Top Data Engineer Jobs in Austin, TX
The Data Engineering Manager at PwC will design and develop data solutions, manage data pipelines, and ensure efficient data processing. They will lead and mentor teams, manage project execution, and uphold company standards, while integrating business insights into data architecture.
As a Marketing Data Engineer, you will develop scalable ETL/ELT pipelines, manage cloud-based data warehouses, implement data integration solutions, and ensure data quality. Collaborating with Go-To-Market teams, you will support analytics and enable machine learning initiatives by preparing and optimizing data workflows.
As a Data Engineer at Snap Inc, you will develop and maintain data pipelines, ensuring timely access to high-quality datasets for stakeholders. You will communicate complex processes to non-technical users, support governance principles, and drive data set adoption while managing on-call responsibilities.
The Data Engineer IV will create and maintain systems for data operations, work with raw data at scale, and implement data processing systems. Responsibilities include developing scripts, maintaining data integrity, collaborating with teams, and designing machine learning data pipelines.
Seeking highly skilled Staff Prognostics Engineer with 10+ years of experience in advanced diagnostics and prognostics products. Responsibilities include providing guidance, developing software architecture, collaborating with teams, and driving innovation in prognostics methodologies.
As a Senior Data Engineer, you will focus on building and maintaining data infrastructure, creating and optimizing ETL pipelines, and collaborating with analysts to ensure efficient data delivery. This role requires innovations in database design and proactive monitoring of data consistency.
The Senior Data Engineer at Babylist will enhance the company's data platforms focusing on building and scaling Machine Learning pipelines. The role involves collaborating with product managers, analysts, and data scientists to implement data solutions that support product growth and innovation.
The Staff Data Engineer will design, develop, and deploy data engineering solutions utilizing cloud-based technologies and data analytics frameworks. The role involves collaborating with multi-disciplinary teams, ensuring adherence to data engineering standards, and driving initiatives for continuous improvement within the organization.
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The Senior Data Engineer will design and implement ETL processes and monitoring solutions, document datasets for data warehouse users, and provide technical support, primarily to the Data Science team. They will also collaborate with other departments to translate business needs into development tasks.
The Marketing Technology Data Engineer will oversee data architecture for data integration, transformation, and activation. Key responsibilities include building solutions for real-time and batch data management, developing CI/CD data models, improving data quality, and leveraging Google Cloud tools. Collaboration with cross-functional teams is essential to meet product and client needs.
As a Data Engineer II, you'll build and maintain data solutions for transferring data between applications and a data warehouse. Your role includes improving data quality and availability, developing CI/CD data models, and leveraging Google Cloud tools for data processing. You'll collaborate with product and engineering teams, ensuring robust data pipelines and monitoring for efficiency.
The Staff Data Engineer at Visa will develop new capabilities for AI, redesign existing functionalities, collaborate with project teams, and ensure high-quality delivery of data-driven solutions while managing risks. Responsibilities include hands-on design, implementation, and testing of new functionalities.
Design and build data models to support Data Science and Business Intelligence, develop APIs and data products, monitor data pipelines, coordinate cross-team efforts, and work with business partners to document requirements.
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As a Senior Data Engineer at CrowdStreet, you will build a new data platform, manage data pipelines, and collaborate with various teams to derive insights from data. Your role encompasses the full software development lifecycle and requires direct interaction with business stakeholders to align data needs with platform capabilities.
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