Top Senior Level Data Engineer Jobs in Dallas, TX

The Senior Data Engineer will design, develop, and deploy code for clinical data solutions, manage project timelines, and provide guidance to team members. This role includes configuring and supporting the elluminate platform, ensuring quality control of reports, and collaborating on various data-related tasks.

The Sr. Enablement Technology & Data Consultant leads the management of content management platforms and analytics for Group Benefits, partnering with various departments to improve effectiveness through strategic analysis and recommendations. This role oversees Highspot governance, data visualization, operational reporting, and complex technology initiatives, ensuring accurate decision-making and project completion.

The Solutions Architect at CDW specializes in Microsoft Data and AI solutions, engaging directly with clients to understand their business needs, creating technical solutions, and overseeing the delivery process. This role emphasizes presales support, document preparation, sales planning, partner relationship management, and the development of intellectual property

As a Principal ML Infrastructure Engineer, you will define and drive the technical vision for Thumbtack's ML infrastructure, lead cross-functional initiatives, architect scalable ML systems, establish engineering standards, mentor teams, and align infrastructure capabilities with business objectives.

As a Senior Machine Learning Engineer at Affirm, you will develop machine learning models for assessing creditworthiness, build training and monitoring systems, and collaborate with product and engineering teams. You'll implement data pipelines and drive innovations in credit decisioning with cutting-edge technologies.

The Senior Data Engineer will design and implement ETL processes in a cloud environment, develop monitoring solutions, document datasets, and collaborate with the Data Science team. This role requires building ETL processes and a strong understanding of data modeling.

As the Director of Data Science & AI, you will lead a team to develop AI and ML solutions that align with the business strategy. Responsibilities include overseeing the ML workflow, collaborating with Product and Engineering, and managing a high-performance team to drive customer-centric analysis and strategic initiatives.