Top Remote Senior Level Data Engineer Jobs in Dallas, TX

The Presales Data Principal will work to understand client needs and design effective data solutions using SaaS technologies like Snowflake and Databricks. Responsibilities include technical storytelling, responding to RFPs, and leading all aspects of pre-sales processes. The role emphasizes interpersonal skills, deal conversion, and guiding clients on data best practices and AI/ML capabilities.

As a Staff Data Engineer, you will design and implement scalable data solutions, optimize data infrastructure, and support BI product development. You will collaborate with stakeholders for project alignment and success while managing data workflows and governance tools.

The Senior Data Engineer will develop and scale a high-traffic digital ad exchange, mentor junior engineers, implement software best practices, and contribute to the architectural strategy. Responsibilities include shipping features, optimizing performance, and enhancing the overall platform.

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.

The Microsoft Solutions Architect is responsible for client-facing pre-sales consultancy, developing technical proposals for Data & Analytics solutions that match client requirements, and ensuring successful delivery while maximizing profit for CDW. This role includes creating design documents, engaging in account prioritization strategies, and building strong relationships with partners and clients.

The Staff ML Infrastructure Engineer will be responsible for defining the technical vision and architecture for Thumbtack's machine learning infrastructure, leading cross-functional teams, and establishing best practices. The role includes mentoring, strategic decision-making, and aligning ML capabilities with business goals, all to support the company's AI-first approach.

The Director of Data Science will lead the Data Science team, focusing on Big Data Analytics, AI, and ML to meet client needs. They will manage a portfolio of government projects, ensure team skills and resources are adequate, and drive operational policies and goals while maintaining high standards of service quality.