Data Engineer (AI-focused)

Zohorecruit; Miami (FL); On-site; USD 95,000 - 130,000; Full time

Job summary

Zohorecruit in Miami, FL is seeking a Data Engineer to build and maintain scalable data pipelines for AI/ML use cases. You will design architectures for structured and unstructured data and prepare datasets for training, fine-tuning, and inference.

You should have 2–5+ years in data engineering, strong SQL and Python skills, and experience with ETL/ELT pipelines and tools like Airflow, dbt, and Spark. Collaboration with ML teams and a focus on data quality, governance, and reliable data delivery

Qualifications

• 2–5+ years of experience in data engineering.
• Strong SQL and Python skills.
• Experience with ETL/ELT pipelines and big data tools.
• Familiarity with data requirements for ML/AI systems.
• Strong problem-solving and system design skills.

Responsibilities

• Build and maintain scalable data pipelines for AI/ML use cases.
• Design data architectures for structured and unstructured data.
• Prepare datasets for training, fine-tuning, and inference.
• Ensure data quality, reliability, and governance.
• Collaborate with ML and AI teams on data needs.

Skills

SQL

Python

ETL/ELT

Data modeling

Data governance

Big data tools

Tools

Airflow

dbt

Spark

Job description

Miami, United States | Posted on 03/24/2026

We work with teams building data foundations for AI—and we’re looking to connect with Data Engineers who can structure, move, and scale data for intelligent systems.

If you’re passionate about clean pipelines and powering AI with the right data—we’d love to hear from you.

Responsibilities

• Build and maintain scalable data pipelines for AI/ML use cases
• Design data architectures for structured and unstructured data
• Prepare datasets for training, fine-tuning, and inference
• Ensure data quality, reliability, and governance
• Collaborate with ML and AI teams on data needs

Qualifications

• 2–5+ years of experience in data engineering
• Strong SQL and Python skills
• Experience with ETL/ELT pipelines and big data tools
• Familiarity with data requirements for ML/AI systems
• Strong problem-solving and system design skills

Experience with

• Airflow / dbt / Spark
• Data warehouses (Snowflake, BigQuery, Redshift)