Top Senior 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 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.

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.

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.

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.

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

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

Lead integration engineer focusing on planning, developing, and testing data systems. Collaborate with teams and ensure quality data management.

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.

Lead design and delivery of enterprise data platforms using Snowflake and AWS. Architect ELT/CDC pipelines, implement Data Vault 2.0 and dimensional models, optimize Snowflake performance, mentor engineers, partner with stakeholders, and ensure operational reliability and observability for analytics and BI workloads.

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

Lead design and implementation of scalable data architectures and pipelines (real-time and batch), mentor junior engineers, ensure pipeline reliability and security, adopt new tools, collaborate cross-functionally, and implement data governance.

Lead design and delivery of large data products and pipelines, mentor senior engineers, set standards and best practices, promote data/analytics across business units, collaborate on governance and curated data catalog, and present technical work externally.

Design, develop, and maintain AxiomSL data sources, mappings, and regulatory reports. Build scalable data pipelines, perform advanced SQL transformations, ensure data lineage and reconciliation, support audits and production L2/L3 operations, and drive automation and platform upgrades to meet regulatory requirements.

The Data Engineer will design and implement data models, build ETL pipelines, and ensure data quality for manufacturing data analytics.