Data Engineer Jobs in Irving, TX

The Data Engineer will design and manage scalable data solutions, focusing on ETL pipelines, data quality, and integration for reliable analytics. They will collaborate with stakeholders to ensure data accuracy and compliance while resolving data issues and optimizing performance.

Lead the design and implementation of scalable data platforms on Google Cloud, focusing on ingestion, transformation, and providing robust data capabilities for analytics and AI. Collaborate with teams to enhance the data ecosystem, enforce governance, and optimize workloads.

The Lead Data Engineer will design and implement scalable data platforms on Google Cloud, build reusable data frameworks, optimize data workloads, and collaborate with teams to ensure data governance and quality across projects.

The Data Engineer will manage production data quality tasks, support daily data loads, build ETL pipelines, and coordinate with teams to resolve data issues in an Azure Cloud-based environment.

The Data Engineer II role involves processing large datasets, developing ETL processes, collaborating on technology adoption, and contributing to data engineering practices.

The Data Engineer III role involves designing and building scalable data pipelines on Azure Databricks, migrating legacy systems, and ensuring compliance with financial regulations, while mentoring others and producing technical documentation.

As a Data Engineer II at Lennar, you will design and implement data pipelines, manage AWS resources, collaborate across teams, and optimize data storage for efficiency and performance.

Lead design and implementation of scalable data architectures and pipelines (real-time and batch), mentor junior engineers, ensure pipeline reliability and security, adopt new tools, collaborate cross-functionally, and implement data governance.

The Lead Data Engineer at Lennar will design and implement data engineering solutions, lead the data platform team, and ensure data quality and accessibility for business insights.

The Senior Data Engineer will design, build, and optimize data infrastructure and pipelines, manage cloud data platforms, and work on AI projects, ensuring high data quality and efficient integration across systems.

The Senior Data Engineer will design and optimize data infrastructure on cloud platforms, manage large-scale data projects, and support AI initiatives. Responsibilities include developing ETL pipelines, implementing data solutions, optimizing performance, and mentoring junior engineers.

The Senior Data Engineer is responsible for designing, implementing, and optimizing data ingestion pipelines and database schemas, ensuring efficient integration and performance of operational data services.

The Senior Data Developer Tech Lead will design and manage scalable data solutions within Hadoop, lead streaming data architecture, optimize performance, and integrate AI/ML capabilities, while coaching team members and ensuring best practices in the banking domain.

Lead the design and implementation of Hadoop architecture and real-time data solutions. Coach team members, optimize performance, and ensure data governance within a small agile squad, focusing on AI/ML capabilities.

Provide technical and business support for Citi applications, manage application environments, perform risk analysis, and lead enhancements while ensuring compliance with corporate standards.

As a Software Engineer, you'll design AI applications, implement multi-agent architectures, build RAG pipelines, and ensure enterprise-grade reliability by optimizing performance and collaborating with teams.

The Data Solutions Engineer develops Big Data solutions, migrating workloads to cloud platforms and collaborating with stakeholders for optimal data implementations.

The Lead Data Engineer oversees application system implementation and development, ensuring compliance and user support while guiding less experienced staff.

The Senior Incident Optimization Specialist focuses on reducing operational incidents in database and middleware systems by developing automated workflows, improving observability, and enhancing incident management practices.

Lead the data engineering team, manage projects, ensure data solution scalability, collaborate with stakeholders, and drive adoption of new technologies.

The role involves design and development using Hadoop and its ecosystem, requiring strong programming skills in Java, Python, and SQL, with experience in data warehouses.

As a Senior Data Engineer, you will analyze business data, develop metrics, design scalable data pipelines, manage AWS resources, and collaborate across teams to optimize data systems.