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    Microsoft Power Platform & Copilot Engineer

    USA, Texas, Dallas

    • $110,000 to $130,000 USD
    • Engineer Stelle
    • Fähigkeiten: Microsoft Copilot Studio, Power Virtual Agents, Power Platform, Microsoft 365, Dynamics 365, Microsoft Teams Apps, Microsoft Copilot
    • Seniority: Senior

    Jobbeschreibung

    Copilot Studio / Power Platform Engineer/Architect

    Design, secure, and optimize enterprise-grade Copilot Studio and Power Platform solutions that extend Microsoft 365 and Dynamics 365. You will own the full technical delivery lifecycle - from data modeling and plugin development through deployment automation and analytics - creating scalable, production-ready conversational and automation experiences.

    Technical requirements

    * Copilot Studio experience is an essential requirement for this role: solution authoring, generative topic orchestration, conversation boosters, custom actions, multilingual intent models, memory management, and analytics
    * Integration design across Dataverse, SharePoint, Azure SQL, Cosmos DB, and external systems using custom and certified connectors with secure, role-based access
    * Configuration of Azure OpenAI or Azure AI Studio endpoints to ground Copilot responses in proprietary data via retrieval-augmented generation
    * Development of Power FX formulas, reusable components, and PCF controls to extend Copilot-enabled Power Apps (Canvas, Model-driven) and Power Pages portals
    * Automation engineering with Power Automate cloud flows, adaptive cards, approvals, trigger conditions, and API management
    * Embedding Copilot experiences into Dynamics 365, Microsoft Teams, Viva, SharePoint, web portals, and mobile apps with single sign-on and contextual data sharing
    * Live demos and presales enablement: design and deliver engaging demonstrations and technical workshops that showcase solutions, accelerate stakeholder buy-in, and drive platform adoption
    * Implementation of environment governance: DLP policies, solution segmentation, managed-solution ALM, conditional access, audit logging, and tenant-level analytics
    * CI/CD pipelines using Azure DevOps or GitHub Actions to automate builds, tests, and releases across multiple environments
    * Security architecture covering Entra ID authentication, OAuth 2.0 token handling, data masking, information protection labels, and endpoint hardening
    * Monitoring and optimization with Copilot Studio analytics, Application Insights, and Power BI to measure utilization, quality, and performance while driving continuous improvement

    Data Engineer (Healthcare/Clinical Analytics)

    USA, Texas, Addison

    • $80,000 to $120,000 USD
    • Engineer Stelle
    • Fähigkeiten: AWS, SQL
    • Seniority: Senior

    Jobbeschreibung

    This role focuses on building scalable data pipelines, integrating diverse data sources, and enabling predictive analytics across cloud environments.



    Key Technical Requirements:

    * Strong hands-on experience developing data pipelines using Python
    * Strong SQL skills, including performance tuning, stored procedures, and data modeling (Star/Snowflake schemas)
    * Proven experience with Azure Data Factory (ADF) and Azure Synapse
    * Experience with ETL orchestration tools such as Apache Airflow
    * Skilled in working with structured and unstructured data, including ingestion from APIs (REST/JSON/XML)
    * Familiarity with cloud-based warehousing tools such as Snowflake, Redshift, or BigQuery
    * Comfortable working in Azure and/or hybrid cloud environments (Azure/AWS)
    * Experience supporting machine learning or predictive modeling pipelines
    * Familiar with containerization and version control: Docker, Git, and Azure DevOps
    * Understanding of data serialization formats (Parquet, Avro, JSON)
    * Knowledge of data validation, quality checks, and observability tools (Azure Monitor, logging frameworks, etc.)



    Candidates will be expected, during the interview process, to demonstrate deep hands-on technical experience in data pipeline development, cloud orchestration, and ML-ready data infrastructure.



    This position will require the successful applicant to work 5 days per week on site.