Software Engineer

DataHub, built by Acryl Data, is an AI & Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility.

The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI & data to work together and bring order to data chaos.

In this role, you will

• Enhance the Python-based ingestion framework to support ingesting usage statistics, lineage, and operational metadata from systems like Snowflake, Redshift, Kafka, & more!
• Build connectors for major systems in the modern data and ML stacks
• Enable the ingestion framework to run in a cloud native environment

Requirements:

• Minimum 4 years of engineering experience
• Expertise in Python 
• Familiarity with tools in the modern data and ML ecosystem
• Knowledge of distributed systems
• Ability to design for scale and fault tolerance

Benefits

• Competitive salary
• Equity
• Medical, dental, and vision insurance (99% coverage for employees, 65% coverage for dependents; USA-based employees)
• Carrot Fertility Program (USA-based employees)
• Remote friendly
• Work from home and monthly co-working space budget