Senior Data Engineer (AI)

TL;DR

Senior Data Engineer (Python/AWS): Designing and evolving data architectures for intelligent products with an accent on high-performance pipelines and large-scale processing frameworks. Focus on optimizing data models, implementing API integrations, and ensuring data reliability for Fortune 500 organizations.

Location: Fully remote within Latin America

Company

hirify.global helps U.S. companies build and scale world-class AI, ML, and Data teams, powered by the top 1% of LATAM talent.

What you will do

• Develop and maintain ETL processes using Python and efficient SQL queries.
• Design and optimize large-scale data pipelines using Databricks and Snowflake.
• Automate data delivery, validation, and augmentation processes to eliminate manual work.
• Develop API integrations to feed diverse data models.
• Partner with AI/ML engineers to architect new features and identify data sources and gaps.
• Implement scalable infrastructure using SQL and AWS big data technologies.

Requirements

• 5+ years of professional experience shipping high-quality, production-ready code.
• Strong foundations in computer science, including data structures, algorithms, and OOP.
• Proficiency with Python and experience with relational and NoSQL databases (Postgres, Cassandra, MongoDB).
• Experience with data warehousing tools like Databricks and Snowflake, and cloud platforms (AWS, GCP, or Azure).
• Hands-on experience with processing and orchestration tools such as Spark or Airflow.
• Excellent verbal and written communication skills in English.

Culture & Benefits

• Ownership through equity participation.
• Annual company retreat and company-wide winter break.
• Education bonus for continuous learning and tailored career roadmaps.
• Paid time off and optional in-person events.
• High-performance culture valuing transparency, curiosity, and authenticity.