Top Artificial Intelligence Data & Analytics Jobs

The Data Infrastructure Engineer will centralize data capabilities, improve data pipeline architecture, and ensure efficient data access across teams while optimizing GCP usage.

As an AI Engineer, you'll work closely with customers to understand their needs, train and deploy models, and build scalable AI systems.

The candidate will support design, development, and maintenance of business intelligence visualizations using Microsoft Power BI, focusing on high performance reports.

The VP of Data will lead data strategy, manage data infrastructure, ensure data security, drive business insights, and integrate AI across the company.

Lead and build the analytics function across GTM, revenue, and product. Own end-to-end reporting, multi-touch attribution and MMM, product instrumentation, BI infrastructure, and translate data into executive recommendations to drive growth.

As a Data Engineer, you will architect and maintain the data systems, create pipelines and integrations, and ensure data quality for analytics and reporting.

Build and automate zero-config ingestion pipelines for major marketing and CRM platforms, transform third-party JSON into analytical schemas, map event data into unified identity/event streams, and integrate Martech data into the core ClickHouse/ML environment.

As a GIS Specialist, you will apply geospatial analysis techniques, manage databases, and collaborate with engineers and scientists on projects.

As a Founding Data Engineer, you'll build ETL pipelines, design scalable data models on AWS, and process complex healthcare data to improve patient care.

Design and implement real-time and batch data pipelines (MQTT/Redpanda, Dagster), parse binary message formats, build data warehouses (Postgres, Iceberg, Parquet, S3), design high-performance data models, validate and normalize sources, and improve local development and CI/CD with GitHub Actions to support maritime domain awareness and defense-related AI workloads.