Data Engineer - Data Platform

Location: San Bruno, California, United States

Salary: $185,000–$210,000 base per year, excluding benefits and potential equity.

Company

hirify.global is a waste prevention technology company building systems and infrastructure that transform food scraps into valuable resources and help keep food out of landfills.

What you will do

• Design, build, and maintain scalable data pipelines across product and operational systems.
• Manage reliable data infrastructure that feeds external customers and downstream analytics.
• Collaborate with software engineers to instrument product features and ensure clean event data flows.
• Build and maintain the self-serve analytics platform using Hex and Snowflake.
• Maintain metrics, table endorsements, and business logic used by analysts and business stakeholders.
• Own data quality monitoring, alerting, validation frameworks, and observability tooling.

Requirements

• 3–5 years of experience operating production data engineering systems.
• Production experience with Python, SQL, and tools such as dbt, Airflow, or Fivetran against a cloud data warehouse such as Snowflake.
• Experience using Infrastructure as Code tools such as Terraform or Pulumi, with CI/CD practices for pipeline and infrastructure changes.
• Experience working with transactional databases such as PostgreSQL or Amazon RDS and understanding the difference between OLTP and analytical workloads.
• Ability to collaborate with data consumers as partners and adapt across different types of work.
• A bias toward action.

Nice to have

• Exposure to recommendation, personalization, or LLM-based product logic.
• Experience building or supporting self-serve analytics tools such as Hex or Looker.
• Understanding of distributed systems concepts including partitioning, consistency, and fault tolerance.
• Experience with Mixpanel, Tableau, event tracking, product analytics, data contracts, data mesh, or warehouse access governance.

Culture & Benefits

• Work closely with product, engineering, data analytics, and marketing teams.
• Partner with data consumers across the business to support self-serve analytics.
• Opportunity to grow into recommendation and LLM-based product data work.
• Benefits and potential equity grant are provided in addition to the base salary.