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Weekend Ai Data Engineer Jobs in Ohio (NOW HIRING)

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

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 ...

AI Data Engineer

Cleveland, OH

$111K - $133K/yr

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 ...

AI Data Engineer

Cleveland, OH

$111K - $133K/yr

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 ...

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... Working experience with ThoughtSpot, Snowflake, semantic data layers, and AI for analytics or ...

The AI Data Analyst partners with data engineering, AI, and governance teams to assess data readiness, identify gaps and recommend improvements. This role does not own endtoend data pipelines and is ...

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

You will work with an AI Data Engineer (data ingestion, curation, governance, platform foundations) and a Lead AI Solutions Architect (end-to-end solution architecture, integration patterns, non ...

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

As a Data Engineer - Cloud/AI, you will design, build, and maintain scalable data pipelines and architectures, collaborating with various teams to ensure data accuracy and accessibility.

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Weekend Ai Data Engineer information

What is the difference between Weekend Ai Data Engineer vs Weekend Data Engineer?

AspectWeekend Ai Data EngineerWeekend Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; familiarity with AI/ML toolsBachelor's in CS, Data Science, or related field; basic data engineering skills
Work EnvironmentProjects involving AI/ML models, data pipelines for AI applicationsGeneral data processing, ETL tasks, data pipeline setup
Employer & Industry UsageTech companies, AI startups, research institutionsVarious industries including finance, healthcare, e-commerce
Common Search & ComparisonOften compared for specialization in AI data tasksBroader data engineering roles

The Weekend Ai Data Engineer focuses on building data pipelines and models specifically for AI and machine learning applications, requiring knowledge of AI tools. In contrast, the Weekend Data Engineer handles general data processing tasks across various industries. Both roles share similar educational backgrounds but differ in their focus and project types.

What are the most commonly searched types of Ai Data Engineer jobs in Ohio?

The most popular types of Ai Data Engineer jobs in Ohio are:

What job categories do people searching Weekend Ai Data Engineer jobs in Ohio look for?

The top searched job categories for Weekend Ai Data Engineer jobs in Ohio are:

What cities in Ohio are hiring for Weekend Ai Data Engineer jobs?

Cities in Ohio with the most Weekend Ai Data Engineer job openings:

Infographic showing various Weekend Ai Data Engineer job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

AI Data Engineer

Cleveland, OH • On-site


Flexjet
Aerospace Product and Parts Manufacturing • 501 - 1,000 employees

8.2

Company rating: 8.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

19th of 67 rated aviation services

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$111K - $133K/yr

Full-time

Posted 23 days ago


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
� 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


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