BluFeather Solutions
Senior Databricks Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Databricks Engineer with 8+ years of IT experience, 4+ years in Databricks, and strong skills in PySpark, Spark SQL, and Python. Contract length and pay rate are unspecified. Experience with Delta Lake, Azure/AWS/GCP, and CI/CD is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
August 8, 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
United States
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🧠 - Skills detailed
#Spark SQL #Security #SQL (Structured Query Language) #PySpark #Azure Data Factory #Airflow #Microsoft Power BI #Delta Lake #Kafka (Apache Kafka) #ADF (Azure Data Factory) #Spark (Apache Spark) #GCP (Google Cloud Platform) #MLflow #AI (Artificial Intelligence) #Python #Snowflake #Tableau #Databricks #BI (Business Intelligence) #Azure #AWS (Amazon Web Services) #Data Pipeline
Role description
🚀 Hiring: Senior Databricks Engineer – Genie Experience
We are looking for a Senior Databricks Engineer with 8+ years of IT experience and strong hands-on expertise in the Databricks ecosystem.
🔹 Key Requirements:
• 8+ years of overall IT experience
• 4+ years of hands-on Databricks experience
• Strong PySpark, Spark SQL, Python & SQL skills
• Experience with Delta Lake & Lakehouse architecture
• Hands-on experience with Databricks Genie and AI-powered analytics
• Experience with Azure/AWS/GCP Databricks
• Knowledge of Unity Catalog, governance & security
• Experience with CI/CD and enterprise data pipelines
⭐ Nice to Have: Azure Data Factory, Snowflake, Kafka, Airflow, MLflow/MLOps, GenAI and Power BI/Tableau.
🚀 Hiring: Senior Databricks Engineer – Genie Experience
We are looking for a Senior Databricks Engineer with 8+ years of IT experience and strong hands-on expertise in the Databricks ecosystem.
🔹 Key Requirements:
• 8+ years of overall IT experience
• 4+ years of hands-on Databricks experience
• Strong PySpark, Spark SQL, Python & SQL skills
• Experience with Delta Lake & Lakehouse architecture
• Hands-on experience with Databricks Genie and AI-powered analytics
• Experience with Azure/AWS/GCP Databricks
• Knowledge of Unity Catalog, governance & security
• Experience with CI/CD and enterprise data pipelines
⭐ Nice to Have: Azure Data Factory, Snowflake, Kafka, Airflow, MLflow/MLOps, GenAI and Power BI/Tableau.
