Top Data Engineer Jobs in Dallas, TX

The Data Engineer Senior role involves developing data solutions, leading analysis efforts, and designing data service infrastructures within financial services using various technologies.

Lead data engineering projects, develop and implement data pipelines and architecture strategies, manage data quality, and mentor team members at PwC.

As a Manager in Managed Services, you'll lead data ecosystems projects, mentor juniors, manage client accounts, and deliver data strategies to optimize operations and drive insights for clients.

As a Senior Associate in Data Engineering at PwC, you will design and implement data architecture strategies, analyze complex issues, mentor junior members, and build client relationships while ensuring adherence to project standards.

As a Senior Manager in Data Engineering, you will lead teams to design data architectures, develop data solutions, manage client engagements, and ensure compliance with data governance policies.

The role involves consulting on business challenges, conducting data analysis, leading projects, and ensuring compliance with risk management requirements, while also developing training materials and recommending operational improvements.

The Distinguished Software Data Engineer role involves driving data architecture and engineering solutions, mentoring teams, and influencing technology adoption to enhance Capital One's data strategy.

The Data Integration Software Engineer designs, develops, tests, and maintains data integration solutions to enhance the finance environment, focusing on data pipelines and systems reliability. Responsibilities include debugging, production support, and collaborating with teams for effective testing and implementation of business processes.

The Senior Data Integration Software Engineer designs and develops data integration solutions, supporting finance systems and ensuring optimal performance and scalability. Responsibilities include leading initiatives, analyzing data processes, coordinating testing, and supporting production environments.

The Senior Data Engineer will architect and implement data pipelines, manage their performance, and partner with stakeholders to ensure data accessibility and quality. Responsibilities include assessing data sourcing needs and providing visibility into pipeline status.

As a Data Engineer II, you will design and operationalize complex data solutions, focusing on data transformation, governance, and collaboration across teams to enhance analytics capabilities.

The Data Engineer will design and optimize ETL jobs using PySpark, build data pipelines, and collaborate on enterprise data systems.

As a Principal Data Engineer, you will lead the Integration & Interoperability Center of Excellence, architecting data integration for healthcare systems, and influencing quality care outcomes through data-driven insights.

The Data Engineer, Specialist designs and maintains scalable data pipelines, builds ETL processes, optimizes data storage, and collaborates with stakeholders to support analytics efforts.

Lead the design and delivery of scalable data pipelines and platforms for enterprise-level analytics, ensuring operational excellence and data governance.

Lead the design and migration of a data platform architecture. Manage data pipelines, mentor teams, and ensure platform reliability.

The role involves designing scalable data infrastructure, developing AI-driven solutions, managing ETL pipelines, and enhancing operational efficiency using data and AI technologies.

Lead data engineering projects, build data pipelines, design data models, develop ETL/ELT processes, and ensure data quality for actionable insights.

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.

The Senior Consultant - Data Engineer will build scalable data systems, manage data pipelines, and enhance data lifecycle processes to drive business decisions.

As a Lead Data Engineer, you will design and develop solutions, collaborate with teams on data technologies, and support cloud-based data warehousing and big data applications.

As a Lead Data Engineer, lead development in actionable technical solutions within Agile teams, utilizing expertise in programming, big data tech, and cloud-based data services.

The Senior Lead Data Engineer will drive major technological transformations, lead development teams, and design innovative data solutions while utilizing cloud services and big data technologies.

Responsible for designing, building, and maintaining scalable data pipelines and transformation processes, ensuring data quality and collaborating with teams.

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.