Top Remote Data & Analytics Jobs in Washington, DC

As a P&C Actuary, you will assess risks for insurers, support audit teams, and maintain compliance with regulations, while growing client relationships and improving tools for efficiency.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

The Engagement Manager will oversee the data modernization lifecycle, coordinating with partners to implement modern data platforms and manage multiple concurrent engagements effectively.

As a GIS Specialist, you will apply geospatial analysis techniques, manage databases, and collaborate with engineers and scientists on projects.

Lead architecture and hands-on engineering to design, scale, and govern a cloud-native lakehouse using Databricks and Microsoft Fabric. Build batch/streaming pipelines, ensure HIPAA-compliant PHI handling, produce analytics-ready datasets, mentor engineers, and drive platform strategy, governance, and reliability.

Lead design and implementation of the commercial data and systems foundation for launch and growth. Own Salesforce-led commercial systems, integrations, data warehouse, MDM, analytics enablement, governance, and scalable delivery to support commercial operations, reporting, and compliance.

Design, build, and maintain scalable data pipelines and tooling to support AI and analytics. Manage datastores (MySQL, Redshift, OpenSearch), implement AWS-based ETL/ELT solutions, collaborate with data science and product teams, and ensure data quality, automation, and production reliability.

The Data Analyst I at Acorns will analyze data, optimize customer journeys, and collaborate with teams to provide actionable insights for product improvement.

The Revenue and GTM Insights Lead is responsible for developing dashboards, analyzing data, providing insights, and supporting revenue strategies across multiple functions.

The Sr. Data Architect will define enterprise data architecture strategy, deliver data products, ensure data governance, and drive analytics capabilities.