Top Data & Analytics Jobs

The Senior Data AppOps Engineer will build and support data applications, troubleshoot issues, perform system monitoring, and participate in production support activities.

The Senior Data Engineer will build and maintain data systems, collaborating in an Agile environment to optimize data engineering solutions, lead innovation, mentor juniors, and enhance data analytics capabilities.

The Staff Data Engineer will design and implement data warehousing solutions, lead design discussions, mentor engineers, and tackle complex data challenges while ensuring data quality and insights delivery.

As a Data Operations Engineer III, you will ensure data availability, integrity, and accessibility, improve observability, automate tasks, enhance data quality, and support onboarding of new data assets.

The Lead Data Engineer drives business insights through data analysis, collaborates with ML and Data teams, and ensures data quality and integrity.

The Senior Data Engineer will improve data platforms, implement best practices, and lead initiatives across business teams using various cloud and big data technologies.

The Sr Data Engineer will lead the Ceded Reinsurance Integration Initiative, develop scalable data pipelines, mentor junior engineers, and consult with cross-functional teams while utilizing Agile practices.

You will design and build data-driven Streamlit apps, automate analytics pipelines, and monitor application performance while collaborating with platform engineers.

The Senior Data Engineer will develop, maintain, and optimize data pipelines and architectures using Snowflake on Azure while ensuring data reliability and performance.

Design and develop data solutions, optimize ETL/ELT pipelines, integrate ML models, collaborate with engineers, and operationalize analytics for semiconductor R&D and operations.

The Data Integration Developer will create and maintain data integrations, troubleshoot issues, and support data analysis and reporting for internal and external systems.

The Senior Data Engineer leads the development of data services and solutions, designs data models, and implements improvements in data architecture, ensuring high-quality data processing and compliance with business needs.

The Data Quality Engineer ensures data integrity by developing quality frameworks, monitoring systems, and enhancing data quality standards while ensuring compliance and supporting decision-making.

Design and build optimized data pipelines, develop data models, implement CI/CD pipelines, and lead a team of Data Engineers while integrating with cloud platforms like AWS and GCP.

Lead the design and development of scalable data solutions, improve Ad Relevancy, and mentor junior engineers in a collaborative environment.

As a Data/Analytics Engineer VP, you will manage the lifecycle of data assets, ensure data quality, and create dashboards while collaborating with AI and data science teams.

Design and maintain cloud-based data infrastructure and workflows to support ML model training and deployment for IoT applications, collaborating with various engineering teams.

The Senior Data Engineer will build and maintain data infrastructure, optimize data pipelines, ensure data quality, and support strategic initiatives across teams.

The Senior Data Platform Developer will build and maintain machine learning platforms, manage AI applications, and integrate data processes for Geotab's infrastructure.

Develop and maintain data infrastructure platforms for real-time processing, support data integration, and optimize systems at scale.

Design, build, and maintain scalable data infrastructure in the cloud using AWS services and Infrastructure as Code to ensure data reliability and performance.

As a Senior Data Engineer at Speak, you'll design and implement data infrastructure, optimize architectures, support ML projects, and collaborate across teams to enhance language learning experiences.

The Lead Data Engineer will develop data infrastructure, manage event structures, design storage architecture, and mentor engineers for better data practices.

The Senior Data QA Engineer will develop and execute test cases for ETL processes and data warehouse validation while performing moderate data analysis and overseeing test management functions.

As a Senior Data Engineer, you will design robust ETL processes, maintain data infrastructure, and collaborate to optimize data access and analytics.