Top Remote Data & Analytics Jobs in Washington, DC

Lead company-wide data governance and standards, enforce data contracts and schema/version control, manage PII/RBAC and master data, establish data-quality metrics and monitoring, grow and run the governance team, remain hands-on with data profiling and SQL, and use AI to accelerate governance work and modeling.

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

The Staff SDET will design and implement a testing strategy for the organization’s data platform, ensuring data quality and system reliability through automated integration testing and mentoring engineers in testing best practices.

The Solutions Architect leads client integration of Cedar's platform, ensuring successful project delivery through client communication and technical expertise while managing complex data structures and operational workflows.

Lead design and implementation of data architecture and reliable ETL processes to move data between heterogeneous sources and targets. Troubleshoot and resolve data architecture issues, collaborate with business analysts and technology teams, set up and test systems, and optimize ETL performance to support domestic resilience initiatives.

Administer and maintain SAP IQ database environments across development, test, and production; develop and support ETL workflows using SAP Data Services; ensure data quality, performance tuning, and complex SQL optimization; collaborate with stakeholders and provide technical troubleshooting and support while adhering to security and governance requirements.

Data Scientists at BlueLabs build predictive models, collaborate on analytics products, and tackle complex data challenges while ensuring high data quality.

Lead client-facing analytics engagements: translate ambiguous business questions into data models, dashboards, and KPIs; write production-quality SQL and dbt models; build BI reporting; apply AI tools to accelerate analysis; drive proactive insights; set stakeholder cadence; and mentor junior analysts to ensure adoption and delivery.

Design and govern Axiom's enterprise data model, establish data governance and quality standards, manage a Data Engineer, align data architecture roadmap with enterprise strategy, administer Databricks, enable AI data access (MCP), and liaison with Product, Operations, and Data Science to ensure accessible, documented, and reliable data assets.

Support the design, build, and maintenance of scalable data pipelines and data management systems using cloud platforms. Assist in ETL, data transformation, reporting, and dashboard creation (Power BI/Tableau). Troubleshoot pipelines, help integrate new technologies (including AI/ML tools), ensure data security/compliance, and communicate with finance/accounting stakeholders across multiple client engagements.