Top Remote Artificial Intelligence Data Engineering Jobs

Build and maintain Databricks-based ETL/ELT pipelines, transform and model data, optimize workflows, monitor and troubleshoot pipelines, and collaborate with cross-functional teams.

The role involves managing data infrastructure, building data pipelines, providing analytics to inform business decisions, and shaping AI workflows in the organization.

The Senior Data Engineer will build and manage data pipelines in Snowflake, integrate AI systems, and ensure data security and optimization while collaborating across teams to support revenue analytics.

As a Memory Developer, you'll record household tasks, shape the robot's memory, and help train its AI for better performance.

Nagarro seeks an Associate Principal Engineer in Big Data to leverage extensive IT experience for strategic organizational value. The role values self-starters and innovation.

The Senior/Staff Applied Scientist at Glean will enhance document indexing and retrieval algorithms, manage A/B testing platforms, and evaluate generative AI use cases, leveraging strong statistical and machine learning skills.

As a Data Scientist at HOPPR, you'll develop and implement data pipelines and MLOps practices, utilizing large datasets and collaborating across teams to enhance AI applications in healthcare.

Lead operational, strategic, and analytical initiatives to improve alerts, data coverage, and AI model ROI. Conduct R&D and data analysis, build algorithmic data streams, collaborate with cross-functional teams, and present strategic insights to inform decision-making.

The Junior Analytics Engineer will support data model development, automate data pipelines, and collaborate with stakeholders for data initiatives.

Lead and deliver enterprise AI-ready data platform transformations: design cloud-native architectures, prototype AI-assisted pipelines, embed governance and compliance, mentor teams, and partner with executives to modernize data systems for real-time analytics and AI use cases.