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Top Remote Senior Level Data Engineer Jobs in Washington DC,
As a Senior Data Engineer, you will develop a cloud-based data transformation solution for the U.S. Army, managing data pipelines and communicating design decisions. This role requires architectural thinking, programming skills, and coordination with multiple teams to ensure the successful delivery of a secure product.
The Senior Data Engineer will build data ingestion and processing infrastructure using tools like Spark and AWS. Responsibilities include creating a data resolution framework, developing CI/CD pipelines, solving complex data problems, and collaborating with engineering and product teams on data-related issues.
The Staff Data Engineer will focus on big data engineering, data wrangling, and analysis, emphasizing building data pipelines and implementing IT solutions in the healthcare sector. Collaborating with data engineers, analysts, and scientists, the role involves creating scalable and efficient software architectures while utilizing modern tools like Databricks and AWS services.
The Senior Data Engineer at Bluesight will build and maintain robust data architectures and infrastructure, develop data governance practices, support data products, and collaborate with engineering and external customers to enhance medication workflows. The role involves using various data orchestration tools and programming languages, while ensuring effective communication about data implementations across teams.
Seeking a highly experienced Senior Data Engineer to develop and maintain the data architecture of an AI-powered platform for clinical-stage biotech companies. Remote position with significant overlap with Los Angeles working hours.
As a Senior Data Engineer at Bluesight, you will design and maintain robust data architectures, facilitate effective data stewardship, and develop customer-facing data products. You'll work closely with engineering teams, product owners, and external clients to create and enhance data pipelines and governance practices, ensuring optimal purchasing decisions for hospital buyers.
The Staff Machine Learning Engineer will develop and fine-tune machine learning models, apply statistical techniques to analyze unstructured data, utilize pre-trained language models, optimize models for production, monitor performance, and work with teams to enhance product features and solutions.
The Senior Sales Business Intelligence Analyst will be responsible for designing, developing, and maintaining BI solutions to enable effective decision-making. This involves collaborating with stakeholders to understand reporting needs, creating user-friendly dashboards, and driving initiatives to improve reporting tools. The role requires strategic thinking and problem-solving skills, and an ability to communicate insights to senior management.
As a Senior Analytics Engineer, you will support decision-making by creating data models, improving telemetry collection, and building data quality tests. You will work closely with subject matter experts and lead the development of analytical tools in a cross-functional team environment.
The AI Data Leader will develop and implement an AI and data strategy, oversee innovation in AI technologies, collaborate with teams to implement solutions, build a high-performing team, drive data management and governance, supervise AI development, and ensure compliance with regulations.
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