[Hiring] Software Engineer - Ingestion & Integrations @DataHub

Role Description

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.

Qualifications

• 3-7 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 compensation reflecting your skills, experience, and impact.
• Equity for everyone, providing an ownership stake in the company.
• Remote Work: All roles are remote unless otherwise specified.
• Location flexibility with a monthly coworking stipend.
• Comprehensive health coverage covering 99% of medical, dental, and vision premiums for employees, and 65% for dependents.
• Flexible savings accounts (FSAs) for healthcare costs.
• Support for every path to parenthood through Carrot Fertility.
• Unlimited PTO and sick leave policy designed for flexibility.

Company Description

DataHub 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.