Top Data Engineer Jobs in Austin, TX
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.
Design and build data pipelines, document database designs, monitor and optimize production systems, perform code reviews, and work with cloud technologies and databases.
Design and build data pipelines and systems. Own data warehouse management. Provide continuous data analysis. Collaborate with engineering and executive team. Define and develop data engineering standards.
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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.
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.
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.
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.
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