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Data Engineer 1 Jobs in Ohio (NOW HIRING)

Sr. Data Engineer

Cleveland, OH · On-site

$125 - $150/hr

As a Senior Data Engineer, one of your primary responsibilities is to guide and mentor junior Data Engineers to ensure they have the necessary skills and knowledge to perform their tasks effectively.

New

Data Engineer - Contractor

Miamisburg, OH · On-site

$102K - $123K/yr

Data Engineer Contractor 5 Days Onsite - Pittsburgh, PA / Farmers Branch, TX / Miamisburg, OH / Houston, TX Key Responsibilities * Gather business and technical requirements from multiple lines of ...

Data Engineer - Contractor

Miamisburg, OH · On-site

$102K - $123K/yr

Data Engineer Contractor 5 Days Onsite - Pittsburgh, PA / Farmers Branch, TX / Miamisburg, OH / Houston, TX Key Responsibilities * Gather business and technical requirements from multiple lines of ...

Data Engineer - Contractor

Miamisburg, OH · On-site

$102K - $123K/yr

Data Engineer Contractor 5 Days Onsite - Pittsburgh, PA / Farmers Branch, TX / Miamisburg, OH / Houston, TX Key Responsibilities * Gather business and technical requirements from multiple lines of ...

Data Engineer

Macedonia, OH · Hybrid

$103K - $124K/yr

... 1% of partners globally), we bring deep expertise in Dynamics 365, the Azure cloud platform, Data ... Strong programming skills in Python and PySpark . * Strong knowledge of SQL and data modelling ...

Data Engineer - Contractor

Miamisburg, OH · On-site

$102K - $123K/yr

Data Engineer Contractor 5 Days Onsite - Pittsburgh, PA / Farmers Branch, TX / Miamisburg, OH / Houston, TX Key Responsibilities * Gather business and technical requirements from multiple lines of ...

Data Engineer - Contractor

Miamisburg, OH · On-site

$102K - $123K/yr

Data Engineer Contractor 5 Days Onsite - Pittsburgh, PA / Farmers Branch, TX / Miamisburg, OH / Houston, TX Key Responsibilities * Gather business and technical requirements from multiple lines of ...

Data Engineer - Contractor

Miamisburg, OH · On-site

$102K - $123K/yr

Data Engineer Contractor 5 Days Onsite - Pittsburgh, PA / Farmers Branch, TX / Miamisburg, OH / Houston, TX Key Responsibilities * Gather business and technical requirements from multiple lines of ...

Data Engineer - Contractor

Miamisburg, OH · On-site

$102K - $123K/yr

Data Engineer Contractor 5 Days Onsite - Pittsburgh, PA / Farmers Branch, TX / Miamisburg, OH / Houston, TX Key Responsibilities * Gather business and technical requirements from multiple lines of ...

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

... one day remotely. Core in-office days are Tuesday-Thursday, with the fourth day determined by ... Support data engineering needs for predictive analytics and machine learning initiatives, including ...

Data Engineer

Cincinnati, OH · On-site +1

$109K - $131K/yr

... one day remotely. Core inoffice days are Tuesday-Thursday, with the fourth day determined by ... Support data engineering needs for predictive analytics and machine learning initiatives, including ...

Data Engineer

Cincinnati, OH · On-site

$125 - $150/hr

... one day remotely. Core in-office days are Tuesday-Thursday, with the fourth day determined by ... Support data engineering needs for predictive analytics and machine learning initiatives, including ...

Azure Data Engineer

Dublin, OH · On-site

$108K - $129K/yr

... 1 As an individual contributor and Data Engineering owner, you will play a key role in shaping a ... scalable and well-designed data environment, applying strong engineering judgment and pragmatic ...

$100 - $125/hr

Role Overview As a Data Engineer, you'll be a hands‑on contributor within our Data Platform team ... From day one, you have the chance to contribute your ideas and create a meaningful impact. Our flat ...

Data Engineer

Mason, OH · On-site

$55 - $60/hr

Proficiency in SQL and one programming language (Python / PySpark preferred). * Experience in ETL/ELT tools and data integration frameworks. * Strong knowledge of data warehousing concepts and ...

Data Engineer - Contractor

Strongsville, OH · On-site

$105K - $126K/yr

Title - Data Engineer - Microsoft 365 Location - PA - Pittsburgh, OH - Strongsville, TX - Dallas We are seeking a Junior AI Developer to support the design, development, testing, and deployment of ...

Data Engineer - Contractor

Strongsville, OH · On-site

$105K - $126K/yr

Title - Data Engineer - Microsoft 365 Location - PA - Pittsburgh, OH - Strongsville, TX - Dallas We are seeking a Junior AI Developer to support the design, development, testing, and deployment of ...

