Senior Databricks Data Engineer

Numentica

  • Calabasas, California
  • 4 days ago
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    Skills

    • Agile Programming Methodologiesunmatched
    • Apache Sparkunmatched
    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • Best Practicesunmatched
    • Business Intelligenceunmatched
    • Business Solutionsunmatched
    • Cloud Computingunmatched
    • Code Reviewsunmatched
    • Computer Scienceunmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Integrationunmatched
    • Cross-Functionalunmatched
    • Data Managementunmatched
    • Data Qualityunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • DevOpsunmatched
    • Microsoft Windows Azureunmatched
    • Product Supportunmatched
    • Python Programming/Scripting Languageunmatched
    • REST (Representational State Transfer)unmatched
    • SQL (Structured Query Language)unmatched
    • Scalable System Developmentunmatched
    • Workflow Analysisunmatched

    Description

    Senior Data Engineer (AI & Databricks)


    Location: Las Vegas, NV / Calabasas, CA
    Work Model: Onsite (4 days/week)
    Employment Type: Full-Time


    Work Authorization: U.S. Citizens (USC) & Green Card Holders (GC) only

    Required Skills

    • Databricks
    • AI/ML
    • Python
    • Azure API Development
    • ETL Pipeline Development
    • DevOps & CI/CD
    • Apache Spark
    • SQL
    • Azure Data Services

    Key Responsibilities

    • Design and develop scalable batch and real-time data pipelines.
    • Build robust data ingestion, transformation, and analytics workflows.
    • Develop intelligent APIs and data products to support AI and business applications.
    • Ensure high data quality, reliability, and performance.
    • Collaborate with cross-functional teams to deliver scalable data solutions.
    • Support Azure-based data platforms for BI and AI/ML initiatives.
    • Participate in code reviews and implement CI/CD best practices.

    Required Qualifications

    • Bachelor's degree in Computer Science, Engineering, or a related technical field.
    • 10+ years of experience in Data Engineering.
    • Strong expertise in Databricks, Apache Spark, and cloud-based data platforms.
    • Proficiency in Python and SQL.
    • Hands-on experience with Azure data services and REST API development.
    • Experience with DevOps, CI/CD pipelines, and Agile methodologies.


    Numbers & Facts

    LocationCalabasas, California
    Websitehttp://www.numentica.com

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