Top Senior Level Data Engineer Jobs in Austin, TX

Seeking experienced Sr. Data Engineer to develop tools and platforms for data collection and processing. Responsibilities include building data pipelines, implementing new features, and ensuring data quality.

The VP, Enterprise Systems and Data Governance will be responsible for driving enterprise-wide technology and applications management transformation, building best in class business intelligence via data analytics and insights, and establishing best-in-class data governance and ecosystem. They will lead a team that partners closely with cross-functional stakeholders to define, drive, and deliver scaled solutions that enable growth and transformation.

Enforcing data policies, developing ETL/ELT jobs, identifying data integrity issues, training analysts, optimizing databases, collaborating across data teams

The Director of Data Science - Marketing will lead a team of data scientists to drive business growth through data-driven insights and strategic analytics. Responsibilities include developing quantitative models, optimizing marketing campaigns, and guiding strategic business decisions through data analysis. This role is highly strategic and impactful in shaping the future of the company's core products.

Seeking an Engineering Leader to lead teams, architect sophisticated solutions, and drive innovation in Security AI. Responsibilities include team leadership, architecture design, model development, training and evaluation, and solution development. Ideal candidate excels in ML, possesses architectural vision, specializes in problem-specific model customization, handles high-dimensional data, and is proficient in NLP and LLM.

As a Data Engineer, you will be responsible for designing and implementing data infrastructure, building data pipelines, ensuring data quality and integrity, and collaborating with cross-functional teams to optimize data delivery.

Lead the design and development of migrating on-prem vehicle data systems to cloud environments. Design data solutions with a focus on security, privacy, and scalability. Train and mentor staff engineers in cloud development principles. Influence technology strategy and adoption decisions.