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Top Senior Level Data Engineer Jobs in Washington DC,
The Senior Database Administrator is responsible for managing the ADABAS Database environment, including installation, customization, maintenance, performance tuning, security management, disaster recovery planning, and the implementation of new technologies. They collaborate with development teams to optimize database queries and support both structured and unstructured data management.
As an Analytics Engineer, you will create and optimize data models, work with product and engineering teams to ensure accurate data generation, collaborate with stakeholders on project timelines, and improve data processes using various analytics tools.
The Data Engineering Manager will lead a team of engineers in developing and maintaining scalable data infrastructure, overseeing data pipelines, ensuring data quality, collaborating with cross-functional teams, managing projects, and contributing technically to optimize performance.
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The Oracle Data Relationship Management (DRM) Consultant will lead DRM-related projects, design and maintain DRM applications, ensure data quality, integrate DRM with existing systems, and provide support and training to users. The role includes participation in Agile Scrum teams and continuous improvement initiatives to optimize performance.
The Senior SQL Database Administrator will be responsible for application programming, problem-solving coding errors, and creating documentation. They will communicate with stakeholders, work on data flow transformations, manage SQL Server data warehouses, and perform ETL tasks using SSIS and SSRS.
The Senior Data Engineer will create and maintain data pipelines in a cloud environment, manage data from various sources, and support Big Data infrastructure and cross-domain data transfer for DHS. A top-secret clearance is required, along with extensive experience in data management and various programming languages.
The Database Administrator is responsible for managing, supporting, and developing databases for TNS products. This includes tasks such as backup and recovery, troubleshooting SQL bugs, maintaining data integrity, and providing 24x7 on-call support. The role requires extensive knowledge in various database technologies and leading projects.
The Director of Data Science & AI will lead a team in producing advanced analytics and AI solutions, support strategy implementation through data mining and predictive modeling, and ensure effective communication of complex data insights. Responsibilities include driving AI advancements, collaboration with product teams, and applying innovative data science practices to enhance business applications.
In this role, you'll improve processing efficiency of data by automating forecasting pipelines, monitoring system performance, and optimizing workflows. You'll work with distributed computing to handle large-scale data, ensuring a scalable infrastructure for growth while collaborating with engineers and data scientists to provide valuable insights for new products and customer service.
The Senior DBA is responsible for managing and maintaining the database infrastructure, ensuring high performance and availability, and collaborating across teams to implement new technologies. Key responsibilities include schema deployment, privilege management, monitoring systems, and enhancing database architecture for global expansion.
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