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Entry Level 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 ...

New

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 ...

New

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 ...

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 ...

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Data Engineer (AI & Data Platforms) The Hartford seeks a driven, team-focused Data Engineer to build and support data pipelines, cloud-based data platforms, and Machine Learning Operations (MLOps ...

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 ...

AI & Data Careers Event

Cincinnati, OH

$109K - $132K/yr

Data Engineer - IT * Utilize skills in development areas including data warehousing, business ... Collect, analyze and document user requirements working with AI engineers to align data sources to ...

AI & Data Careers Event

Cincinnati, OH · On-site

$109K - $132K/yr

Data Engineer - IT * Utilize skills in development areas including data warehousing, business ... Collect, analyze and document user requirements working with AI engineers to align data sources to ...

Data Engineer

Cincinnati, OH · On-site

$32 - $38/hr

Integrate new data management and software engineering technologies into existing data structures ... All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring ...

$102.41 - $147.93/hr

Senior Data Engineer (m/w/d) Azure & Databricks Vollzeit Die BRIGHT Group ist ein Zusammenschluss ... Einsatz von Azure AI Services, Azure Machine Learning und Databricks zur Entwicklung produktiver AI ...

New

AI Engineer

Cincinnati, OH · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

AI Engineer

Columbus, OH · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

AI Engineer

Cleveland, OH · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

AI Engineer

Toledo, OH · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Showing results 1-20

Entry Level Ai Data Engineer information

What are some common challenges faced by entry level AI data engineers in their first year on the job?

Entry level AI data engineers often encounter challenges such as learning to manage large datasets efficiently, understanding complex data pipelines, and adapting to rapidly evolving AI tools and frameworks. Collaborating with data scientists and senior engineers can be initially overwhelming, but it's a great opportunity to learn industry best practices. Balancing multiple tasks like data cleaning, preprocessing, and supporting model deployment while honing programming skills is typical. Proactively seeking feedback and asking questions is key to overcoming these hurdles and growing in the role.

What are the key skills and qualifications needed to thrive as an entry level AI data engineer, and why are they important?

To thrive as an Entry Level AI Data Engineer, you need proficiency in programming languages like Python or Java, a foundational understanding of data structures and algorithms, and a relevant degree in computer science or a related field. Familiarity with data processing frameworks (e.g., Hadoop, Spark), cloud platforms (e.g., AWS, Azure), and basic knowledge of machine learning libraries are typically expected. Strong analytical thinking, attention to detail, and effective teamwork set outstanding candidates apart. These skills and qualities are crucial for building reliable data pipelines, supporting AI models, and ensuring efficient collaboration within technical teams.

What is the difference between Entry Level Ai Data Engineer vs Data Analyst?

AspectEntry Level Ai Data EngineerData Analyst
Required SkillsBasic programming, data modeling, understanding of AI/ML conceptsData visualization, statistical analysis, SQL proficiency
CertificationsPython, SQL, entry-level AI/ML coursesExcel, Tableau, SQL certifications
Work EnvironmentTech companies, AI startups, data-driven teamsBusiness, marketing, finance sectors
Job FocusBuilding AI models, data pipelines, integrating AI solutionsInterpreting data, creating reports, supporting decision-making

While both roles involve working with data, Entry Level Ai Data Engineers focus on developing AI models and data infrastructure, whereas Data Analysts primarily analyze data to generate insights. The former requires some knowledge of AI/ML, while the latter emphasizes statistical and visualization skills.

Can you be an entry level AI data engineer with no experience?

Entry level AI data engineer roles typically require some foundational knowledge of programming, data management, and machine learning concepts, but many employers are open to candidates with limited experience if they demonstrate strong analytical skills and a willingness to learn. Gaining relevant skills through online courses, certifications, or internships can improve your chances of qualifying for such positions. Practical experience with tools like Python, SQL, and cloud platforms is often beneficial even at the entry level.

How to get into entry level AI data engineering?

To enter an entry-level AI data engineering role, develop skills in programming languages like Python and SQL, and gain experience with data processing tools such as Apache Spark or Hadoop. Building a strong foundation in databases, data modeling, and machine learning concepts, along with relevant certifications or coursework, can improve your chances of securing an entry-level position.

What is an entry level AI data engineer?

An Entry Level AI Data Engineer is a professional who helps build and maintain data pipelines and infrastructure to support artificial intelligence and machine learning applications. They typically work with large volumes of data, ensuring it is properly collected, cleaned, and organized for analysis. Their responsibilities may include working with databases, data processing tools, and cloud platforms, as well as collaborating with data scientists and software engineers to enable AI-driven solutions. This role is ideal for recent graduates or those new to the field, providing foundational experience in data engineering within the context of AI.
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 Entry Level Ai Data Engineer jobs in Ohio look for? The top searched job categories for Entry Level Ai Data Engineer jobs in Ohio are:
What cities in Ohio are hiring for Entry Level Ai Data Engineer jobs? Cities in Ohio with the most Entry Level Ai Data Engineer job openings:
Infographic showing various Entry Level Ai Data Engineer job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI Data Engineer

Flexjet

Cleveland, OH • On-site

$111K - $133K/yr

Full-time

Posted 2 days ago

New


Flexjet rating

8.2

Company rating: 8.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

18th of 65 rated aviation services


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 (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


What Flexjet employees say

Pay

Benefits

Hours and flexibility

Workplace

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