Top Data Engineer Jobs in Washington DC,
The Data Visualization Specialist will engage with teams to design and build accurate data visualizations from various data sources, aiding decision-making for stakeholders and development teams. Responsibilities include creating new visualizations, fixing data issues, and participating in planning meetings, all while fostering collaboration in a diverse and distributed team.
The Senior Data Visualization Developer will lead the design and development of interactive visualizations and dashboards, collaborating with researchers and UI/UX designers to create user-friendly solutions. The role requires expertise in front-end technologies and back-end services, while ensuring security and compliance standards are met, along with continuous improvement of data visualization processes.
Business Intelligence SMEs design and implement business intelligence applications, develop test plans, and manage data integration processes. They may oversee junior staff to ensure successful completion of data warehousing tasks.
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 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 Applied Data Science Associate program at DataRobot trains individuals to become Customer Facing Data Scientists, focusing on AI solutions for federal customers. Responsibilities include data preparation, model building, application development, and supporting customer engagements through the DataRobot platform after a structured training program.
The Principal Analytics Engineer at HubSpot will be responsible for building and optimizing data pipelines, fostering innovation with emerging technologies, guiding team development, and leading major data projects. They should have expertise in modern data tools, SQL, data modeling, and ETL, among other skills.
The Senior Data Engineer will design and build components for data analytics products, clean and optimize data for usage, and implement new data management projects while collaborating with multiple stakeholders and adhering to best practices in development and deployment.
You will lead and mentor a team providing data insights and analytics for Nike's digital operations, creating dashboards and optimizing processes while collaborating with various departments to meet reporting needs.
The Lead Data Engineer at NIKE USA is responsible for developing and testing systems and solutions, managing a team, overseeing design components, ensuring adherence to engineering standards, troubleshooting complex issues, mentoring engineers, and collaborating with product managers for innovative software solutions.
As a Data Scientist III, you will design and operationalize advanced analytics and AI solutions using AWS. You will mentor junior data scientists, develop models in a Jupyter environment, and deploy them in production. Strong problem-solving skills and experience in the healthcare sector are essential.
The Principal Data Architect will lead data integration and analytics efforts, collaborating with Data Science and Marketing teams. Responsibilities include designing data models, building data pipelines, improving integration practices, and ensuring service quality. They will work on enhancing data-driven marketing insights and maintaining high-quality data processes.
Top Companies in Washington DC, Hiring Data + Analytics Roles
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