Azure Data Engineer

Purple Drive

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profile Job Location:

Seattle, OR - USA

profile Monthly Salary: Not Disclosed
Posted on: 07-11-2025
Vacancies: 1 Vacancy

Job Summary

Position: Azure Data Engineer

Location: Seattle WA (Onsite)
Employment Type: Full-Time


Job Description:

We are looking for an experienced Azure Data Engineer with strong expertise in data warehousing SQL development and Databricks. The ideal candidate should have hands-on experience designing and implementing scalable data pipelines and working with cloud-based data solutions in Azure.


Key Responsibilities:

  • Design build and maintain data pipelines and ETL processes using Databricks.
  • Work extensively with Azure services to develop and manage data solutions.
  • Write and optimize complex SQL queries based on business requirements.
  • Apply strong knowledge of data warehousing concepts for data modeling and transformation.
  • Collaborate with business stakeholders to define data requirements and implement solutions.
  • Create and maintain technical design documents project plans and user training materials.
  • Utilize Git for version control and maintain best practices for code management.
  • Optionally develop automation scripts using Python or other programming languages.

Required Skills:

  • Extensive hands-on experience with Azure cloud services.
  • Strong command over SQL and data warehouse design principles.
  • Proficiency in Databricks and building data pipelines.
  • Experience with Git or other version control systems.
  • Excellent communication and documentation skills.
Prior experience with Python is a plus.
Position: Azure Data Engineer Location: Seattle WA (Onsite)Employment Type: Full-Time Job Description: We are looking for an experienced Azure Data Engineer with strong expertise in data warehousing SQL development and Databricks. The ideal candidate should have hands-on experience designing and i...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala