Top Senior Level Data & Analytics Jobs in Washington DC,

The Staff Data Engineer will design, develop, and maintain data architecture and standards for Data Integration & Data Warehousing projects in BigQuery. They will develop data solutions, document data flows, aid in data governance, and mentor other engineers to improve healthcare data visibility and processes.

The Senior Data Engineer is responsible for designing, developing, and maintaining data infrastructure, creating scalable data pipelines, and ensuring data quality and governance. They collaborate with various teams to meet data needs and stay updated on new data technologies.

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 Senior Data Analyst will predict revenue and margins to guide marketing and sales decisions, providing actionable insights and solutions to improve business decisions. This role involves analyzing data, maintaining performance reports and dashboards, and collaborating with various teams to drive data-driven strategies.

The Senior Business Intelligence Manager will lead a team of analysts and data engineers to deliver scalable data solutions. Responsibilities include managing data workflows, optimizing BI initiatives, and ensuring data quality and governance while collaborating with cross-functional teams to drive data-driven decision-making and operational excellence.

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.