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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - Azure & Microsoft Fabric - **Company:** Quisitive, LLC - **Location:** Dallas, TX, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Business Intelligence Development, Big Data, Cloud Computing, Computer Programming, Continuous Integration, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Python (Programming Language), Network Troubleshooting, NoSQL, Role-Based Access Control, Azure DevOps Pipelines, SQL Databases, Data Processing, Data Ingestion, Azure Data Factory, Delivery Pipeline, Apache Spark, Microsoft Fabric, Pyspark, Infrastructure Automation Frameworks, Deployment Automation, Bicep, Terraform, Azure Synapse Analytics, Data Pipelines, Azure Resource Manager, Databricks - **Published:** June 14, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=56fe4f99d705b6f4 ## About the Role Do you have experience in Spark?, * 3+ years of hands-on experience in data engineering with Microsoft Azure (data ingestion, ETL/ELT pipeline development, big data processing). * Proficiency in Azure data services such as Azure Databricks, Azure Data Factory, Azure Synapse Analytics, and related SQL/NoSQL technologies. * Experience using Azure DevOps (Repos & Pipelines) for CI/CD: managing code, building deployment pipelines, and automating releases. * Practical experience with infrastructure-as-code (Bicep, ARM templates or Terraform) for deploying and managing Azure resources and environments. * Strong programming skills in Python/Scala (for Spark jobs) and SQL (for data transformations). * Familiarity with Microsoft Fabric and Azure fundamentals (cloud networking, security/permissions, monitoring) to support stable operations. * Excellent problem-solving skills and effective communication when working with technical teams and clients. US Citizens and Green Card holders are encouraged to apply. We are unable to offer sponsorship at this time. ## Description As a Data Engineer, you will design, build, and maintain scalable data pipelines and platform solutions on Microsoft Azure. Working hands-on with services like Azure Databricks, Azure Synapse, and Microsoft Fabric, you'll deliver robust data processing and ensure a stable, secure cloud environment that empowers analytics. The ideal candidate is a proficient Azure data engineer with a knack for automation and a collaborative mindset., * Design & Develop Data Pipelines: Build end-to-end data ingestion and transformation pipelines using Azure tools (e.g., Azure Data Factory, Synapse Pipelines). Ensure pipelines are efficient, reliable, and ready for continuous integration. * Azure Databricks Development & Administration: Use Azure Databricks (Spark) to develop and optimize data processing jobs (PySpark/Scala) for large datasets. Manage Databricks workspaces and clusters, tuning configurations and troubleshooting jobs to maintain performance and cost-efficiency. * Automate Infrastructure & Deployments: Use Infrastructure-as-Code (Bicep) to provision and manage Azure data platform resources across environments. Implement and maintain Azure DevOps CI/CD pipelines (build & release) for automated deployment of data pipelines and infrastructure changes. * Modern Data Platform Support: Support the day-to-day operations of the Azure Modern Data Platform. Monitor and maintain platform stability (storage, compute), assist in resolving connectivity or networking issues, and ensure proper Azure RBAC permissions and data security measures are in place. * Collaboration & Best Practices: Work closely with data architects, BI developers, cloud engineers, and client stakeholders. Ensure solutions align with Azure best practices, follow Quisitive standards, and meet business requirements. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)