Data Engineer Jobs in Richardson, TX

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

Build, test, and operationalize complex data pipelines and solutions on cloud platforms. Analyze and transform data, ensure data governance, security, and quality, troubleshoot defects, and collaborate across teams to support analytics, ML/AI, and business intelligence needs.

Analyze existing systems, design cloud-ready data processing workflows, develop specifications and migration tools, validate implementations via automated testing, and report progress. Collaborate with stakeholders and developers to optimize BI/reporting solutions and complete relevant technical training.

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

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 Science Engineer is responsible for engineering AI capabilities, managing data pipelines, and delivering ML engineering solutions, while ensuring data quality and optimizing existing systems.