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.
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.
The senior engineering manager will lead a team of engineers to build and scale Dropbox's AI offering, Dash. They will be responsible for driving product monetization, fostering a collaborative culture, and providing strategic direction.
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Design and build reusable data integration components, frameworks, and libraries at scale to support Operational Data Store / Enterprise Data Lake Platforms.
Sr. Machine Learning Engineer responsible for building globally distributed, fault-tolerant, and highly scalable ecosystems using Large Language Models. Prior experience with LLMs is not required. Create techniques and systems for model evaluation, build metrics, system automation, and collaborate across teams for solutions.
Data Engineer position at CrowdStrike requiring strong programming skills in Golang and experience with large volumes of data and distributed system design. Responsibilities include designing and building services for machine learning products, building automation tools, and maintaining production data systems.
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.
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Design, develop, and maintain software applications using SQL, Python, Snowflake, Kafka, Kubernetes, Docker, AWS, and Terraform. Participate in the software development lifecycle, collaborate with product teams, build and support distributed systems, deploy data intensive systems, and improve observability in data environments. Requires 5 years of related experience.
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.
ForeFlight is looking for an experienced Machine Learning Engineer in Austin to work on extracting aeronautical information from documents. The ideal candidate should have education or experience in machine learning, be proficient in Python, and have a specific interest in computer vision for geospatial analysis.
Sr. Manager for Data Governance responsible for leading the strategy, planning, and implementation of an Enterprise Data Governance program. Will lead teams in technical and business evaluation of Data Governance tools, drive Azure policy management, and collaborate with various teams to ensure effective data governance outcomes.
As a Staff Machine Learning Engineer at Striveworks, you will be responsible for leading and executing machine learning projects for commercial and government clients. You will develop machine learning models and custom analytics solutions and automate data pipelines and algorithms. This is a remote work position with regular travel.
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