Data Engineer (Ecommerce AI)

TL;DR

Data Engineer (Ecommerce AI): Develop and optimize data integrations, ETL workflows, and measurement frameworks for an AI-powered ecommerce product discovery platform with an accent on SEO/GEO data visibility and traffic analysis. Focus on building scalable data pipelines, API integrations, and internal tools to support SEO experiments and product teams.

Location: Fully remote

Salary: $80,000–$120,000 USD

Company

hirify.global is a US-based AI-first ecommerce search and product discovery platform serving major brands with a focus on optimizing ecommerce metrics like revenue and conversion rate.

What you will do

• Build and maintain data integrations and ETL/ELT workflows using SQL, Python, and PySpark
• Develop frameworks and tools for SEO/GEO visibility and performance measurement
• Collaborate with product teams to adapt enriched content for external discoverability
• Create internal tools to support SEO experiments and best practice adoption
• Analyze and model landing pages and traffic sources including AI-driven traffic

Requirements

• Strong SQL and Python skills including libraries like pandas and numpy
• Experience with APIs and authentication protocols such as OAuth2
• Understanding of ETL/ELT workflows and PySpark
• Experience building data integrations and extracting logic from unstructured data
• English proficiency at least B2

Nice to have

• Experience with BigQuery or similar data warehouses
• Basic knowledge of JavaScript execution and SEO fundamentals
• Experience with BI systems like Looker, Metabase, or Superset
• Experience with logs or event handling systems

Culture & Benefits

• Unlimited vacation time with encouragement to take at least 3 weeks per year
• Fully remote work with home office stipend and Apple laptops provided
• Annual training and development budget
• Maternity and paternity leave for qualified employees
• Regular team offsites and a collaborative environment