Top Senior Level Data Engineer Jobs in Austin, TX
Managing and leading a team of software engineers on the Data Access team. Collaborating with development teams, mentoring engineers, contributing to projects, and delivering high-quality solutions. Required skills include Java, SQL, and experience with distributed systems at scale.
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Seeking a Senior Machine Learning Engineering Manager to lead a team in creating and deploying machine learning models for search. Responsibilities include managing the ML lifecycle, researching and implementing ML techniques, mentoring team members, hiring top talent, and communicating with stakeholders. Requires a Master's or PhD in a quantitative subject and 5+ years of team management experience.
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.
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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.
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.
Design and build reusable data integration components, frameworks, and libraries at scale to support Operational Data Store / Enterprise Data Lake Platforms.
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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.
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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