Senior Data Engineer (AI)

TL;DR

Senior Data Engineer (AI): Building and maintaining scalable data architectures and pipelines for AI-driven products with an accent on Medallion Architecture and cloud-native data solutions. Focus on optimizing ETL workflows, managing Snowflake data warehouses, and enabling AI teams with high-quality data.

Company

hirify.global is an AI-native organization that designs, builds, and scales meaningful AI-powered solutions to transform business operations.

What you will do

• Design and maintain scalable data architectures and models.
• Develop ETL and data ingestion pipelines using Medallion Architecture principles.
• Build and optimize Snowflake data warehouse solutions and dbt transformation models.
• Implement workflow orchestration using Dagster or similar tools.
• Manage cloud-based data storage on AWS S3.
• Collaborate with AI and Data Science teams to ensure reliable data consumption.

Requirements

• 5+ years of experience as a Data Engineer.
• Strong proficiency in SQL, Snowflake, and dbt.
• Hands-on experience with AWS S3 and workflow orchestration tools like Dagster.
• Experience with PostgreSQL or Supabase.
• English proficiency: B2+/C1 required.
• Note: This is a 6-month temporary opportunity with the possibility of extension.

Culture & Benefits

• High-performance culture focused on excellence and transparency.
• Collaborative environment working across design, development, and AI.
• Opportunity to work on AI-native transformation projects at scale.
• Emphasis on continuous improvement and professional growth.