Top Data Engineer Jobs in Austin, TX
Seeking a Senior Visualization Specialist to define and implement high-quality, scalable visualization templates using PowerBI, Dash, React, and Tableau. Responsibilities include developing and maintaining PowerBI templates, ensuring system uptime, providing training to users, and assessing Python-based visuals for scalability.
Seeking a Senior Visualization Specialist to define and implement scalable visualizations using PowerBI, Dash, React, and Tableau. Responsibilities include developing PowerBI templates, ensuring system uptime, providing training, and connecting React with PowerBI.
Lead a team of Data Scientists and Machine Learning Engineers to create AI models that enhance business growth. Define strategy, implement AI use cases, solicit requirements, build accurate models, and educate business teams on model outcomes.
Data Research Specialist role at findhelp, responsible for verifying and maintaining program data, researching and adding new organizations, and responding to external requests. Entry level position with opportunities for career growth. In-office position located in Austin, Texas.
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Looking for a technical leader to shape the Machine Learning agenda for Dropbox's new initiatives, developing high impact ML solutions touching millions of users and large datasets. Responsibilities include collaborating with ML experts, building products, and shaping the direction of ML and AI at Dropbox.
Build and optimize software applications for machine learning, develop infrastructure for model training, enable rapid iteration in model training, collaborate with Data Engineers and Research Scientists for model deployment automation.
Seeking a Staff Machine Learning Engineer - MLOps Platform to design data pipelines and engineering infrastructure, evaluate new technologies, build CI/CD pipelines, support model development, and collaborate with product and engineering teams. Requires advanced degree or relevant experience in computer science or related fields, proficiency in Python, R, Spark, SQL, AWS, and MLOps frameworks.
As a Senior Data Engineer at dbt Labs, you will lead in building and managing data infrastructure, developing data pipelines, and collaborating with various teams to provide data solutions. Key responsibilities include designing and managing data pipelines, developing canonical datasets, ensuring data security and compliance, and participating in data architecture decisions.
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.
Design, develop, and automate secure, robust, and high-performing data platform solutions for CAIS using Python, Kotlin, Snowflake, DBT, and Kubernetes. Collaborate with cross-functional agile teams on mission-critical applications.
Top Companies in Austin, TX Hiring Data + Analytics Roles
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