Software Engineer

DataHub is an AI & Data Context Platform used by over 3,000 enterprises, including major companies like Apple, CVS Health, Netflix, and Visa. It's developed in collaboration with a large open-source community of over 13,000 members. DataHub's metadata graph offers deep context for AI and data assets, boasting exceptional scalability and extensibility.

DataHub Cloud, the company's enterprise SaaS offering, provides a fully managed solution incorporating AI-powered discovery, observability, and governance. Organizations leverage DataHub to speed up their data investments' time-to-value, ensure AI system reliability, and implement unified governance, thereby bringing order to data chaos and enabling AI & data to work cohesively.

About the Role

In this position, you will focus on enhancing the Python-based ingestion framework. This includes adding support for ingesting usage statistics, lineage, and operational metadata from key systems such as Snowflake, Redshift, Kafka, and more. You will also build connectors for major systems within the modern data and ML stacks and adapt the ingestion framework to operate in cloud-native environments.

Requirements

• 3-7 years of engineering experience.
• Expert proficiency in Python.
• Familiarity with tools commonly found in the modern data and ML ecosystem.
• Knowledge of distributed systems.
• Proven ability to design systems for scalability and fault tolerance.

Benefits and Perks

We are committed to supporting our employees so they can perform at their best and enjoy their work. Our benefits are designed to be practical, thoughtful, and foster long-term growth.

Competitive Compensation: We offer salaries that match your skills, experience, and the impact you deliver.

Equity for Everyone: All team members receive an ownership stake in the company, aligning your growth with ours.

Remote Work & Location Flexibility: While roles are generally remote, please confirm specifics in the job description. We support your ideal work setup with a monthly coworking stipend for flexibility or in-person collaboration.

Comprehensive Health Coverage: We cover 99% of medical, dental, and vision premiums for employees and 65% for dependents.

Flexible Savings Accounts: FSAs are available for healthcare costs, with an option for a Dependent Care FSA for family needs.

Support for Parenthood: Through Carrot Fertility, we offer inclusive fertility benefits and family-forming support to all U.S. employees.

Flexible Time Off: Our unlimited PTO and sick leave policy allows you to take the time you need for rest and personal life.

Why Join Us

DataHub is experiencing significant growth, having achieved product-market fit, gained the trust of leading enterprises, and secured funding from top investors. The context platform market is projected to grow substantially, and DataHub is at the forefront. Joining us means:

• Tackling high-impact challenges central to enterprise AI infrastructure.
• Shipping production systems that support real-world use cases at a global scale.
• Collaborating with a talented team that has experience scaling influential data tools.
• Building the next generation of AI-native data systems, including conversational agents and intelligent governance solutions.

If you are passionate about technology, enjoy customer interaction, and want to be part of a rapidly growing company transforming the industry, we encourage you to apply.