Top Remote Senior Level Data & Analytics Jobs in Washington DC,

The Legal Technology Consulting Manager will oversee and manage client projects in eDiscovery, ensuring exceptional service delivery, mentoring team members, and driving business development initiatives. Responsibilities include implementing eDiscovery technology solutions, conducting assessments, enhancing processes, and fostering strong client relationships.

As a Data Engineer at Vytalize Health, you will design, build, and maintain scalable data pipelines and systems. Your role involves collaborating with cross-functional teams to ensure data quality and integrity, implementing data storage solutions, and optimizing for performance. You will also document processes, ensure data security, and stay updated with emerging technologies in data engineering to support organizational growth.

The Senior Data Engineer will manage the ingestion, validation, transformation, and storage of healthcare data. Responsibilities include designing scalable data pipelines using Databricks and PostgreSQL in AWS, maintaining data quality standards, optimizing performance, and mentoring team members while collaborating across departments to meet data needs.

As a Data Architect, you will lead and expand the Data Platform initiatives, overseeing the development and maintenance of the Enterprise Data Platform, including a Serverless Data Lake and Cloud Data Warehouse while managing a high-performing data team.

The VP, Enterprise Data Sales at Predactiv will lead the adoption of DaaS solutions within the Advertising & Marketing ecosystem. Responsibilities include developing sales strategies for complex enterprise prospects, enhancing customer engagement with the Predactiv Data Platform, preparing technical presentations, and identifying upsell opportunities to drive revenue growth.

As a Senior Machine Learning Engineer at Concurrency, you'll design and engineer ML systems, collaborating with data science teams to solve diverse customer problems. You'll leverage your expertise in supervised, unsupervised, and deep learning, using tools like Python and SQL, while influencing project direction and designing production solutions in a cloud development environment.

As a Senior Data Analyst at Privacy.com, you will own analytics for the consumer business, produce insights for stakeholders, develop data models, partner with customer experience teams, and design A/B tests to enhance user experience.