

Jobs via Dice
Data Engineer - (Databricks, Snowflake, Oracle ADF)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a 6-month contract for a Data Engineer with expertise in Azure Data Factory, Databricks, Snowflake, and Oracle ADF. Key skills include ETL/ELT development, cloud data architecture, and strong SQL proficiency.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 18, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Irving, TX
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🧠 - Skills detailed
#PySpark #Azure #ADF (Azure Data Factory) #SQL (Structured Query Language) #Data Transformations #Data Modeling #"ETL (Extract #Transform #Load)" #Cloud #Databricks #Complex Queries #Storage #Scala #Oracle #Data Architecture #Debugging #Spark (Apache Spark) #Data Engineering #Azure Data Factory #BI (Business Intelligence) #Data Pipeline #Snowflake
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Dornan Technologies, is seeking the following. Apply via Dice today!
Skillset: Data Engineer (Azure ADF, Databricks, Snowflake)
Contract Position Duration: 6 Months
We are looking for a skilled Data Engineer with strong experience in Azure Data Factory (ADF), Databricks, Snowflake and Oracle Application Development Framework to build, maintain, and optimize cloud-based data pipelines for analytics and reporting.Key Responsibilities:
• Design and develop ETL/ELT pipelines using Azure Data Factory (ADF).
• Build scalable data transformations using Databricks (PySpark/Spark).
• Develop and manage data models, schemas, and warehouse objects in Snowflake
• Work extensively on Oracle Application Development Framework
• Integrate data from various sources into cloud storage and Snowflake.
• Optimize, monitor, and troubleshoot data pipelines and workflows.
• Work with cross-functional teams to support analytics, reporting, and business intelligence needs.
Required Skills:
• Hands-on experience with Azure Data Factory (ADF).
• Strong development experience in Databricks (PySpark/Spark).
• Proficiency in Snowflake (SQL, data modeling, warehouse features).
• Solid understanding of cloud data architecture (preferably Azure).
• Strong SQL skills with ability to write complex queries.
• Experience with ETL/ELT development and debugging.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Dornan Technologies, is seeking the following. Apply via Dice today!
Skillset: Data Engineer (Azure ADF, Databricks, Snowflake)
Contract Position Duration: 6 Months
We are looking for a skilled Data Engineer with strong experience in Azure Data Factory (ADF), Databricks, Snowflake and Oracle Application Development Framework to build, maintain, and optimize cloud-based data pipelines for analytics and reporting.Key Responsibilities:
• Design and develop ETL/ELT pipelines using Azure Data Factory (ADF).
• Build scalable data transformations using Databricks (PySpark/Spark).
• Develop and manage data models, schemas, and warehouse objects in Snowflake
• Work extensively on Oracle Application Development Framework
• Integrate data from various sources into cloud storage and Snowflake.
• Optimize, monitor, and troubleshoot data pipelines and workflows.
• Work with cross-functional teams to support analytics, reporting, and business intelligence needs.
Required Skills:
• Hands-on experience with Azure Data Factory (ADF).
• Strong development experience in Databricks (PySpark/Spark).
• Proficiency in Snowflake (SQL, data modeling, warehouse features).
• Solid understanding of cloud data architecture (preferably Azure).
• Strong SQL skills with ability to write complex queries.
• Experience with ETL/ELT development and debugging.






