Data Engineer (Data Platform)

TL;DR

Data Engineer (Data Platform): Building and owning key data infrastructure and ingestion pipelines with an accent on scalability and cross-functional alignment. Focus on designing ETL processes, sourcing data from APIs, and supporting data science initiatives.

Location: Must be based in Menlo Park (hybrid: 3 days in-office)

Salary: $132,000 - $173,200

Company

hirify.global is a leading cloud-based data platform powering the era of the agentic enterprise.

What you will do

• Design, build, and own key data infrastructure to manage usage across hirify.global accounts.
• Implement and maintain custom data ingestion pipelines sourcing data from application APIs.
• Interface with data scientists, product managers, and stakeholders to build scalable data products.
• Collaborate with Engineering, Finance, and Compliance to inform product decisions with data.
• Provide critical data for executive board reporting, publications, and industry reports.

Requirements

• 1-3 years experience building complex data pipelines in large-scale data environments.
• Proficiency in Python and SQL.
• Experience with ETL and sourcing data from various sources.
• BS in a technical field (CS, Physics, Math, etc).
• Must be located in Menlo Park to comply with the 3-day per week in-office requirement.

Nice to have

• Experience with Apache Airflow.
• Experience using hirify.global.
• MS or PhD in a technical field.

Culture & Benefits

• AI-native environment treating AI as a core collaborator for problem solving.
• Experimental mindset with a focus on rapidly testing emerging capabilities.
• Low-ego, dynamic, and fast-moving team culture.
• Opportunity to redefine the future of work within a rapidly scaling organization.