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

Flexjet

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 ... Azure, or Google Cloud) PREFERRED QUALIFICATIONS · Experience supporting machine learning or AI ...

Flexjet LLC

AI Data Engineer

Cleveland, OH · On-site

$90 - $130/hr

Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure ... Basic understanding of cloud platforms (AWS, Azure, or Google Cloud) PREFERRED QUALIFICATIONS

Kanak Elite Services Inc

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

SENIOR DATA ENGINEER Location: Cincinnati, OH - Onsite Contract Interview: onsite interview for the final round (12+ yrs exp) skilled in Azure, Databricks, Unity Catalog, Delta Tables, and Data Lake ...

Jack Entertainment

Data Platform Engineer

Cleveland, OH · On-site

$70K/yr

You will have the opportunity to work across several areas of data engineering rather than being ... Cloud platforms such as Azure, AWS, or Google Cloud. * Data platforms such as Snowflake, Databricks ...

Synergy

Palantir Data Engineer

Perrysburg, OH · On-site +1

$107K - $129K/yr

Apply best practices in cloud platforms (AWS/GCP/Azure), containerization (Kubernetes), and CI/CD ... Hands-on expertise in data engineering, pipeline development, and modeling. Familiarity with cloud ...

Jack Entertainment

Data Platform Engineer

Cleveland, OH · On-site

$23.61 - $70.82/hr

You will have the opportunity to work across several areas of data engineering rather than being ... Cloud platforms such as Azure, AWS, or Google Cloud. * Data platforms such as Snowflake, Databricks ...

Christoph Kroschke GmbH

$75 - $110/hr

Als Data Engineer entwickelst und betreibst Du gemeinsam mit unserem Team die technische Basis ... Du arbeitest mit Git und Azure DevOps an einer modernen Deployment- und CI/CD-Strategie * Du ...

Medpace, Inc.

Junior Data Engineer

Cincinnati, OH · On-site

Support programming/software development using Extract, Transform, and Load (ETL) and Extract, Load and Transform (ELT) tools, (dbt, Azure Data Factory, SSIS); * Design, develop, enhance and support ...

CONET Technologies AG

$69.66 - $92.88/hr

... conet als Data Engineering Expert auf Fachkonferenzen, in Bewerbungsgesprächen und in ... Azure * Erfahrung oder Interesse an der Entwicklung und dem Betrieb von skalierbaren ...

New

TQL

Data Engineer I - Finance

Cincinnati, OH · On-site

$109K - $131K/yr

As a Data Engineer you'll play a critical role within Financial Planning & Analysis (FP&A) ... Exposure to Microsoft Fabric, Lakehouse, Databricks, Azure, or similar cloud data platforms ...

adorsys GmbH & Co. KG

$82 - $105.42/hr

Als Senior Professional Fullstack-Data-Engineer wirst du in unserer Tribe-Organisation stetig ... AWS, AZURE, GCP, Docker, K8S, Gitlab, Github, Maven, Terraform, Helm. Was dich erwartet ...

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Entry Level Azure Data Engineer information

What is an entry level Azure Data Engineer?

An Entry Level Azure Data Engineer is a professional who helps design, build, and maintain data solutions on Microsoft Azure's cloud platform. They work with data storage, data pipelines, and data integration tools, often supporting more senior engineers in managing big data and analytics workloads. This role involves tasks like setting up Azure data services, transforming data, and ensuring secure and efficient data flows. Entry level engineers are typically early in their careers and may hold relevant certifications, such as Microsoft Certified: Azure Data Engineer Associate.

What are some common challenges faced by entry level Azure Data Engineers and how can they be addressed?

Entry level Azure Data Engineers often encounter challenges such as managing complex data integration tasks, understanding the nuances of Azure’s numerous data services, and ensuring data security and compliance. To address these, it's helpful to invest time in hands-on practice with Azure tools like Data Factory and Synapse Analytics, seek mentorship within your team, and regularly review Microsoft’s documentation and best practices. Collaborating closely with more experienced engineers and participating in code reviews can also accelerate learning and help you navigate real-world scenarios more effectively.

What are the key skills and qualifications needed to thrive as an entry level Azure Data Engineer, and why are they important?

To thrive as an Entry Level Azure Data Engineer, a solid understanding of data modeling, SQL, and basic programming (such as Python or Scala), along with a relevant degree in computer science or a related field, is important. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help newcomers excel in collaborative, data-driven environments. These competencies are critical for successfully designing, implementing, and maintaining scalable data solutions in modern cloud ecosystems.

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

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

What are popular job titles related to Entry Level Azure Data Engineer jobs in Ohio?

For Entry Level Azure Data Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Entry Level Azure Data Engineer jobs in Ohio look for?

The top searched job categories for Entry Level Azure Data Engineer jobs in Ohio are:

What cities in Ohio are hiring for Entry Level Azure Data Engineer jobs?

Cities in Ohio with the most Entry Level Azure Data Engineer job openings:

Entry Level Azure Data Engineer jobs near you
Infographic showing various Entry Level Azure Data Engineer job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.

AI Data Engineer

Flexjet

Cleveland, OH • On-site

$111K - $133K/yr

Full-time

Posted 29 days ago

Flexjet rating

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

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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