Top Hybrid Data Engineer Jobs
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The Machine Learning Engineer will work on NLP projects for Grammarly's Enterprise team, focusing on building AI products and capabilities that enhance communication in organizations. The role involves applying ML technologies, collaborating with cross-functional teams, and innovating to solve technical challenges at scale.
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As a Director, Data Platform & Data Engineering at Navan, you'll lead the strategy and execution of data initiatives, manage a skilled team of data engineers, and collaborate with various departments to optimize data platforms for business intelligence and reporting. You'll ensure data integrity, security, and compliance while driving innovative solutions for the company.
The Senior Machine Learning Engineer will design, develop, and deploy AI/ML solutions for clinical research, manage ML pipelines, and ensure optimal performance and compliance of ML models, collaborating with cross-functional teams and maintaining comprehensive documentation.
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The Principal Analytics Architect will lead the Tableau function and data strategy for the Marketing Intelligence Team at Morningstar. Responsibilities include developing analytics reporting suites, collaborating with cross-functional teams, building cloud data environments, mentoring junior analysts, and optimizing Tableau dashboards to drive marketing effectiveness.
As a Senior Product Delivery Associate in Machine Learning Operations Intelligence, you will manage product delivery, support change initiatives, and collaborate with cross-functional teams to enhance efficiencies and ensure compliance. Your role involves communication with stakeholders, managing product roadmaps, and continuously improving agile practices.
As a Compliance Data Analytics Project Manager at JPMorgan Chase, you will provide data analytics and reporting expertise to the Compliance OLO program team, design solutions using intelligent automation tools, monitor project executions, and ensure timely project completion. You will also collaborate with other IA teams and technology teams to drive process improvements and unlock value through innovative solutions.
The Machine Learning Engineer II will develop and improve machine learning solutions for inventory optimization, work with data scientists to enhance analytics capabilities, automate system operations, design ETL pipelines, and create applications for stakeholder interaction with ML systems.
The Senior Machine Learning Engineer will design and build services for ML modelers, integrate data streams to create efficient models, and lead MLOps initiatives. The role involves collaborating with various teams to enhance ML tools and infrastructure while maintaining production software and developing new solutions.
The Senior Database Administrator will implement and maintain database operations, conduct performance tuning, review database design, manage backups, monitor utilization, and provide training. Responsibilities also include troubleshooting support tickets and ensuring compliance with DoD directives.
As a Senior Data Engineer at Two Barrels, you will manage data, focusing on infrastructure, ETL pipelines, and scalable database design. Responsibilities include improving data models, collaborating with analysts, and automating processes to enhance efficiency while ensuring data integrity.
The Supervisor-Vendor Relationship Manager role focuses on enhancing vendor governance, collaboration, and strategic initiatives. The candidate will use technical expertise to build products, manage projects, and execute advanced data analytics, utilizing various tools for integration, visualization, and automation, especially within the Microsoft Power Platform.
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