Top Senior Data & Analytics Jobs in Washington, DC

Lead architecture and delivery of master data management solutions, drive large projects, improve data quality and operations, design taxonomies, and mentor teams to achieve operational excellence and client satisfaction.

Lead architecture and delivery of end-to-end Master Data Management (MDM) solutions, manage client engagements and teams, align MDM implementations with business objectives, mentor staff, and maintain quality and governance across data operations and stewardship.

Lead design and implementation of enterprise data architecture and cloud-based data solutions. Manage large data engineering projects, develop data models and pipelines, ensure governance and security compliance, advise clients strategically, and build high-performing inclusive teams.

The Staff Data Engineer will lead design and implementation of analytics platforms and data products, collaborate cross-functionally, mentor engineers, and drive best practices at Upside.

The Staff Implementation Engineer will lead complex data integrations, develop big-data pipelines, and mentor engineers, ensuring high standards for data security and governance.

The Senior Analyst in AML KYC will conduct detailed customer onboarding, monitor client relationships for compliance, and update KYC records while utilizing AI tools for efficiency.

Supports deployment of an FAA air traffic support system through data validation, reconciliation, quality control, and implementation documentation. Maintains databases, trackers, readiness information, checklists, repositories, and deployment records. Reviews source documents and materials records, identifies discrepancies, coordinates status collection, escalates issues, and incorporates lessons learned into procedures and future planning. The role requires advanced Excel, Microsoft 365 proficiency, strong organizational skills, independent judgment, and careful adherence to controlled processes.

Designs, implements, modernizes, and operates enterprise-scale economic data systems across ingestion, transformation, storage, quality validation, metadata, semantic modeling, visualization, dissemination, monitoring, and governance. Builds secure, scalable data products using modern cloud, lakehouse, warehouse, and distributed-processing technologies. Establishes DataOps, CI/CD, observability, lineage, and compliance controls; supports AI, machine learning, forecasting, and semantic search use cases; manages platform availability, infrastructure, roadmap, incidents, and stakeholder coordination.

Design and implement scalable enterprise data architectures and models, lead data governance and privacy/compliance efforts, guide migration of fundraising CRM, provide technical leadership to data engineering teams, improve data quality and reliability, document architectures, and occasionally perform hands-on data engineering using Python, SQL, dbt, and Dagster.

The Business Strategist will align client strategies with data analysis solutions, managing projects and analytics to provide insights and recommendations for business growth.

The Data Analyst will perform data profiling, quality assessment, and track data lineage, while effectively communicating insights and analysis across stakeholders.

The Lead Requirements Analyst will support Claims Project Requirements by demonstrating healthcare claims processing knowledge and leading requirements development initiatives using IIBA and PMP methodologies, while executing various requirements analysis techniques.

The Data Analyst will support the CCTI Audit & Balancing project, focusing on data flow analysis, documentation, SQL development, and coordination with stakeholders for data management.

The Senior IT Data Engineer will design and implement enterprise data architectures, develop scalable ETL/ELT pipelines, and support data-driven initiatives for the Federal Reserve Board.

The Senior IT Big Data Developer will design and optimize data architectures, develop ETL/ELT pipelines, support data integration, and ensure compliance with data governance standards.