Databricks Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Data Engineer, remote (local in CA), for 12 months at $50-$60/h DOE. Key skills include Databricks, Spark (PySpark/Scala), Azure Data Factory, data governance, and BI tools. Strong analytical and database design experience required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date discovered
June 19, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Los Angeles, CA
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🧠 - Skills detailed
#Data Manipulation #Security #ADLS (Azure Data Lake Storage) #Data Security #Microsoft Power BI #ADF (Azure Data Factory) #Scripting #Azure cloud #Cloud #Spark (Apache Spark) #Compliance #Data Engineering #"ETL (Extract #Transform #Load)" #Quality Assurance #Database Design #Storage #Azure #Databricks #Python #PySpark #SQL (Structured Query Language) #Data Modeling #Azure Data Factory #Automation #Data Governance #BI (Business Intelligence) #Tableau #Data Quality #Delta Lake #Scala
Role description
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What are we looking for in our Databricks Data Engineer?
Job Title: Databricks Data Engineer
Location: Remote (Local in CA)
Duration: 12 Months
Pay Range: $50-$60/h on DOE
Technical Skills:
• Databricks platform expertise (workspace management, clusters, job scheduling).
• Spark (PySpark/Scala) proficiency. SQL optimization and advanced querying skills.
• Azure Data Factory (ADF) or equivalent ETL pipeline experience Data warehousing concepts and architecture (Delta Lake).
• Python scripting for data manipulation and automation. Familiarity with Azure Cloud environment (Blob Storage, ADLS).
• Knowledge of data governance, data security, and compliance. Analytical Skills: Data modeling and database design.
• Experience with BI/reporting tools (Power BI, Tableau). Data quality assurance and validation.
Rate/Salary: $50-$60/h on DOE
