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
Remote first. We're a fully distributed company, and our interaction culture is deliberately mixed between meeting culture and written. We're writing heavy because it forces clarity of thought; we have plenty of synchronous time to give space for collaborative ideation.
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
Top Skills
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