CBase Inc
Azure Databricks Engineer @ Indianapolis, IN - 24 Months with EXT - Onsite
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Databricks Engineer in Indianapolis, IN, for a 24-month contract. Requires 4+ years in Azure Data Engineering, proficiency in Azure Databricks, Microsoft Fabric, PySpark, and data architecture. Onsite work is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
320
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🗓️ - Date
July 15, 2026
🕒 - Duration
More than 6 months
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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
Indianapolis, IN
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🧠 - Skills detailed
#Spark (Apache Spark) #Dataflow #Scala #Data Pipeline #Data Warehouse #Databricks #Azure #"ETL (Extract #Transform #Load)" #Deployment #Data Ingestion #Delta Lake #SQL (Structured Query Language) #Azure Databricks #Data Engineering #Data Governance #Cloud #PySpark #Spark SQL
Role description
Onsite Role
Virtual Interview
Position: Azure Databricks Engineer
Location: Indianapolis, IN
Duration: 24-month contract with EXT
Required Skills:
• Minimum 4+ years in Azure Data Engineering
• Azure Databricks
• Microsoft Fabric (Lakehouse, OneLake, Data Pipelines, Dataflows Gen2)
• PySpark, Spark SQL, Delta Lake
• SQL and Data Modelling
• Data Warehouse & Lakehouse Architecture
• Enterprise-scale cloud data platform implementation
• Strong communication and problem-solving skills
Key Responsibilities:
• Design, develop, and maintain scalable data pipelines using Azure Databricks.
• Build ETL/ELT solutions using PySpark, Spark SQL, Delta Lake, and Databricks.
• Develop and manage Microsoft Fabric solutions including Lakehouse, OneLake, Data Pipelines, and Dataflows Gen2.
• Design and optimize Lakehouse and Data Warehouse architectures.
• Perform data ingestion, transformation, validation, and performance tuning.
• Collaborate with business stakeholders and technical teams to deliver enterprise data solutions.
• Support solution design, deployment, testing, production support, and follow data governance and CI/CD best practices.
Onsite Role
Virtual Interview
Position: Azure Databricks Engineer
Location: Indianapolis, IN
Duration: 24-month contract with EXT
Required Skills:
• Minimum 4+ years in Azure Data Engineering
• Azure Databricks
• Microsoft Fabric (Lakehouse, OneLake, Data Pipelines, Dataflows Gen2)
• PySpark, Spark SQL, Delta Lake
• SQL and Data Modelling
• Data Warehouse & Lakehouse Architecture
• Enterprise-scale cloud data platform implementation
• Strong communication and problem-solving skills
Key Responsibilities:
• Design, develop, and maintain scalable data pipelines using Azure Databricks.
• Build ETL/ELT solutions using PySpark, Spark SQL, Delta Lake, and Databricks.
• Develop and manage Microsoft Fabric solutions including Lakehouse, OneLake, Data Pipelines, and Dataflows Gen2.
• Design and optimize Lakehouse and Data Warehouse architectures.
• Perform data ingestion, transformation, validation, and performance tuning.
• Collaborate with business stakeholders and technical teams to deliver enterprise data solutions.
• Support solution design, deployment, testing, production support, and follow data governance and CI/CD best practices.
