Data Engineer Jobs in Plano, 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.

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.

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, you'll design and build scalable data platforms, develop streaming data pipelines, and collaborate within Agile teams to implement data solutions.

As a Lead Data Engineer, you'll lead the design and implementation of scalable data platforms, build distributed streaming data pipelines, and collaborate on technical solutions using big data technologies and agile methodologies.

Design and maintain scalable ETL/ELT pipelines, develop data solutions using Databricks and Snowflake, and collaborate with cross-functional teams to ensure data quality and performance optimization.

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.

The Data Engineer I will build and operationalize data solutions, ensuring data quality and governance while collaborating with teams to improve analytics capabilities.

As a Data Engineer III, you'll design, build, and optimize scalable data pipelines, mentor junior engineers, and ensure reliable data delivery for analytics and reporting.

The Lead Data Engineer will design, develop, and support technical solutions, utilizing big data technologies and cloud platforms, while collaborating with Agile teams.

The Data Engineer will design and implement scalable data pipelines, build data infrastructure, ensure data quality, and collaborate with teams for analytics and compliance.

Lead Data Engineer responsible for developing and supporting technical solutions, collaborating with Agile teams, and driving transformation through data technologies.

As a Senior Lead Data Engineer, you will lead a team in developing solutions with big data technologies and cloud services, ensuring high performance and code quality. You'll mentor others and collaborate on technical innovations.

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.

This role involves finding audio data sources, managing ingestion pipelines in GCP, collaborating with scientists for data processing, and developing datasets for AI models.

The Lead Data Engineer will design and implement data solutions for imagery models, lead engineering efforts, collaborate with stakeholders, and ensure data quality and governance while optimizing data pipelines.

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

The Senior Data Engineer will build and maintain data infrastructure, develop data pipelines, design data models, and collaborate with cross-functional teams to ensure data quality and accessibility.

Lead high-impact AI/ML projects in the automotive domain, overseeing technical strategy, project execution, and client management, while mentoring junior team members.

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 Software Data Operations Engineer will analyze and improve systems, develop specifications, verify implementations, and participate in training within a collaborative engineering environment.