Top Remote Data & Analytics Jobs

Manage ingestion, processing, QC, and production workflows for litigation cases. Diagnose and resolve complex eDiscovery data issues, document chain of custody, advise on data strategy, and partner with Product and Engineering to improve the platform.

Design, build, and maintain cloud data infrastructure and ETL/ELT pipelines using Microsoft data technologies. Develop and optimize T-SQL scripts and star-schema data models, support data quality, governance, and security, and participate across the full lifecycle from requirements to deployment and monitoring.

The Research Engineer will advance decentralized AI by optimizing distributed training, developing open-source tools, publishing research, and enhancing platform capabilities.

Senior technical leader defining Subaru of America's enterprise data architecture strategy across platforms, integration, governance, analytics, and security. Shapes 3-5 year data strategy, drives architecture standards, enables AI/agentic workflows, leads cross-functional solutions, mentors teams, and represents SOA externally to advance data capabilities and compliance.

Lead technical architecture and hands-on implementation of IAA's Azure-based data platform. Design and build scalable, production-grade data pipelines, semantic models, and data products for BI, analytics, forecasting, and ML. Define standards, mentor engineers, resolve performance and scalability challenges, and drive platform strategy across Fabric, Synapse, Power BI, and related Azure services.

Participants record 1,000 short ASL or BASL videos to aid AI understanding of signed requests, working independently while following specific instructions.

Own RevOps data models and BI infrastructure to drive GTM strategy. Clean and analyze datasets, build predictive models, define and track leading/lagging KPIs, deploy dashboards, document data definitions, and deliver executive-ready insights while partnering cross-functionally with Finance and GTM teams.

Join Kled to help build the future of human data collection and design systems that influence AI data training through a consumer application.

The Data Scientist will work on data analysis, visualization, and reporting, utilizing various tools to assist stakeholders' needs.

Design, build, and maintain scalable data pipelines, lakes, and infrastructure using Databricks, Spark, Python, and AWS. Collaborate with ML engineers, data scientists, and analysts to deliver data products, ensure data quality and governance, implement DevOps/SDLC practices, mentor junior engineers, and evaluate new data technologies.