Data Engineering Job Market Trends

An in-process SQL OLAP database management system designed for analytical query workloads, known for its performance and efficiency.

A company that provides data annotation services for machine learning models, specializing in image, text, and video datasets. Their platform enables organizations to efficiently and accurately label data for AI model training.

Responsible for managing and ensuring the integrity of databases within an organization. Key tasks include data entry oversight, generating reports, and maintaining data quality standards.

A suite of tools and models for working with LLMs, offering capabilities for fine-tuning, querying, and managing large language models.

Refers to data that is distributed across multiple locations or systems, rather than being stored in a central repository.

Specializes in the integration of biology and computer science to process and analyze biological data. Plays a critical role in biotechnological and pharmaceutical research and development.

Responsible for managing and maintaining PostgreSQL databases. Ensures data availability, performance, and security within organizations.

Works closely with clients to develop and implement software solutions, often on-site, ensuring they meet specific needs and requirements.

A platform that provides tools and infrastructure for managing and analyzing data for artificial intelligence applications.