Azure Databricks

High Bridge Consulting
  • New York, New York
    30+ days ago

    Job Description

    Data Engineer – Azure Databricks (Corporate Vertical Developer)

    We are seeking an experienced  Data Engineer – Azure Databricks (Corporate Vertical Developer) to support multiple corporate business functions, including  RESO, HCG, Compliance, Facilities, and Finance. This role will be responsible for designing and building scalable data solutions, enabling enterprise-wide analytics, and driving data integration initiatives across the organization.

    The ideal candidate will have strong expertise in  Azure cloud technologies, Databricks, data engineering, and enterprise data integration, with the ability to collaborate effectively across business and technical teams.

    Location:  NYC Area (Hybrid – 3 days onsite per week)

    Key Responsibilities

    • Design, develop, and maintain scalable data pipelines using  Microsoft Azure and  Azure Databricks.
    • Build and optimize ETL/ELT processes for both structured and unstructured data sources.
    • Partner with stakeholders across corporate functions to gather requirements and deliver data-driven solutions.
    • Design and implement data models, architectures, and frameworks that support reporting, analytics, and business intelligence initiatives.
    • Integrate enterprise platforms such as  ServiceNow, Dataverse, Workday, and other business applications into centralized data environments.
    • Ensure adherence to data quality, governance, security, and compliance standards.
    • Monitor, troubleshoot, and optimize data workflows to ensure high availability and performance.
    • Contribute to the ongoing enhancement of enterprise data platforms and recommend innovative technologies and best practices.
    • Support data modernization initiatives and enterprise-wide analytics strategies.
    Required Qualifications
    • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
    • 5+ years of experience in  Data Engineering or a related discipline.
    • Strong hands-on experience with  Microsoft Azure data services.
    • Extensive experience with  Azure Databricks, including  Apache Spark and distributed data processing.
    • Advanced SQL development and optimization skills with large-scale data environments.
    • Experience building and orchestrating data pipelines using  Azure Data Factory (ADF) or similar ETL/ELT tools.
    • Strong experience with  Azure SQL Database, including performance tuning and optimization.
    • Proficiency in  Python and/or  Scala for data engineering and automation.
    • Experience with  C# and  PowerShell for integration and automation tasks.
    • Experience developing and deploying  Azure Functions for data processing and system integrations.
    • Experience integrating APIs, event-driven architectures, and enterprise applications.
    • Strong understanding of scalable, secure, and cloud-native data architecture principles.
    • Excellent communication and collaboration skills with the ability to work across multiple business domains.
    Preferred Qualifications
    • Experience with  Azure DevOps and CI/CD pipeline implementation.
    • Knowledge of  Delta Lake and modern  Lakehouse architectures.
    • Familiarity with data governance, metadata management, and data catalog solutions.
    • Experience working within  Agile/Scrum development environments.
    • Relevant  Microsoft Azure and/or  Databricks certifications.

    Flexible work from home options available.

    Compensation: $80.00 - $90.00 per hour




    Numbers & Facts

    LocationNew York, New York
    Websitewww.highbridgeusa.com

    Skills

    • Agile Programming Methodologiesunmatched
    • Apache Sparkunmatched
    • Application Programming Interface (API)unmatched
    • Automationunmatched
    • Best Practicesunmatched
    • Business Intelligenceunmatched
    • Business Solutionsunmatched
    • Cloud Computingunmatched
    • Communication Skillsunmatched
    • Computer Scienceunmatched
    • Consultingunmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Integrationunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Processingunmatched
    • Data Qualityunmatched
    • Database Extract Transform and Load (ETL)unmatched
    • DevOpsunmatched
    • Enterprise Applicationsunmatched
    • Enterprise Data Integrationunmatched
    • Financeunmatched
    • High Availabilityunmatched
    • Identify Issuesunmatched
    • Maintain Complianceunmatched
    • Metadataunmatched
    • Microsoft C# (C Sharp)unmatched
    • Microsoft Windows Azureunmatched
    • Performance Managementunmatched
    • Performance Tuning/Optimizationunmatched
    • Project/Program Managementunmatched
    • Python Programming/Scripting Languageunmatched
    • Regulatory Complianceunmatched
    • Requirements Managementunmatched
    • SQL (Structured Query Language)unmatched
    • SQL Databasesunmatched
    • Scala Programming Languageunmatched
    • Scalable System Developmentunmatched
    • Scrum Project Management and Software Developmentunmatched
    • ServiceNowunmatched
    • Software Engineeringunmatched
    • Strategic Planningunmatched
    • Structured Dataunmatched
    • System Integration (SI)unmatched
    • Systems Engineeringunmatched
    • Team Playerunmatched
    • Unstructured Dataunmatched
    • Windows PowerShellunmatched

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