Azure Data Engineer

Remote • Posted 2 hours ago • Updated 2 hours ago
Contract Independent
Contract W2
No Travel Required
Remote
$50 - $55/yr
Fitment

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Job Details

Skills

  • Azure Databricks
  • Python
  • Data Factory (
  • Spark
  • sql
  • DevOps
  • CI/CD

Summary

Role Senior azure Engineer
📍 Location: Remote (United States)
đź’Ľ Employment Type: Contract (W2)
đź“… Duration: 6+ Months (Possible Extension)
 
Key Responsibilities
  • Design, build, and orchestrate scalable data pipelines using Azure-native services.
  • Develop and optimize batch and near real-time data processing solutions using Spark and Databricks.
  • Implement and manage enterprise-grade Lakehouse architectures (Medallion architecture).
  • Perform data processing, validation, and automation using Python (PySpark, Pandas, NumPy).
  • Optimize performance of large-scale data systems, including Spark tuning and query optimization.
  • Work with CDC (Change Data Capture) pipelines and large-volume data ingestion.
  • Collaborate with cross-functional teams to deliver secure, scalable, and high-performance data platforms.
  • Implement CI/CD pipelines and DevOps best practices for data engineering workflows.
 
Required Skills & Experience
  • Strong experience with Azure Databricks, including notebooks, clusters, and Delta Lake.
  • Hands-on expertise in Azure Data Factory (ADF) and pipeline orchestration.
  • Proficiency in Python (PySpark, Pandas, NumPy) and SQL.
  • Experience with Spark SQL, performance tuning, and distributed data processing.
  • Solid understanding of Azure ecosystem: ADLS, Synapse Analytics, Azure Functions, Event Grid, Key Vault, Purview.
  • Experience designing and implementing data lake / lakehouse architectures.
  • Knowledge of dimensional data modeling and analytics solutions.
  • Familiarity with DevOps and CI/CD automation in data platforms.
 
Preferred Qualifications
  • Experience with Microsoft Fabric.
  • Proven track record of improving pipeline performance (e.g., 30–40% optimization).
  • Exposure to hybrid cloud environments.
  • Prior experience working with large enterprise clients.
 
Additional Information
  • Proven experience delivering production-grade, scalable data solutions.
  • Strong alignment with senior-level Azure data engineering roles.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91125331
  • Position Id: 8957057
  • Posted 2 hours ago
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