Onsite // Databricks Engineer with DBX
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Onsite Databricks Engineer with DBX, requiring 9-12 years of AWS and Databricks experience. Contract length is unspecified, located in Boston, MA. Key skills include Azure services, SQL, DevOps, and Agile methodology.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 12, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Boston, MA
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🧠 - Skills detailed
#Snowflake #Data Lake #Azure #Azure ADLS (Azure Data Lake Storage) #Azure SQL #Azure SQL Database #Databricks #Agile #Azure cloud #Storage #ADLS (Azure Data Lake Storage) #AWS (Amazon Web Services) #SQL (Structured Query Language) #Automation #DevOps #Cloud #SQL Queries
Role description
Onsite
Databricks Engineer with DBX
Contract
Boston, MA
Job Description:
Primary skill: DBX on AWS - Preferrable with AWS experience
Primary Skills - Resource need to have very good hands on skills on AWS and Databricks with 9-12 years of exp.
Resource need to have good hands on Databricks/Snowflake in Azure Cloud platform.
Good to have skills - Agile methodology, complex SQL queries writing,
Strong understanding of data warehousing, data modelling, and data lake concepts.
Conducts performance tuning of SQL Queries for optimal performance.
In-depth knowledge of Azure services such as Azure Data Lake Storage, Azure SQL Database, Azure EventHub/EventGrid.
Experienced with DevOps, CI/CD , Orchestration and Automation
Onsite
Databricks Engineer with DBX
Contract
Boston, MA
Job Description:
Primary skill: DBX on AWS - Preferrable with AWS experience
Primary Skills - Resource need to have very good hands on skills on AWS and Databricks with 9-12 years of exp.
Resource need to have good hands on Databricks/Snowflake in Azure Cloud platform.
Good to have skills - Agile methodology, complex SQL queries writing,
Strong understanding of data warehousing, data modelling, and data lake concepts.
Conducts performance tuning of SQL Queries for optimal performance.
In-depth knowledge of Azure services such as Azure Data Lake Storage, Azure SQL Database, Azure EventHub/EventGrid.
Experienced with DevOps, CI/CD , Orchestration and Automation
