Top Remote Senior Level Data Engineer Jobs in Austin, TX
As a Senior Data Engineer, Applied Analytics & Insights, you will play a crucial role in delivering future-focused, consumer-centric, prescriptive solutions for GM's transition to EVs. Collaborate with cross-functional teams to develop high-quality data products compliant with data privacy regulations. Stay up-to-date with emerging Data Engineering trends and technologies to drive innovation within the organization.
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.
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.
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.
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.
Support Database Migrations, Query Optimization, Index Tuning, Database Tuning. Define Architecture and Data Models. Work with Development Teams, Maintain Security Standards, Monitor Databases, Establish Access Schemes, Write Documentation.
Lead a high-performing team of data analysts and modeling specialists, support a large and evolving FP&A organization with complex data and analytics needs, collaborate with cross-functional teams to inform strategic decisions, and empower data literacy across the Finance group.
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.
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