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Entry Level Ai Data Engineer Jobs in Ohio (NOW HIRING)

RELX

AI Data Analyst

Dayton, OH · On-site

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 ...

The Hartford

Data Engineer

Columbus, OH

$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 ...

Medpace, Inc.

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 ...

Medpace, Inc.

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 ...

Accenture

Data Engineer - Reinvention Centers

Columbus, OH · Hybrid

$110K - $132K/yr

Leveraging Azure Data Factory, Azure Databricks, and Azure AI Foundry, you partner with stakeholders to define data engineering use cases, prototype scalable architectures, and deliver production ...

Eliassen Group

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 ...

Eliassen Group

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 ...

Pwc

Data Engineer - Senior Associate

Cincinnati, OH

$77K - $202K/yr

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 ...

Pwc

Data Engineer - Senior Associate

Toledo, OH

$77K - $202K/yr

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 ...

Pwc

Data Engineer - Senior Associate

Cleveland, OH

$77K - $202K/yr

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 ...

Pwc

Data Engineer - Senior Associate

Columbus, OH

$77K - $202K/yr

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 ...

Pwc

Data Engineer - Senior Associate

Cleveland, OH

$77K - $202K/yr

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 ...

Pwc

Data Engineer - Senior Associate

Toledo, OH

$77K - $202K/yr

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 ...

Pwc

Data Engineer - Senior Associate

Cincinnati, OH

$77K - $202K/yr

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 ...

Pwc

Data Engineer - Senior Associate

Columbus, OH

$77K - $202K/yr

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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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 is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior data scientists or AI research directors, which can offer compensation in that range including salary, bonuses, and stock options. Entry-level AI data engineering positions usually have lower salaries, but compensation can increase significantly with experience, skills, and responsibilities in the field.

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.

What engineer makes 500,000 a year?

Highly experienced senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn salaries approaching or exceeding $500,000 annually, especially with bonuses and stock options. These roles typically require advanced skills, extensive experience, and often work in high-demand industries like technology or finance.

How can I become an AI engineer with no experience?

To become an entry-level AI data engineer with no experience, focus on building foundational skills in programming languages like Python, learn about data management and machine learning concepts, and complete online courses or certifications in AI and data engineering. Gaining hands-on experience through personal projects, internships, or contributing to open-source initiatives can also help demonstrate your abilities to employers.

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.

Which 3 jobs will survive AI?

Entry Level AI Data Engineers are likely to continue being in demand as they develop and maintain AI models, requiring skills in data management, programming, and machine learning tools. Jobs that involve complex problem-solving, creativity, and emotional intelligence, such as data scientists, AI specialists, and cybersecurity analysts, are also expected to persist despite AI automation. These roles often require specialized knowledge and adaptability that AI cannot fully replicate yet.
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 are popular job titles related to Entry Level Ai Data Engineer jobs in Ohio? For Entry Level Ai Data Engineer jobs in Ohio, the most frequently searched job titles 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:
Entry Level Ai Data Engineer jobs near you
Infographic showing various Entry Level Ai Data Engineer job openings in Ohio as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.
Staff AI Data Engineer

Staff AI Data Engineer

Park Place Technologies

Highland Heights, OH • On-site

$111K - $133K/yr

Full-time

Posted 3 days ago

Park Place Technologies rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

88th of 230 rated it services

Job description

Department: AI Data Engineering
Reports To: Data Engineering Team Lead / Engineering Manager
Position Overview:
Mid-level engineer who designs and maintains scalable data pipelines, ETL processes and data platforms to support AI/ML workloads, integrating vector stores and ensuring data quality and compliance.
Key Responsibilities:
  • Implement and maintain scalable batch and streaming data pipelines to ingest, transform and serve data for AI/ML workloads; work with senior engineers and architects on designing pipelines and processes.
  • Develop ETL/ELT processes using Python and SQL to prepare training, test, and production datasets and feature stores. Experience with big data technologies (Spark, Hadoop) and flow tools (Kafka, NiFi) is a plus but not required.
  • Build and maintain data warehouses and lakes; integrate with vector stores to support retrieval-augmented generation (RAG) systems. aPartner with more senior engineers to collaborate with AI Data Engineering, IT Data Engineering, Infrastructure, AI Engineering, Security and Business Leaders to deliver features for model training and inference
  • Implement data validation and quality checks with validation from more senior engineers; maintain documentation of data flows and schemas.
  • Work with more senior engineers to ensure pipelines meet data quality, observability, security and regulatory compliance standards.
  • Work with Model Context Protocol (MCP) to integrate into data pipelines and make modifications to existing MCP connections with guidance from more senior engineers.

Qualifications:
  • At least two (2) years' experience working in a Data Engineering, Data Science, Software Development or other relevant role.
  • Professional experience with programming in either Python or an object-oriented programming language.
  • Strong knowledge of relational and NoSQL-based databases, with significant proficiency in SQL.
  • Understanding of ETL processes and data modeling concepts.
  • Exposure to data processing frameworks and tools (examples are but not all required as Apache Spark, Kafka, dlt, dbt), and cloud data services (AWS Glue, Azure Data Factory, GCP Dataflow). Experience with one or more of these tools or services is a plus but not required.
  • Knowledge of data warehousing, lakehouse architectures, and data modeling concepts. Experience with ML tools such as pytorch is a plus.
  • Understanding of machine-learning workflows and ability to build feature stores for AI models.
  • Exposure to containerization (Docker), Kubernetes and continuous integration/continuous deployment (CI/CD). Experience is a plus but not required.
  • General understanding of AI/ML concepts with the ability and willingness to learn more.
  • Ability to collaborate with team leadership and Data Engineering, Infrastructure, AI Engineering, Security and Business peers.
  • Strong problem-solving, communication and teamwork skills.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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