Data Engineer (AI)

Location: San Francisco, United States; on-site

Salary: $150,000–$250,000 per year, plus equity

Company

hirify.global is an early-stage AI-native automation platform that builds intelligent agents for enterprise workflows and operational automation.

What you will do

• Build and own the first unified data warehouse, including data modeling, pipelines, quality, performance, and documentation.
• Consolidate data from production PostgreSQL databases and SaaS systems covering product usage, CRM, marketing, billing, support, and finance.
• Partner with product, engineering, go-to-market, and operations stakeholders to define trusted business metrics and clear data requirements.
• Design self-serve BI models and push clean, reliable data back into the tools used across the business.
• Build internal data tools and AI-powered agents that turn recurring data questions into self-serve answers.
• Set data engineering standards and make tooling, vendor, architecture, governance, and security decisions for the growing data function.

Requirements

• 5+ years of experience in data engineering and business analytics, including hands-on ownership of warehouses and pipelines.
• Expert SQL, PostgreSQL, and strong Python for pipeline development, scripting, and tooling.
• Experience building a modern data warehouse or lakehouse from scratch using technologies such as Snowflake or Databricks.
• Experience with ETL/ELT and modern data-stack tools such as Fivetran and dbt.
• Hands-on AWS and Terraform experience for cloud data infrastructure.
• Ability to own data projects end to end, translate business questions into usable data models, and work effectively in a fast-growing startup.

Nice to have

• Experience building internal data tools or LLM-based agents.
• Familiarity with orchestration, transformation, streaming, and self-serve analytics tooling.
• Experience with Go, gRPC, React, TypeScript, Kubernetes, AWS, and Terraform.
• Early-stage startup or zero-to-one development experience.
• Degree in Computer Science or a related engineering field.

Culture & Benefits

• Meaningful early-stage equity.
• Comprehensive health coverage and flexible paid time off.
• Daily lunches and snacks, on-site gym access, and regular team events and offsites.
• Culture focused on innovation, ownership, accountability, and growth.