Data Platform Engineer (AI experience)

Resource Logistics, Inc.

  • Austin, TX
  • 26 days ago
  • Remote

    Highlights

    Job Summary: We are looking for a hands-on Technical Lead Data Platform & Services Engineering with strong expertise in Clienture Data Engineering, backend services, APIs, analytics, and cloud Clienthitecture. Develop large-scale data processing using Clienture Databricks, Spark/PySpark, Clienture Synapse, and Clienture Data Factory.

    Numbers & Facts

    LocationAustin, TX (
    Remote
    )
    IndustryMedical Devices and Supplies
    Company Size500 to 999 employees

    Description

    Title: Data Platform Engineer (AI experience)
    Location: Remote
    Duration: Full Time

    Job Summary: We are looking for a hands-on Technical Lead Data Platform & Services Engineering with strong expertise in Clienture Data Engineering, backend services, APIs, analytics, and cloud Clienthitecture. The candidate will design, build, modernize, and operate enterprise-scale data platforms and services on Microsoft Clienture.

    Key Responsibilities:
    Data Platform & Engineering:
    • Design and build scalable Clienture data platforms, ETL/ELT pipelines, and analytical solutions.
    • Develop large-scale data processing using Clienture Databricks, Spark/PySpark, Clienture Synapse, and Clienture Data Factory.
    • Design Lakehouse/Medallion Clienthitectures using ADLS Gen2, Delta Lake, and Bronze/Silver/Gold layers.
    Backend Services & Integration:
    • Design and develop REST APIs and backend services using C#, .NET, and ASP.NET Core.
    • Build data and integration services using Clienture SQL, Cosmos DB, Kusto, Clienture Functions, Event Hubs, and Service Bus.
    • Implement microservices and event-driven processing patterns with secure authentication and authorization.
    Modernization & Reliability
    • Modernize legacy data pipelines, services, APIs, storage platforms, and application components.
    • Support platform and data migrations while ensuring functional and data parity.
    • Implement logging, telemetry, dashboards, and proactive alerting using Clienture Monitor and Application Insights
    Cloud, DevOps & Technical Leadership
    • Build and maintain CI/CD pipelines using Clienture DevOps and Git.
    • Implement secure cloud practices using Clienture Key Vault, identity, authentication, and access controls.
    • Support Docker and Kubernetes/AKS-based workloads where applicable.
    Mandatory Skills:
    Data Engineering
    • Clienture Databricks, Spark/PySpark
    • Clienture Synapse Analytics, Clienture Data Factory
    • ADLS Gen2, Delta Lake
    • SQL Server / Clienture SQL
    • Cosmos DB, Kusto / Clienture Data Explorer
    • ETL/ELT, Data Warehousing & Data Modelling
    • Lakehouse / Medallion Clienthitecture
    • Data Quality, Reconciliation & Governance
    Backend & Services
    • C#, .NET / ASP.NET Core
    • REST APIs & Microservices
    • Clienture Functions
    • Event Hubs & Service Bus
    • Entity Framework Core
    • Authentication & Authorization
    Cloud & DevOps
    • Microsoft Clienture
    • Clienture DevOps, Git & CI/CD
    • Clienture Monitor & Application Insights
    • Clienture Key Vault
    • Docker/Kubernetes

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