PHT Staffing LLC
Data Engineer (Databricks)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Databricks) in San Jose, CA, with a 12-month contract at a competitive pay rate. Requires 12+ years IT experience, 4+ years with Databricks, and strong skills in Azure Cloud, Apache Spark, Python, and SQL.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 19, 2026
🕒 - 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
San Francisco Bay Area
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🧠 - Skills detailed
#Azure cloud #Scala #Data Quality #Azure #Data Engineering #Data Modeling #Delta Lake #GIT #Python #Security #Data Pipeline #Schema Design #Cloud #ADLS (Azure Data Lake Storage) #ADF (Azure Data Factory) #Azure Databricks #Data Lake #Apache Spark #Batch #DevOps #Azure Data Factory #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #SQL (Structured Query Language) #Databricks
Role description
One of our clients is looking for an experienced Data Engineer (Databricks) - San Jose, CA (Onsite) for a contract role.
• 12+ years of total IT experience in data engineering or analytics roles.
• 4+ years of hands-on experience with Databricks
• 3+ years of experience with Azure Cloud
• Strong expertise in Apache Spark (batch & streaming)
• Proficiency in Python and SQL (Scala preferred)
• Experience with Azure Databricks, ADLS Gen2, and Azure Data Factory
• Strong experience building ETL / ELT pipelines and data lakes
• Hands-on experience with Delta Lake (performance tuning, optimization)
• Experience with data modeling, schema design, and partitioning strategies
• Knowledge of data quality, governance, and security best practices
• Experience with CI/CD, Git, and DevOps practices for data pipelines
• Strong troubleshooting and performance optimization skills
If interested, please send your resume at harsh@phtstaffing.com
One of our clients is looking for an experienced Data Engineer (Databricks) - San Jose, CA (Onsite) for a contract role.
• 12+ years of total IT experience in data engineering or analytics roles.
• 4+ years of hands-on experience with Databricks
• 3+ years of experience with Azure Cloud
• Strong expertise in Apache Spark (batch & streaming)
• Proficiency in Python and SQL (Scala preferred)
• Experience with Azure Databricks, ADLS Gen2, and Azure Data Factory
• Strong experience building ETL / ELT pipelines and data lakes
• Hands-on experience with Delta Lake (performance tuning, optimization)
• Experience with data modeling, schema design, and partitioning strategies
• Knowledge of data quality, governance, and security best practices
• Experience with CI/CD, Git, and DevOps practices for data pipelines
• Strong troubleshooting and performance optimization skills
If interested, please send your resume at harsh@phtstaffing.com
