Top Senior Level Data Engineer Jobs in Washington DC,

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 Data Analytics Specialist will collaborate with public safety professionals, providing expert support and developing data analytics solutions. Responsibilities include creating dashboards, training personnel, gathering feedback, and enhancing services, while ensuring clear communication between technical teams and clients.

In the role of Data Engineer at Hiveon, you will develop and support enterprise-level statistics services, design data storage solutions, optimize queries, and create impactful reports for high-load HPC business management. You will collaborate with development teams and perform database performance monitoring and improvement tasks.

The Power BI Data Integration Specialist will design and develop Power BI solutions, integrate real-time data pipelines, and create optimized data models. Responsibilities include advanced query development, deployment and administration of Power BI services, collaboration with stakeholders, performance tuning, and documentation of technical processes. The role requires strong expertise in real-time data processing and data visualization.

Senior Data Engineers are responsible for coding in Scala and C#, developing APIs and ETL pipelines, and optimizing processes for data-driven solutions in Azure. They ensure productivity and guide junior engineers while fostering a strong team culture. Proficiency in big data technologies and DevOps practices is essential.

The Oracle Banner Database Administrator is responsible for supporting Oracle databases and related tools for multiple clients, managing updates and patches, conducting database tuning and optimization, and providing technical leadership for Ellucian Banner products in a higher education context.

As a Senior Data Engineer at Spokeo, you will develop, optimize, and improve data technologies including ETL processes and data pipelines. Your role will involve working with AWS and tools like Airflow and PySpark to create automated data solutions, develop data products, and ensure data quality and governance.