Top Data Engineer Jobs in Dallas, TX

The ICT Architect (Principal Data Engineer) will lead data architecture and pipeline development, contributing to advanced AI and analytics solutions while overseeing various projects and providing technical leadership.

As a Senior Associate, you will design data solutions, manage ecosystems, mentor junior members, and maintain high standards while building client relationships. The role requires analyzing complex problems and delivering quality work.

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 Data Engineer, you will design and maintain data solutions and pipelines using Snowflake and Informatica, improve data processes, and support analytics and reporting in a hybrid work environment.

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 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.

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

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.

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

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.

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

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 role involves designing scalable data systems, building data pipelines, developing ETL processes, and collaborating with stakeholders to enhance data usage and insights.

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, you will design and operationalize data solutions, mentor teams, and support analytics transformation using AWS and Python, focusing on data quality and governance.

The Sr Data Engineer, AVP will analyze complex problems, develop applications, manage projects, ensure compliance, and coach junior analysts while working with various data technologies.

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.

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.

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

The Data Engineer III designs, builds, and maintains scalable data pipelines and systems, ensuring data quality and supporting integration. They collaborate with cross-functional teams and mentor early-career engineers, optimizing data workflows and implementing automation for insights generation.

The Lead AWS Data Engineer designs and optimizes AWS data architectures and pipelines, analyzes datasets, collaborates with stakeholders, and provides technical leadership while focusing on performance tuning and automation.

Designs data models, creates reusable schemas, maintains data dictionaries, and translates business requirements into technical specifications to enhance data governance.

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.

Design and build scalable data pipelines using PySpark on Databricks, migrate ETL systems, and develop analytics dashboards and Python applications.