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Data Engineer 1 Jobs in Ohio (NOW HIRING)

Mazzella Companies

Data Engineer

Cleveland, OH · On-site

$115K - $135K/yr

Hands-on experience with at least one BI/visualization platform (Power BI, Tableau, OAC, or ... align data engineering efforts with core business objectives and operational KPIs. What We're ...

Huntington

Data Engineer Lead-1

Columbus, OH · On-site +1

$110K - $132K/yr

The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally inclusive data necessary for the enterprise data and analytics initiatives following industry standard ...

New

System One

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 ...

System One

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 ...

System One

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 ...

System One

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 ...

System One

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 ...

System One

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 ...

CYNET SYSTEMS

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 ...

Medpace, Inc.

Data Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

... Data Engineer to join our Information Technology team. This position will work on a team to ... Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and ...

Cleveland Steel Container

Data Engineer

Hudson, OH · On-site

$104K - $125K/yr

We're looking for a Data Engineer to join our Data & Analytics team and take ownership of the data ... one, but you should be able to learn it quickly * Experience with WhereScape RED, Matillion ...

Bespoke Labs

Data Engineer

Bowling Green, OH · On-site

$107K - $129K/yr

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Cleveland, OH · On-site

$110K - $133K/yr

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Bespoke Labs

Data Engineer

Toledo, OH · On-site

$112K - $135K/yr

We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such ... Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ...

Medpace, Inc.

Data Engineer

Cincinnati, OH

$109K - $132K/yr

... in Data Engineering; * Knowledge of developing dimensional data models and awareness of the ... Recognized by Forbes as one of America's Most Successful Midsize Companies in 2021, 2022, 2023 and ...

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Showing results 1-20

All JobsData Engineer 1 JobsData Engineer 1 Jobs in Ohio

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 Jul 19, 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 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.

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 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 data engineer 1?

A Data Engineer 1 is an entry-level professional responsible for designing, building, and maintaining data pipelines and infrastructure. They typically work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and reporting. Strong programming skills and understanding of databases are essential for this role.

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.

Can I make 200K as a data engineer?

Data engineers can earn 200K or more annually, especially with several years of experience, advanced skills in tools like Spark or Hadoop, and in high-demand industries or regions. Salaries vary based on location, company size, and expertise, with senior roles and specialized skills commanding higher pay.

What engineers make $300,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn $300,000 or more annually, especially in high-cost-of-living areas or within top-tier companies. Achieving this level often requires expertise in cloud platforms, distributed systems, and leadership roles.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require several years of experience and expertise in cloud platforms, data architecture, and programming languages like Python or Scala.
What are popular job titles related to Data Engineer 1 jobs in Ohio? For Data Engineer 1 jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Engineer 1 jobs in Ohio look for? The top searched job categories for Data Engineer 1 jobs in Ohio are:
Data Engineer 1 jobs near you
Data Engineer

Data Engineer

Mazzella Companies

Cleveland, OH • On-site

$115K - $135K/yr

Full-time

Re-posted 9 days ago

Mazzella Companies rating

6.6

Company rating: 6.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Description
We are hiring a Data Engineer to support and extend a growing NetSuite Analytics Warehouse (NSAW) initiative built on the Oracle analytics stack. This is a hands-on, individual-contributor role that spans the full analytics lifecycle: data engineering, SQL development, ETL/ELT pipelines, data modeling, and the reporting layer that sits on top.
The role blends traditional data engineering with analytics engineering. You will build and maintain pipelines, but you will also shape the semantic models and reporting infrastructure that business users rely on.
Requirements
Job Duties:
  • Develop and optimize complex SQL queries, views, materialized views, and stored procedures
  • Design, build, and maintain ETL/ELT pipelines for data extraction, transformation, and loading
  • Contribute to data architecture and data modeling decisions for reporting and analytics use cases
  • Work across multiple database platforms to maintain data integrity, consistency, and performance
  • Build and maintain reporting infrastructure, dashboards, and semantic models on top of the warehouse
  • Lead technical work on data migration and system transition initiatives

Education:
A bachelor's degree in computer science, information technology from an accredited college or university in a related discipline. In the absence of a degree, directly related job experience serving in a Data Engineer role, where a number of years, proven knowledge, and certifications may offset the degree requirement.
Requirements:
  • 8+ years of hands-on SQL development experience, including writing, debugging, and tuning complex queries in enterprise environments
  • Strong experience with data architecture, data modeling, and ETL/ELT pipeline development
  • Working experience with at least two relational database platforms, such as Oracle, Microsoft SQL Server / Azure SQL, PostgreSQL, or comparable enterprise systems
  • Solid grounding in performance tuning, execution plan analysis, and data quality practices
  • Hands-on experience with at least one BI/visualization platform (Power BI, Tableau, OAC, or equivalent)
  • Experience supporting data migrations, ERP integrations, or enterprise system transitions

Preferred Qualifications:
  • Oracle SQL and PL/SQL experience
  • NetSuite Analytics Warehouse (NSAW) or Oracle Fusion Analytics Warehouse (FAW) experience
  • Familiarity with NetSuite as a source system, including its data structures and customization options
  • Experience with Oracle Analytics Cloud (OAC), OBIEE, or semantic modeling in similar tools
  • Python for automation, scripting, or pipeline work
  • Experience with cloud data platforms - particularly Oracle Cloud Infrastructure (OCI), Azure, or AWS
  • Deep business acumen within the manufacturing industry, with a proven ability to translate complex financial reporting, operations, and supply chain requirements into technical data solutions.
  • Experience working closely with cross-functional departments (Finance, Operations, and Supply Chain) to align data engineering efforts with core business objectives and operational KPIs.

What We're Looking For:
An engineer whose first strength is SQL, who is comfortable moving between database platforms, and who understands that good analytics depends on both solid pipelines and a clean semantic layer. We want someone who can take ambiguous business requirements and turn them into maintainable technical solutions - and who is comfortable being the technical owner of the analytics stack rather than waiting to be told what to build.

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