AI Data Engineer

Cleveland, OH, US • Posted 3 days ago • Updated 22 minutes ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Training
  • Collaboration
  • Data Storage
  • Scalability
  • Regulatory Compliance
  • Computer Science
  • Information Systems
  • Python
  • SQL
  • Data Engineering
  • ELT
  • Data Modeling
  • Data Warehouse
  • Data Processing
  • Pandas
  • Relational Databases
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Google Cloud
  • Google Cloud Platform
  • Machine Learning (ML)
  • Artificial Intelligence
  • Big Data
  • Apache Spark
  • Apache Kafka
  • Apache Hadoop
  • Extract
  • Transform
  • Load
  • Orchestration
  • Machine Learning Operations (ML Ops)
  • Unstructured Data
  • Data Governance
  • Privacy
  • Analytical Skill
  • Problem Solving
  • Conflict Resolution
  • Attention To Detail
  • Data Quality
  • Communication
  • Management
  • Workflow

Summary

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

Bachelor's 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 (ETL/ELT, 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 (e.g., Apache Spark, Kafka, Hadoop)

Experience with data pipeline orchestration tools (e.g., 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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91125802
  • Position Id: c4acf7add92f5b890baad755a40f6df6
  • Posted 3 days ago
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