Senior Data Engineer

Premier Staffing SolutionIrvine, CA

About The Position

We are seeking a Senior Data Engineer with extensive experience in data engineering, analytics engineering, or software engineering, specifically working with production data systems. The role involves building scalable data pipelines and transformations, leveraging modern cloud data platforms, and ensuring data quality and reliability through robust testing and monitoring. You will collaborate closely with various teams to deliver data solutions.

Requirements

  • 6+ years of experience in Data Engineering, Analytics Engineering, or Software Engineering working with production data systems.
  • Strong expertise in SQL and Python for building scalable data pipelines and transformations.
  • Strong familiarity with AI tools like Claude Code / Devin for SW development process.
  • Hands-on experience building ELT pipelines using modern cloud data platforms (Databricks experience required).
  • Building robust testing frameworks for Data Migration (Completeness, Quality etc).
  • Deep experience with dbt, including model development, testing, documentation, and CI/CD integration.
  • Experience designing and operating production-grade data pipelines with monitoring and observability.
  • Strong collaboration skills and ability to partner with engineering teams, analysts, and operational stakeholders.
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field, or equivalent practical experience.
  • Prior data or platform migration experience.

Nice To Haves

  • Familiarity with Fivetran connector management and ingestion architecture.
  • Experience with data contracts and schema governance.
  • Knowledge of streaming or near-real-time data pipelines.

Responsibilities

  • Build scalable data pipelines and transformations using SQL and Python.
  • Build ELT pipelines using modern cloud data platforms, with a requirement for Databricks experience.
  • Develop robust testing frameworks for Data Migration, focusing on completeness and quality.
  • Develop, test, document, and integrate dbt models with CI/CD.
  • Design and operate production-grade data pipelines with monitoring and observability.
  • Collaborate with engineering teams, analysts, and operational stakeholders.
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