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Top Senior Level Data Engineer Jobs in Austin, TX
This role involves improving data center colocation sites, managing vendor partnerships, and negotiating contracts. Responsibilities include defining vendor strategies, overseeing deals, collaborating cross-functionally, and conducting vendor management activities. The position requires strong project management skills and relationship management capabilities within a technology or cloud services environment.
As the Director of Marketing Data and Analytics at Nutrabolt, you will lead the consumer insights team and build a marketing analytics function to optimize marketing investments and drive future growth. Your responsibilities include developing analytics capabilities, collaborating with cross-functional teams, and staying updated on industry best practices to enhance marketing strategy and ROI.
The Staff Database Engineer is tasked with designing, implementing, and maintaining data management solutions. They ensure database performance, scalability, and security while working closely with cross-functional teams to address their needs. Responsibilities include database design, ETL processes, security management, on-call support, and performance tuning.
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As a Staff Software Engineer, you will innovate distributed data storage and processing systems, enhancing query performance and creating user-friendly data interfaces for various applications. You will mentor engineers, ensure high-quality engineering processes, and help shape product strategy with a focus on scalable solutions.
Design and build data models to support Data Science and Business Intelligence, develop APIs and data products, monitor data pipelines, coordinate cross-team efforts, and work with business partners to document requirements.
Lead customer transformation by designing and executing data and analytics strategies. Collaborate with business leaders to address challenges and develop a future state. Contribute to the consulting practice's direction through service delivery and support business development. Work with clients and teams to deliver data initiatives while mentoring junior consultants.
The Machine Learning Research Engineer at Optiver focuses on deep learning for price forecasting, building training and inference pipelines, enhancing deep learning frameworks, and understanding trading systems. They will collaborate with researchers and engineers to impact trading strategies directly.
The Marketing Technology Data Engineer will oversee data architecture for data integration, transformation, and activation. Key responsibilities include building solutions for real-time and batch data management, developing CI/CD data models, improving data quality, and leveraging Google Cloud tools. Collaboration with cross-functional teams is essential to meet product and client needs.
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