Data Engineer (AI)

TL;DR

Data Engineer (AI): Building and maintaining robust data pipelines and infrastructure for ML applications with an accent on data quality, lifecycle management, and AI-ready dataset delivery. Focus on designing scalable ETL/ELT processes, orchestrating complex workflows, and bridging the gap between raw industrial data and model training requirements.

Location: Remote (Brazil)

Company

hirify.global is an industrial technology company that combines hardware and software to provide predictive maintenance solutions for frontline workers.

What you will do

• Design and maintain robust data pipelines for diverse sources including APIs, documents, and raw sensor data.
• Integrate and optimize ETL/ELT processes to improve performance and maintainability.
• Manage the full dataset lifecycle from raw ingestion to training-ready delivery.
• Build and maintain labeling pipeline infrastructure for ML applications.
• Define and enforce data quality standards and governance practices.
• Participate in architectural decisions and technical mentorship within the team.

Requirements

• 3+ years of experience in data engineering.
• Proficiency in Python for data manipulation and automation.
• Strong SQL skills for data modeling and query optimization.
• Experience with workflow orchestration tools like Airflow, Temporal, or Dagster.
• Experience with distributed data processing using Spark or Databricks.
• Familiarity with streaming systems and event-driven pipelines like Kafka or Kinesis.

Nice to have

• Experience with Go for high-performance components.
• Knowledge of dbt and open table formats like Delta Lake or Iceberg.
• Cloud experience, specifically OCI, AWS, GCP, or Azure.
• Experience with data annotation workflows or GenAI tooling.

Culture & Benefits

• Competitive salary and stock options.
• 30 days of paid annual leave.
• Education and courses stipend.
• Unique travel benefit: a trip anywhere in the world every 4 years.
• Comprehensive health and dental insurance.
• Wellhub and sports incentive program.