Top Data Engineer Jobs
As a Database Administrator, you will support a mission-critical federal customer, providing daily interfacing and communication. Responsibilities include developing new applications, maintaining legacy apps, and using SQL tools to monitor databases. You will create complex SQL queries and oversee the installation and maintenance of databases within a Kubernetes and Linux environment.
The Senior Director of Engineering and Data Science at Fluence leads software engineering and data ops teams, focusing on developing AI-based solutions and aligning initiatives with business goals. The role involves shaping architectural decisions, optimizing performance, and fostering a culture of innovation. Collaboration with executives and mentoring team members are also key responsibilities.
The Manager, Identity and Data Management leads the information security unit, overseeing the monitoring and assurance of security systems against unauthorized access. They evaluate data systems, coordinate security enhancements, manage a budget, train staff, and ensure compliance with regulations, while also representing the organization in various capacities.
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The Analytics Developer III oversees database analytics and reporting services, translating customer requirements into technical specifications. They manage data collection and validation, develop solutions using advanced BI tools, and analyze data to drive clinical and operational improvements. The role includes mentoring junior staff and requires strong communication skills.
The Data Streaming Manager will lead the Pipeline team to build and maintain a high-volume, reactive microservices data pipeline that processes millions of events in real-time from hotels globally. Responsibilities include coaching engineers, driving technical improvements, and collaborating across teams.
The Data Streaming Manager will lead a team responsible for creating and maintaining a cloud-native, distributed stream-processing pipeline that handles millions of real-time events daily from hotels worldwide. Responsibilities include coaching engineers and driving technical improvements.
Lead the design and development of data architecture supporting data modeling, integration, and delivery standards. Collaborate with cross-functional teams to optimize data lakes, enhance data strategy, and ensure robust analytics usage.
The Senior Data Science Consultant at DesignMind will lead client engagements, build machine learning systems, and mentor teams while communicating with stakeholders. Responsibilities include data modeling, statistical analysis, and delivering insights through documentation and presentations.
The Senior AWS Data Engineer will expand and optimize data and data pipeline architecture, ensuring optimal data delivery for cross-functional teams. Responsibilities include designing ETL workflows, managing data lake schemas, coding transformation logic, and implementing standards for data ingestion and security.
The Analytics Engineer will work on developing and optimizing AI tools for the logistics sector, utilizing a strong background in machine learning and statistics. Responsibilities include participating in the software development life cycle, conducting research, and enhancing machine learning infrastructure within production environments.
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