Top Senior 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.

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

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.

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.

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.

As a Senior Data Engineer, you will build scalable data ingestion pipelines and optimize data integration across Azure and AWS. Responsibilities include data modeling for AI and analytics, ensuring data quality, and collaborating with platform teams.

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.

The Senior Big Data Engineer develops data engineering pipelines, coordinates data initiatives, conducts analysis, and provides strategic recommendations while leading teams and ensuring quality in processes.

The Data Engineer will architect and implement enterprise data solutions, optimizing data flows and analytics for various industries. Collaboration and data pipeline development are key responsibilities.

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 Senior Data Engineer will lead the design and migration of an enterprise data platform to AWS and Snowflake, ensuring high-quality data pipelines and collaboration across teams to meet business requirements.

The Sr. Data Engineer will develop and optimize Microsoft Fabric pipelines and Power BI performance, design data systems, lead data modeling standards, and ensure SLA reliability while communicating complex ideas clearly to non-technical stakeholders.

As a Senior Data Engineer, you will analyze business data, develop metrics, design scalable data pipelines, manage AWS resources, and collaborate across teams to optimize data systems.

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 Integration & Pipeline Engineer will build and maintain ETL/ELT pipelines, ensuring efficient data flow, quality, and performance across platforms.

The Data Solutions Engineer develops and manages the firm's data platforms, ensuring data quality, designing data pipelines, collaborating with teams, and implementing data security while supporting digital transformation initiatives.

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

Design and build data pipelines and platforms, ensuring data reliability and scalability for analytics. Collaborate with diverse teams to implement data-driven solutions.

The Senior Data Engineer is responsible for designing, implementing, and optimizing data ingestion pipelines and database schemas, ensuring efficient integration and performance of operational data services.