Top Data Engineer Jobs in Dallas, TX

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.

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

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.

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.

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.

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.

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 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.

As a Snowflake Data Engineer, you'll design, build, and maintain data infrastructure using Snowflake, focusing on governance, quality, and performance optimization. You'll collaborate with stakeholders to operationalize data use cases and implement key data strategies.

The role involves building and maintaining data infrastructure, developing data pipelines, optimizing data models, collaborating with teams to provide actionable insights, and deploying AI-driven solutions.

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.

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

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

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.