AI Data Engineer

Flexjet; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

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

The role involves designing and maintaining data pipelines for AI/ML workflows, collating clean data, and developing datasets for model training, validation and inference, while ensuring data quality

Qualifications

• Bachelor's degree or equivalent experience in CS/Data Engineering/IS or related field.
• Strong programming skills 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 e.g. 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/ML workflows.
• Collect, clean and preprocess structured and unstructured data.
• Develop 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

Pandas

Spark

Cloud platforms

Education

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

Tools

Pandas

Spark

Airflow

Job description

POSITION SUMMARY

Flexjet is seeking a detail oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems In this role you will work closely with data scientists ML engineers and software teams to ensure high quality reliable and scalable data pipelines for AI applications

DUTIES & RESPONSIBILITIES

• Design, build and maintain data pipelines for AI and machine learning 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

REQUIRED SKILLS & QUALIFICATIONS

• Bachelors degree in Computer Science Data Engineering Information Systems or related field or equivalent experience


• Strong programming skills in Python and/or SQL


• Understanding of data engineering concepts ETLELT data modeling data warehousing


• Familiarity with machine learning workflows and data requirements


• Experience with data processing tools e.g Pandas Spark


• Knowledge of relational and non relational databases


• Basic understanding of cloud platforms AWS Azure or Google Cloud

PREFERRED QUALIFICATIONS

• Experience supporting machine learning or AI projects


• Familiarity with big data technologies eg Apache Spark Kafka Hadoop


• Experience with data pipeline orchestration tools eg Airflow Prefect


• Knowledge of MLOps practices and tools


• Experience working with unstructured data text images etc


• Understanding of data governance and privacy standards


• Strong analytical and problem solving skills


• Attention to detail and data quality


• Ability to work with cross functional teams


• Good communication skills


• Ability to manage multiple data workflows