Top Remote Senior Level Data & Analytics Jobs in Washington DC,

The Principal Data Engineer will lead a team responsible for defining, planning, and delivering data engineering solutions while driving the development of modern data platforms. Responsibilities include overseeing data pipeline design, mentoring staff, solving complex development problems, and documenting best practices.

The Senior Pricing Analyst will be responsible for creating accurate pricing proposals and cost estimates for federal contracts, analyzing RFPs, preparing financial documents, and collaborating with internal teams to ensure compliance and competitiveness. This role requires strong analytical skills, attention to detail, and the ability to manage multiple projects under tight deadlines.

As an Azure Data Architect, you will design and implement innovative data solutions to fulfill advanced analytical needs, build resilient data platforms, lead teams, and enhance technical capabilities in a cloud environment. Your role will include developing data ingestion and integration systems, improving data product quality, and mentoring teams.

The Principal BI Engineer will lead the design and implementation of scalable ETL/ELT processes and data models, mentor a team of BI developers, and oversee the development of advanced BI solutions. This role involves optimizing data pipelines, ensuring adherence to best practices, and collaborating with cross-functional teams to translate business requirements into actionable BI solutions.

As a Senior Research Associate, you will oversee AI training projects, manage a performance-driven team, establish workflows, and ensure quality in deliverables. Responsibilities include setting KPIs, conducting quality audits, mentoring junior staff, and contributing to process improvements.

The Senior Data Engineer at Kalibri Labs will design, develop, and deploy scalable data pipelines. Responsibilities include mentoring other data engineers, optimizing data processes, and collaborating with cross-functional teams. The role requires managing data availability and integrity while implementing automated testing and maintaining integration pipelines.

Leading and collaborating on the engineering design, development, and deployment of features and projects. Responsible for writing clean, reusable code, improving code structure for maintainability, and solving problems in collaboration with colleagues and clients.