Top Senior Level Data Engineer Jobs
The ServiceNow Data Architect is responsible for establishing data architecture standards, ensuring the quality and usability of the ITSM CMDB, defining the Common Services Data Model standard, and managing configuration management policies and processes. This role involves collaboration with stakeholders to align product demand with data requirements and maintaining the CMDB maturity roadmap.
The Head of Edge Data Strategy and Solutions will drive the global strategy for expanding DaaS offerings, identifying growth opportunities, and negotiating large partnerships. The role requires a deep understanding of data services and generative AI to enhance client experiences and lead a team through transformations while fostering innovation and collaboration.
The Director of Data Strategy and Analytics will lead the strategy and analytics function to empower Sales, Marketing, and Customer Success by developing data-driven insights and performance management systems. Responsibilities include building analytics capabilities, managing a team of analysts, and conducting complex analyses for strategic decision-making.
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As a Senior Data Engineer at Hinge, you'll design and optimize data pipelines, support foundational product services, and collaborate with teams to drive data-driven decisions. You'll enhance the Data Engineering stack, advocate best practices, and maintain analytics data for insights and strategies while ensuring smooth operations through on-call participation.
The Senior Data Engineer will design and implement ETL processes in a cloud environment, develop monitoring solutions, document datasets, and collaborate with the Data Science team. This role requires building ETL processes and a strong understanding of data modeling.
As a Principal Data Engineer, you will drive the direction of the Data Warehouse, design and optimize ingestion pipelines, and mentor team members. You will ensure data accuracy, monitor pipelines, comply with regulatory requirements, and collaborate with internal teams for comprehensive data integration.
As a Senior Analytics Engineer at Spring Health, you will develop and maintain data models using dbt, collaborate with finance and data analysts to define business metrics, ensure data quality and consistency, and create documentation to enhance data access for teams.
The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure, focusing on optimizing data for AI/ML models. Responsibilities include leading the creation of data warehouses, ensuring data quality, and collaborating with cross-functional teams to meet data requirements for machine learning applications.
As a Machine Learning Engineer on the On-Device ML team, you will design and prototype new features, build and implement ML models, collaborate with product teams, and launch and monitor model deployments, all aimed at enhancing Grammarly's writing assistance capabilities on devices.
The Director of Data Science and Machine Learning will lead the Machine Learning, Data Science, and Product Analytics teams, drive data-powered insights for product performance, and collaborate across departments to optimize business growth. Responsibilities include team leadership, defining strategic vision, fostering collaboration, and overseeing the development of ML and DS models.
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