Top Senior Data & Analytics Jobs in Washington, DC

Analyze Medicaid and T-MSIS data to implement CMS payment model functions, including attribution, payment calculations, and quality measurement. Translate policy into specifications, SQL code, analytic files, and documented methodologies. Assess cross-state data quality, link Medicaid and Medicare sources, perform quality assurance, reconcile results, and communicate findings to technical and non-technical audiences. The role also involves code review, knowledge sharing, and supporting federal healthcare consulting engagements.

Designs scalable data architectures, ELT/ETL pipelines, data models, quality frameworks, and self-service data platforms. Partners with engineering, product, program, leadership, and data science teams to translate business needs into technical solutions. The role includes end-to-end technical ownership, large-scale batch and streaming data processing, mentoring junior engineers, system optimization, and on-call support for platform stability.

Supports client data and analytics engagements by designing validation approaches, building data integration and transformation solutions, analyzing data quality issues, testing pipelines with SQL, documenting findings, and recommending corrective actions. The role collaborates with clients, manages workstreams, mentors junior team members, and applies Agile methods while delivering risk and regulatory data solutions.

Own analytics engineering for the machine infrastructure supply chain team. Build and maintain semantic layers, trusted data models, metrics, dashboards, and analytics-ready datasets using dbt and modern data platforms. Analyze inventory trends, optimize stock levels, investigate discrepancies, and develop supply chain KPIs. Partner with data engineering, finance, product, operations, planners, and buyers while improving inventory planning, replenishment, ERP processes, and warehouse efficiency.

Lead data analysis projects to help merchant partners understand Upside's impact, manage analytics relationships, and improve product strategy.

Analyze derivatives-market data and develop regulatory reporting standards, schemas, validation rules, mappings, and technical guidance. Review exchange submissions for errors, duplicates, missing fields, anomalies, and cross-dataset mismatches using SQL Server and Redshift. Support data loading, UAT and production troubleshooting, stakeholder coordination, industry working groups, and onboarding of new market participants while maintaining data integrity for CFTC reporting.

Maintains the ADEA Data Portal and research data platform, including dashboards, datasets, documentation, functionality, privacy, and security. Collects, cleans, validates, analyzes, and reports dental education data using surveys, administrative sources, scraping, and databases. Develops spreadsheet and interactive visual reports, supports members and vendors, contributes to automation and algorithms, and ensures data integrity and regulatory compliance.

Designs, builds, and maintains scalable batch and streaming data pipelines across AWS and GCP. Develops ETL/ELT workflows using Python, PySpark, and advanced SQL; optimizes performance, storage, and query execution; implements data quality and governance controls; and supports data lakes, warehouses, and ML workflows. Collaborates with data scientists and ML engineers on MLOps automation and production deployments while maintaining CI/CD, Docker, infrastructure standards, and technical documentation.

Leads enterprise data architecture, SQL Server administration, data warehouse design, ETL/ELT pipelines, Azure data platforms, data governance, master data management, and business intelligence strategy. Partners with business and IT stakeholders to deliver scalable analytics solutions across financial, HR, CRM, operational, and practice management systems. Provides technical leadership, vendor coordination, architecture documentation, and mentorship.

The Data Governance Analyst administers data governance platforms and processes, including enterprise data catalogs, Databricks Unity Catalog, metadata, lineage, data stewardship, MDM, privacy compliance, and data quality initiatives. The role leads catalog roadmaps, supports Osano, coordinates with data owners and engineering teams, monitors governance adoption and metrics, and develops scalable governance standards and procedures.