Job Description
Job Title:
Sr. Data Engineer Position Type :
Onsite Location :
Houston, TX Years of experience : 8+ years About the Role We are seeking a Sr. Data Engineer to design, build, and optimize enterprise data solutions across our Microsoft ecosystem. This role focuses on Microsoft Fabric , Power BI , and Azure data services (including Azure Data Factory , Azure Data Lake , and Azure SQL Database/Data Warehouse ) to support analytics, operational reporting, and self-service BI. About You Bachelor s degree in computer science, Information Systems, Data Engineering, Data Science, Software Engineering, Applied Mathematics, or a related technical field; equivalent experience considered. 7+ years of experience in data engineering roles, with significant hands-on background in development/engineering background. Strong SQL and data modeling skills: Design and optimization of relational and analytical models; complex queries and tuning. Experience with stored procedures, views, indexing strategies, and query performance diagnostics. Proven track record designing and governing Power BI solutions: Enterprise datasets/semantic models, DAX, RLS, and deployment pipelines. Creating and supporting Power BI reports and dashboards , including maintaining legacy content while transitioning to new data sources. Experience migrating reports and datasets from legacy ERP systems such as JD Edwards to Dynamics 365 , including side-by-side reconciliation and validation. Hands-on experience with Microsoft Fabric or similar Azure services : Worked with Lakehouse/Warehouse, Power BI reports, and semantic models. Implementing governance, security, and performance best practices. Experience creating and managing Microsoft Fabric data pipelines or Azure Data Factory , including orchestration, monitoring, and error handling. Expertise in Python for data engineering, advanced transformation, automation, and integration tooling, including scripting for Fabric, Data Factory, and API-based integrations. Experience with DevOps and ALM for Power Platform, Fabric, and Azure resources (e.g., Azure DevOps or GitHub Actions). Solid understanding of security, identity, and compliance : Azure AD/Entra ID, OAuth, service principals/managed identities, and secrets management. Awareness of controls needed for SOX/ITand public-company environments. Nice to have Experience with reporting and analytics for Dynamics 365 Building or supporting Power BI / Fabric-based reporting on top of D365 data. Migrating reports and datasets from legacy ERP systems (e.g., JD Edwards) to Dynamics 365 , including side-by-side reconciliation and validation Experience with Dynamics 365 (F&O and/or CE) and its integration capabilities: Data entities, Dataverse, OData/REST APIs, webhooks, and export-to-data-lake patterns. Understanding of core D365 data models and key financial/operational processes. Experience with additional Azure services (e.g., Azure Functions, Service Bus, Event Grid, API Management, Data Factory beyond Fabric scenarios).
