Top Senior Data & Analytics Jobs in Washington, DC

Design, implement, and optimize scalable data pipelines and infrastructure on AWS. Maintain ETL artifacts, provide Tier 3 support, collaborate with stakeholders and a product team, document dataflows, and occasionally support off-hours deployments.

The role involves maintaining SailPoint IIQ infrastructure, troubleshooting issues, developing scripts, and collaborating across teams to enhance identity management solutions.

Lead end-to-end FOIA data migration projects into RelativityOne, define and prioritize migration tooling, author requirements and runbooks, engage agency customers, ensure FedRAMP-compliant handling of DT1 data, and drive continuous improvement and product feedback.

Design, build, and maintain MicroStrategy reports and dashboards. Create mockups, graphics, schema and public objects, perform testing, audit reporting, and troubleshoot discrepancies. Work with SQL/Teradata/SAS/Minitab and web HTML/ColdFusion environments. Gather functional requirements, present to senior management, and follow SDLC (Waterfall or Agile). Onsite at Washington, DC for a 6+ month contract.

Support CBP asset management by documenting processes, analyzing operational data, identifying gaps, and translating stakeholder needs into requirements. Develop reports, dashboards, briefings, and recommendations; support automation, data quality, governance, and project coordination.

Lead science data and knowledge management at Audubon, enhancing data accessibility and usage across various scientific programs while collaborating with IT and Conservation Teams.

Collect, analyze, and model operational data to identify problems and recommend solutions. Follow established evaluation processes, lead or direct others as needed, and use judgment to plan and accomplish goals. Support verification and clearance processes as required by government contracts.

Lead investment data strategy and architecture by analyzing datasets and workflows, defining logical models, metadata standards, and governance. Partner with front office and technology teams to identify quality/lineage issues, design scalable data services, influence AI and analytics initiatives, and drive cross-functional delivery from concept to implementation.

Lead design, build, optimization, and operation of scalable Databricks-based batch and streaming data pipelines for healthcare programs. Ensure DataOps, data quality, lineage, observability, CI/CD, and compliance with CMS and federal healthcare regulations. Collaborate with architects, data scientists, and stakeholders, troubleshoot production issues, and mentor junior engineers.

Lead architecture, implementation, and optimization of scalable data platforms, ETL/ELT pipelines, and data governance. Ensure security and compliance, mentor junior engineers, drive CI/CD and IaC for data workflows, and collaborate with stakeholders to deliver actionable analytics and reporting.