AI Data Engineer: Build Scalable Pipelines for ML

LV Aero, LLC; Cleveland, Northern (OH, KY); Hybrid; USD 100,000 - 150,000; Full time

Job summary

Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure powering machine learning and AI systems. You will work with data scientists, ML engineers, and software teams to ensure high-quality, scalable data pipelines for AI applications.

The role emphasizes data collection, cleaning, preprocessing, dataset management for training and inference, and ensuring data governance and security across environments. Collaboration and strong communication are essential.

Qualifications

• Bachelor’s degree in CS/Data Eng/IS or equivalent experience.
• Strong programming skills in Python and/or SQL.
• Understanding of ETL/ELT, data modeling, data warehousing.
• Familiarity with ML workflows and data requirements.
• Experience with data processing tools (Pandas, Spark).
• Knowledge of relational and non-relational databases.
• Basic understanding of cloud platforms (AWS, Azure, or Google Cloud).

Responsibilities

• Design, build, and maintain data pipelines for AI and ML workflows.
• Collect, clean, and preprocess structured and unstructured data.
• Develop and manage datasets for model training, validation, and inference.
• Collaborate with ML engineers and data scientists to support model development.
• Ensure data quality, integrity, and availability across systems.
• Optimize data storage and retrieval for performance and scalability.
• Implement data governance, security, and compliance best practices.
• Monitor and troubleshoot data pipeline issues.

Skills

Python

SQL

ETL/ELT

Data modeling

Data warehousing

Data quality

Cross-functional collaboration

Education

Bachelor's degree in Computer Science / Data Engineering / Information Systems

Tools

Pandas

Spark

Airflow

Kafka

Hadoop

Cloud platforms (AWS/Azure/GCP)

Job description

Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure powering machine learning and AI systems. You will work with data scientists, ML engineers, and software teams to ensure high-quality, scalable data pipelines for AI applications.

The role emphasizes data collection, cleaning, preprocessing, dataset management for training and inference, and ensuring data governance and security across environments. Collaboration and strong communication are essential.