Top Senior Data & Analytics Jobs in Washington, DC

Designs, administers, secures, and optimizes complex enterprise database environments for federal mission-critical applications. Responsibilities include performance tuning, backup and recovery, data modeling, migration, integration, warehousing, analytics support, technical troubleshooting, process improvement, architecture collaboration, and compliance with federal security and data management requirements.

Analyze, clean, validate, and transform data from multiple sources; build Kibana dashboards and visualizations; maintain data pipelines and self-service analytics assets; document data models and workflows; and translate findings into actionable recommendations for technical and non-technical stakeholders.

Designs, builds, and maintains scalable Azure data pipelines and ELT frameworks using Databricks, SQL, Python, and PySpark. Implements Azure DevOps CI/CD, monitoring, security, infrastructure automation, and production support. Collaborates with BI teams on Power BI datasets, documents data solutions, participates in Agile delivery, and mentors junior engineers. The role requires strong data modeling, structured and semi-structured data expertise, performance tuning, and data governance awareness.

Designs, builds, and operates enterprise data lakes, warehouses, lakehouses, ETL/ELT pipelines, databases, and reporting platforms. Prepares governed, model-ready data for AI and machine learning, supports feature stores and embedding workflows, administers relational databases, optimizes queries and dashboards, and ensures data quality, security, availability, and disaster recovery. Collaborates with technical and business teams, reports to senior management, and mentors data engineers.

Lead migration of Informatica PowerCenter ETL workloads from on-premises Oracle infrastructure to Oracle Cloud Infrastructure. Assess, configure, migrate, validate, troubleshoot, and optimize enterprise ETL processes across environments. Develop data reconciliation and source-to-target validation, resolve performance and connectivity issues, coordinate cloud and database dependencies, and maintain migration documentation, test plans, runbooks, and recovery procedures. Support production readiness, change control, defect resolution, security processes, and knowledge transfer for the VA Enterprise Data Warehouse.

Develops dashboards, reports, scorecards, and analytical products using BI and visualization tools. Analyzes and integrates data from multiple sources, performs trend and performance analysis, translates stakeholder needs into reporting requirements, and presents insights to technical and non-technical audiences. The role also supports reporting validation, quality controls, data governance, documentation, and collaboration with data engineers, data scientists, and federal program stakeholders.

Analyzes marketing and CRM data, builds KPI dashboards, provides campaign and business development recommendations, and manages Salesforce administration, automation, audits, permissions, and data quality. The role validates integrations, supports migrations, troubleshoots system discrepancies, identifies enrichment opportunities, and provides user onboarding, training, and documentation. It collaborates across marketing and business development teams to improve prospecting, relationship management, cross-selling, client acquisition, and retention.

Build and maintain enterprise BI dashboards, data models, reporting layers, data quality metrics, and governance reporting for USDA human capital systems. Translate stakeholder requirements into scalable BI products, support Databricks Lakehouse architecture and migration, manage metadata and data lineage, develop validation scripts, coordinate user acceptance testing, and ensure data quality, security, and governance compliance.

Conduct primary quantitative and qualitative research from project setup through delivery. Develop surveys and discussion guides, manage fieldwork, vendors, timelines, and quality control, analyze findings, and create data-driven client presentations and reports. Lead smaller projects and workstreams, support focus groups and interviews, identify actionable insights, and guide junior team members.

Designs, develops, and supports data integration and migration pipelines connecting Microsoft Dataverse and Power Platform with cloud, SaaS, and on-premises systems. Builds ETL/ELT workflows using Azure Data Factory, SSIS, Dataflows, and Power Automate; develops REST API integrations; manages secure connectivity; and performs data mapping, transformation, validation, monitoring, and troubleshooting. The role also documents technical designs, supports testing and production operations, optimizes performance, and applies security best practices.