Job Title : Senior Fullstack Data Engineer Location : Irving, TX - must be onsite Tues, Wed, Thursday We are looking for a Senior Software Engineer, specifically a Full Stack Data Engineering Developer, with deeper expertise on the data engineering side. The ideal candidate will be able to seamlessly integrate data engineering, machine learning enablement, and full-stack application development. This role is responsible for building scalable data pipelines, enabling machine learning workflows, and contributing to both front-end and back-end application development. The candidate should be comfortable operating across modern data platforms, cloud environments, and enterprise-level software engineering practices. Responsibilities : Design, build, and optimize data pipelines, data ingestion processes, and transformation workflows. Enable and support machine learning workflows, including data preparation, feature engineering, and deployment integration. Develop and maintain full-stack applications, including both API and UI components. Collaborate closely with data scientists, architects, and product teams to deliver end-to-end solutions. Ensure data quality, performance, and security across platforms. Troubleshoot production issues and support continuous improvement initiatives. Contribute to architectural discussions and technical decision-making. Key Skills Required : 5+ years as a full stack data engineering experience Programming : Python, SQL, Java, C#, TypeScript Frameworks : .NET Core, Angular, Angular Material, Entity Framework Data Engineering : Hadoop, Spark, Kafka (preferred) ETL Tools : SSIS, Azure Data Factory Cloud : Azure (Data Lake, Functions, Storage, Databricks a plus) Databases : Strong hands-on experience with SQL and relational database design Experience working in Agile environments
Architect • TX, United States