Doran Jones Inc.

Databricks, PySpark Data Engineer

Doran Jones Inc.

full-time

Posted on:

Location Type: Hybrid

Location: Dallas • Texas • United States

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Tech Stack

AWSAzureCloudETLGoogle Cloud PlatformInformaticaPySparkPythonSQLTableauUnity

About the role

  • We are seeking a hands-on Data Engineer with strong Databricks and PySpark experience to build scalable data pipelines and analytics applications within a modern data platform.
  • This role focuses on modernizing legacy ETL and reporting systems (Teradata, Informatica, Tableau) into Databricks-native pipelines, dashboards, and Python-based data applications. The ideal candidate operates across both data engineering and lightweight application development.

Requirements

  • 5+ years of hands-on experience building data pipelines using PySpark in production environments
  • Strong experience with the Databricks platform (workspaces, clusters, Jobs & Workflows, Unity Catalog)
  • Experience building analytics dashboards within Databricks (Databricks SQL)
  • Proven experience designing and building scalable ETL/ELT data pipelines
  • Strong Python development skills, including building REST APIs or data services
  • Experience building or supporting data-driven applications (not just traditional ETL pipelines)
  • Solid understanding of data modeling, including dimensional modeling and transformation patterns
  • Experience using AI-assisted development tools (e.g., Copilot, ChatGPT) in engineering workflows
  • Exposure to LLM integration or an AI-powered data application
  • Familiarity with cloud platforms (AWS, Azure, or GCP)
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
DatabricksPySparkETLELTPythonREST APIsdata modelingdimensional modelingAI-assisted development toolsLLM integration