aKube
Senior Databricks Application Engineer - 1570
aKube, Calabasas, California, United States, 91302
Calabasas, United States | Posted on 01/12/2026
Onsite/ Hybrid/ Remote: Onsite 4 days a week
Duration: 6 months contract to start
Work Authorization: GC, USC Only
Must Have
Databricks Workflows and Jobs Python PySpark API integration CI/CD and DevOps Nice to Have
Databricks Apps Responsibilities
Design and build Databricks Apps to support data and analytics workflows. Develop Python-based applications on the Databricks platform. Integrate APIs, Databricks Jobs, and data pipelines into application flows. Build and maintain batch data pipelines using Databricks and Azure services. Ensure performance, reliability, and data quality across applications. Collaborate with cross-functional teams to translate requirements into solutions. Support CI/CD pipelines and deployment best practices. Qualifications
Bachelor’s degree in a related technical field required. 7+ years of data engineering or platform development experience. Hands‐on experience building Databricks Apps in production. Strong Python, PySpark, and SQL skills. Experience with Azure cloud data services. Familiarity with Agile development practices.
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Databricks Workflows and Jobs Python PySpark API integration CI/CD and DevOps Nice to Have
Databricks Apps Responsibilities
Design and build Databricks Apps to support data and analytics workflows. Develop Python-based applications on the Databricks platform. Integrate APIs, Databricks Jobs, and data pipelines into application flows. Build and maintain batch data pipelines using Databricks and Azure services. Ensure performance, reliability, and data quality across applications. Collaborate with cross-functional teams to translate requirements into solutions. Support CI/CD pipelines and deployment best practices. Qualifications
Bachelor’s degree in a related technical field required. 7+ years of data engineering or platform development experience. Hands‐on experience building Databricks Apps in production. Strong Python, PySpark, and SQL skills. Experience with Azure cloud data services. Familiarity with Agile development practices.
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