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Showing results 1-20

Data Engineer 1 information

See Ohio salary details

$42.3K

$123.3K

$168.7K

How much do data engineer 1 jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data engineer 1 in Ohio is $123,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,700.00 per year, depending on experience, location, and employer.

What is a data engineer?

A Data Engineer is a professional responsible for designing, building, and maintaining systems and infrastructure that collect, store, and process large volumes of data. They develop data pipelines, ensure data quality and integrity, and optimize data workflows for analytics and business intelligence. Data Engineers work closely with data scientists, analysts, and other stakeholders to make data accessible, reliable, and usable for various organizational needs.

What are the key skills and qualifications needed to thrive as a data engineer 1, and why are they important?

To thrive as a Data Engineer 1, you need a solid understanding of database management, SQL, data modeling, and a bachelor's degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, and big data frameworks such as Hadoop or Spark is typically required. Strong problem-solving skills, attention to detail, and effective communication help you work efficiently with teams and handle complex data challenges. These skills and qualities are crucial for building reliable data pipelines and supporting data-driven decision making within organizations.

What are some common challenges faced by entry-level data engineers, and how can they be addressed?

Entry-level Data Engineers often encounter challenges such as managing large volumes of data, learning new data pipeline tools, and adapting to evolving data architectures. Collaborating effectively with data scientists and analysts can also be challenging due to differing technical backgrounds and priorities. To overcome these, it's helpful to seek mentorship from experienced team members, proactively ask questions, and regularly participate in code reviews. Familiarizing yourself with the company's data infrastructure and staying updated on best practices can also ease the transition into the role.

What is the difference between Data Engineer 1 vs Data Engineer 2?

AspectData Engineer 1Data Engineer 2
Required CredentialsBachelor's degree in CS, IT, or related field; some experience with SQL, Python, and cloud platformsSimilar credentials, often with 1-3 years of experience and additional certifications
Work EnvironmentEntry-level role, often in team-based projects, supporting data pipelines and infrastructureMid-level role with increased responsibilities, handling complex data systems and optimization
Employer & Industry UsageCommon in tech, finance, healthcare, and retail industriesSimilar industries, with a focus on scaling data solutions and performance

Data Engineer 1 typically represents an entry-level position focused on supporting data infrastructure, while Data Engineer 2 involves more responsibility and experience. Both roles share similar credentials and industry usage, but Data Engineer 2 handles more complex tasks and system optimization.

Infographic showing various Data Engineer 1 job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $123,321 per year, or $59.3 per hour.

Sr. Data Engineer

Park Place Technologies

Highland Heights, OH • On-site

$111K - $133K/yr

Full-time

Posted 4 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

89th of 226 rated it services


Job description

Senior Data Engineer

The Senior Data Engineer is responsible for collecting, designing, and converting complex data into information that can be interpreted by Data Scientists and Business Analysts. Data accessibility is the ultimate goal, which enables our organization to utilize data for performance evaluation and optimization. As a Senior Data Engineer, one of your primary responsibilities is to guide and mentor junior Data Engineers to ensure they have the necessary skills and knowledge to perform their tasks effectively. This includes setting up guardrails and protocols that help the team achieve their goals efficiently while maintaining the quality of their work. Your role is crucial in ensuring the team's success, as you play a significant part in streamlining their workflow and maximizing their productivity.

What you’ll be doing:

  • Implementing pipelines to move raw data in Azure Synapse using spark, python, SQL and C# in line with established architectural standards related to Data Warehouse and Data Lakehouse modeling standards.
  • Developing machine learning and regression analysis skills in spark-python-pandas, openai and Azure ML.
  • Mentoring other members of the Data Engineering team, specifically those in a junior role
  • Work closely with Data Analysts and Business Analysts to clarify their requirements and provide clear guidance on the execution process. 
  • Providing peer review support to work produced by others, confirming use of relevant coding standards.
  • Demonstrate mastery of the Software Development Life Cycle.

What we’re looking for:

  • 4+ years of experience in Python development related to data engineering (spark, pandas, etc.).
  • 4+ years of experience in SQL related to data engineering.
  • Experience in designing and implementing complex data pipelines ensuring data quality & consistency.
  • Solid understanding of data warehouse and delta lake design concepts
  • Solid data analytics background 
  • Solid understanding of the Software Development Life Cycle 

Bonus Points: 

  • Microsoft Cloud Certification
  • Familiarity with Machine Learning and AI
  • Web Development is a plus.

Education: 

  • Bachelor’s Degree or Relevant Certifications & equivalent years of experience

Travel: 

  • <10%

What Park Place Technologies employees say

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