Top Data Engineer Jobs in Austin, TX
Lead the development of Large Language Models for Enterprise Language Generation at ServiceNow, collaborating with engineering and product teams to incorporate AI technologies into the platform. Architect elegant and reusable components while influencing leadership on AI strategies and industry trends.
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Responsible for providing clean data sets, modeling data, enabling team members to use new datasets, creating datasets and dashboards, establishing analytics-related standards, and proactively identifying and transforming suboptimal data.
Dropbox is seeking a Data Engineer to build next-generation Financial data pipelines for crucial business decisions. Responsibilities include managing data pipelines, ensuring data quality, solving integration problems, and collaborating with business and engineering 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.
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Looking for a Security Researcher to collect, monitor, and analyze cybercriminal underground data. Must have experience in threat intelligence, data analytics, and programming. Familiarity with AWS, Azure, and GCP is preferred.
Develop and maintain a specialized semantic data framework for cloud services, libraries, and databases. Design and develop tools for data modeling, replication, and governance in a distributed environment. Collaborate with colleagues on query compilers and data pipelines. Expertise in service-based architectures, cloud-based systems, and various databases.
The Senior Data Engineer will be responsible for managing data infrastructure, building data services/platforms, and creating and maintaining ETL pipelines. They will work closely with the Software and Analyst teams, improving databases and infrastructure, and implementing process improvements. The role requires experience in full stack development, data engineering, and working with various data technologies.
Seeking a Senior Data Engineer to create and own a data engineering roadmap, collaborate with product and engineering teams, and build data processing pipelines and infrastructure in support of product, analytics, and ML initiatives.
Full-time Data Engineer role at SailPoint focusing on building and scaling the SailPoint Data Platform. Responsibilities include delivering efficient solutions to data engineering challenges, collaborating with peers, and producing tests to improve code quality. Requires 1-2 years of software development experience, strong Python and SQL skills, and a degree in Computer Science or related field.
As a Machine Learning Engineer on the Duo Security ML Infrastructure team, you will participate in designing and building systems to handle ML-powered applications and collaborate with various teams in the Data Science & Engineering organization. Responsibilities include working on high complexity technical problems, developing ML infrastructure capabilities, and supporting running models in production.
We are looking for a Senior Data Engineer to help us create solutions that leverage our next generation cloud-based data platform. You will design, develop, and deploy solutions on large scale trading data utilizing technologies such as Big Query, Looker, Cloud Functions, and more. You will build reporting infrastructure that enables users to access complex financial data with ease and deliver data sets that adhere to strict quality requirements to regulatory entities and vendors.
The Senior Site Reliability Engineer - Database at Iodine Software is responsible for managing and growing data platforms, collaborating with other SREs and Platform Engineering on infrastructure projects, consulting on database performance, and engineering new solutions for infrastructure growth.
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