Top Remote Data & Analytics Jobs in San Diego, CA

Maintain and improve eligibility and claims data feeds, analyze feed performance and errors, troubleshoot discrepancies, work with external feed providers to map and test integrations, and help improve internal tools, documentation, and processes.

The Senior Data Engineer II will design and maintain scalable data pipelines, collaborate with teams on machine learning workflows, and ensure data accessibility across systems.

The Analytics Engineer will manage BI modeling, create dashboards, ensure data quality, and collaborate with customers and teams for reporting needs.

Lead Pager Health’s enterprise data and reporting strategy, build a centralized data and reporting shared services function, own internal dashboards and client-facing analytics, partner with Product and Engineering on data architecture and governance, mentor data teams, prioritize and deliver data initiatives, and drive continuous improvement in tooling, automation, and data storytelling to support growth, efficiency, and client outcomes.

The Senior Data Engineer will architect, build, and maintain scalable data pipelines and infrastructure, mentor junior engineers, and collaborate on data solutions for Openly's insurance platform.

The Senior Data Engineer will own and evolve data pipelines, collaborate with teams for data models and pipelines, optimize ETL processes, and implement data storage solutions.

The Senior Data Engineer will design and maintain data infrastructure and pipelines, ensuring data integrity and supporting analytics for a nonprofit organization.

Design, implement, and monitor QC processes and bioinformatic analyses for high-throughput RNA-based microarray and NGS LDT diagnostic products run in CLIA labs. Develop algorithms, author SOPs and validation documentation, troubleshoot operational issues with cross-functional teams, and build dashboards/visualizations (Tableau, R Shiny) to track lab performance and identify trends.

The Sr Bioinformatics Scientist will develop secondary analysis algorithms for cancer treatment decisions based on molecular profiles, collaborating on R&D studies and providing technical guidance.

Lead strategy, delivery, reliability, and adoption of enterprise data platforms for research and clinical workflows. Build and scale cloud data architectures, enforce governance (metadata, lineage, catalog), ensure GxP and regulatory compliance, drive analytics and AI/ML readiness, manage teams, budgets, vendor relationships, and operational excellence to enable reproducible, traceable scientific analysis and production-grade analytics.