AI Data Engineer: Build Scalable ML Data Pipelines

Flexjet LLC; Cleveland (OH); On-site; USD 90,000 - 130,000; Full time

Job summary

Flexjet LLC is seeking an AI Data Engineer in the United States to build and maintain data infrastructure powering ML systems in Cleveland, OH. You will work with data scientists, ML engineers, and software teams to ensure scalable, high-quality data pipelines for AI applications.

Responsibilities include designing pipelines, data cleaning, dataset preparation for training and inference, and governance practices to ensure data security and availability.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field
• Proficiency in Python and SQL
• Understanding of ETL/ELT, data modeling, and data warehousing
• Familiarity with ML workflows and data requirements
• Experience with data processing tools such as Pandas and Spark

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

ML workflows

Relational databases

Non-relational databases

Cross-functional collaboration

Analytical skills

Data quality

Education

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field

Tools

Pandas

Spark

Airflow

Prefect

Kafka

Hadoop

AWS

Azure

Google Cloud

Job description

Flexjet LLC is seeking an AI Data Engineer in the United States to build and maintain data infrastructure powering ML systems in Cleveland, OH. You will work with data scientists, ML engineers, and software teams to ensure scalable, high-quality data pipelines for AI applications.

Responsibilities include designing pipelines, data cleaning, dataset preparation for training and inference, and governance practices to ensure data security and availability.