Top Data Engineer Jobs in Dallas, TX

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 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.

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.

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.

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.

As a Lead Data Engineer, you'll design and build scalable data platforms, develop streaming data pipelines, and collaborate within Agile teams to implement data solutions.

As a Lead Data Engineer, you'll lead the design and implementation of scalable data platforms, build distributed streaming data pipelines, and collaborate on technical solutions using big data technologies and agile methodologies.

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 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 role involves building and optimizing data pipelines, ensuring data quality, and collaborating to develop data models using modern data stack technologies.

The Principal Data Engineer will develop the Data Platform strategy, mentor team members, and establish efficient data frameworks, collaborating with business stakeholders to integrate ML and AI capabilities.

The Data Engineer will design, build, and deploy scalable data solutions, optimize data flows, and implement ETL processes, leveraging various cloud platforms and technologies.

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.

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.

The Data Engineer will design and maintain scalable data pipelines, optimize ETL processes, and ensure data quality for analytics in healthcare.

As a Data Engineer III, you'll design, build, and optimize scalable data pipelines, mentor junior engineers, and ensure reliable data delivery for analytics and reporting.

The Data Engineer II will design and implement scalable data pipelines, collaborate with stakeholders, ensure data quality, and support analytics by utilizing cloud platforms and big data technologies.

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

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