and maintain Data bricks pipelines
Required Skills
• 5+ years of managing and administering the Databricks environment, including clusters, workspaces, and notebooks, to ensure optimal performance, reliability, and scalability.
• Write clean, modular Python code for data processing, orchestration, automation, and integration with internal and external systems.
• Implement and tune Spark jobs for performance, reliability, and cost-efficiency, including partitioning, caching, and cluster configuration.
• Admin capabilities to setup infrastructure in cost effective way.
• Configure and optimize Databricks clusters and resources based on workload requirements and best practices.
• Monitor system performance, resource utilization, and availability using Databricks monitoring and logging tools. Preferably Dynatrace.
Data bricks developer
Cincinnati, OH
Onsite 5 days in a Week
Long term contract role
Role Description
A Data bricks developer to design, develop, and maintain Data bricks pipelines
Required Skills
• 5+ years of managing and administering the Databricks environment, including clusters, workspaces, and notebooks, to ensure optimal performance, reliability, and scalability.
• Write clean, modular Python code for data processing, orchestration, automation, and integration with internal and external systems.
• Implement and tune Spark jobs for performance, reliability, and cost-efficiency, including partitioning, caching, and cluster configuration.
• Admin capabilities to setup infrastructure in cost effective way.
• Configure and optimize Databricks clusters and resources based on workload requirements and best practices.
• Monitor system performance, resource utilization, and availability using Databricks monitoring and logging tools. Preferably Dynatrace.
