Top Remote Artificial Intelligence Data Engineering Jobs

Lead design and implementation of data infrastructure, pipelines, and integrations using cloud platforms. Manage teams and client accounts, ensure data quality, security, and compliance, deploy scalable solutions (Databricks, Snowflake), mentor junior staff, and identify data-driven business opportunities.

The Senior Staff Data Engineer will design scalable data systems, lead technical direction, optimize data platforms, and ensure data quality and performance for Observability & Insights.

Lead modernization of legacy ETL to cloud architectures (ADF, Snowflake), design reusable ingestion/transformation frameworks, ensure security and governance, support production incidents, drive CI/CD and automation, and promote engineering standards and AI-enabled tooling to improve data delivery and operational reliability.

The Complex Data Exchange Specialist manages data integration processes, ensuring high-quality data exchange between clients and systems, while mentoring peers and driving process improvements.

The Solutions Architect leads client integration of Cedar's platform, ensuring successful project delivery through client communication and technical expertise while managing complex data structures and operational workflows.

The Log Specialist at Dynatrace leads log management initiatives, collaborates with sales, architects data ingestion solutions, and advocates for enhanced log consumption strategies.

The Senior Data Engineer will design data models, build and manage ETL pipelines, contribute to data governance, and explore integrations with AI. Responsibilities include collaboration with teams to ensure data quality and consistency.

The role involves building large, scalable analytics pipelines, defining data models, integrating data, and collaborating on data architecture and strategies.

The Data Engineer will design and build scalable data systems, contribute to the architecture of the data platform, and collaborate with AI/ML engineers to enhance automation and intelligence in Canoe's systems.

The Senior Data Center Administrator is responsible for data center operations including inventory management, logistics, vendor coordination, and capacity planning. The role requires technical expertise and strong communication skills to ensure efficient data center environments across multiple locations.