Top Senior 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 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.

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.

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.

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

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.

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.

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 ownership of enterprise data platform, migrating to AWS and Snowflake, while building scalable data pipelines and ensuring data quality.

Design and implement scalable data pipelines, support data ingestion and quality, collaborate on data models, and maintain data exports, contributing to technology improvements.

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.

As a Senior Data Engineer, you'll develop and maintain scalable data pipelines for healthcare, focusing on interoperability and data quality. You'll work with cloud-native technologies and ensure accurate, real-time data exchange between systems.

The Senior Data Engineer will lead data engineering efforts, build scalable ETL processes, optimize data quality, and support cross-functional teams with reliable data. Responsibilities include the ingestion, modeling, and transformation of data for analytics and business intelligence.

Lead scalable data engineering efforts, develop ETL pipelines, ensure data integrity, collaborate with cross-functional teams, and drive data solutions for business needs.

Develop and support cloud-based data analytics architecture, including Power BI reports and dashboards. Collaborate with stakeholders to ensure accurate data integration and reporting solutions.

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

Lead and mentor technical resolution of complex Data & AI production issues for customers, deep-dive into data pipelines and AI workflows, troubleshoot Spark/Delta/DLT/Model Serving, influence product improvements, and guide architects to build performant, reliable Databricks-based solutions.