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Senior Data Engineer

Job in Bellevue, King County, Washington, 98009, USA
Listing for: Compunnel, Inc.
Full Time position
Listed on 2025-12-03
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Job Description & How to Apply Below

Client is looking for a Sr. Data Engineer with extensive experience in Azure, Databricks, Power Shell, and SQL to contribute to building scalable data engineering solutions. This role involves working within an Azure + Databricks Lakehouse environment, utilizing a variety of tools and technologies to optimize data pipelines, implement Dev Ops practices, and improve the performance and efficiency of data applications.

Key Responsibilities
  • Develop, maintain, and optimize data pipelines leveraging Azure Data Factory (ADF), Databricks, and Py Spark
  • Design and implement CI/CD pipelines using Azure Dev Ops
  • Utilize SQL (TSQL, Postgre

    SQL) and Power Shell for scripting and automation
  • Optimize code for performance, including reading DAGs and resolving CBO issues
  • Ensure consistency and repeatability in code deployment using custom SQL frameworks
  • Develop and maintain data lakes and data warehouses using ADLS, Delta Lake, and Parquet formats
  • Participate in peer code reviews and maintain adherence to SDLC, including Dev Ops practices
  • Advise and support the team on data modeling, performance tuning, and system scalability
  • Collaborate with cross-functional teams and clarify technical requirements with customers
  • Manage defect tracking and resolution, providing proactive measures to improve code quality
  • Estimate time and resources required for developing/debugging data features/components
Required Qualifications
  • 8+ years of experience in Azure, Databricks, and related data engineering technologies
  • Strong proficiency with Azure Data Factory (ADF), ADLS, and Azure Dev Ops
  • Experience with Databricks, PySpark, and SparkSQL
  • Proficiency with SQL (TSQL, Postgre

    SQL) and Power Shell scripting
  • Familiarity with data formats like Parquet and Delta Lake
  • Deep understanding of SDLC and CI/CD practices
  • Expertise in optimizing code for performance and scalability
  • Strong problem-solving skills and ability to break down complex challenges
  • Excellent communication and collaboration skills in an Agile environment
Preferred Qualifications
  • Experience with big data tools and technologies (e.g., Hadoop, Kafka, etc.)
  • Experience with cloud-based data solutions and architecture design
  • Familiarity with Agile methodologies (Scrum, Kanban)
  • Strong experience with performance tuning, indexing, and partitioning
  • Certification in Azure Data Engineering or related domain
Certifications
  • Databricks Certified Associate Developer for Apache Spark (preferred)
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Position Requirements
10+ Years work experience
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