Realign LLC
Azure Data Engineer (Data-3
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer (Data-bricks) on a contract basis in Dallas, TX, offering a competitive pay rate. Key skills required include Databricks, Spark, Delta Lake, and experience with AWS, Azure, or GCP.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
Unknown
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🗓️ - Date
December 21, 2025
🕒 - 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
Dallas, TX
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🧠 - Skills detailed
#Delta Lake #Databricks #Spark (Apache Spark) #AWS (Amazon Web Services) #Data Science #Batch #Data Engineering #Big Data #Security #"ETL (Extract #Transform #Load)" #Scala #Cloud #Data Pipeline #Data Quality #Azure #GCP (Google Cloud Platform)
Role description
Job Type: Contract
Job Category:
Role- Azure Data Engineer (Data-bricks)
Location: Dallas, TX- Onsite Contract Job Description (JD) typically involves designing, developing, and maintaining scalable data pipelines, ETL processes, and data solutions using the Databricks platform (Lake house Architecture, Spark, Delta Lake) on cloud services (AWS, Azure, GCP). Key responsibilities include
Data modelling, performance optimization, ensuring data quality security, collaborating with data scientist’s analysts, and implementing governance (like Unity Catalog) for big data analytics and AIML initiatives.
Common Roles Responsibilities
Databricks
Builds data infrastructure, optimizes Spark jobs, creates ETL/ELT pipelines, and integrates with cloud services.
Responsibilities
Design develop data solutions on Databricks (Delta Lake, Unity Catalog).Optimize data pipelines (batch streaming) for performance.
Collaborate with stakeholders (scientists, analysts).
Implement data quality, security, and governance.
Troubleshoot performance issues. Document technical specs.
Required Skills
Job Type: Contract
Job Category:
Role- Azure Data Engineer (Data-bricks)
Location: Dallas, TX- Onsite Contract Job Description (JD) typically involves designing, developing, and maintaining scalable data pipelines, ETL processes, and data solutions using the Databricks platform (Lake house Architecture, Spark, Delta Lake) on cloud services (AWS, Azure, GCP). Key responsibilities include
Data modelling, performance optimization, ensuring data quality security, collaborating with data scientist’s analysts, and implementing governance (like Unity Catalog) for big data analytics and AIML initiatives.
Common Roles Responsibilities
Databricks
Builds data infrastructure, optimizes Spark jobs, creates ETL/ELT pipelines, and integrates with cloud services.
Responsibilities
Design develop data solutions on Databricks (Delta Lake, Unity Catalog).Optimize data pipelines (batch streaming) for performance.
Collaborate with stakeholders (scientists, analysts).
Implement data quality, security, and governance.
Troubleshoot performance issues. Document technical specs.
Required Skills
