ZipRecruiter

Log In

1

Data Developer Jobs in Ohio (NOW HIRING)

Mazzella Companies

Data Engineer

Cleveland, OH · On-site

$115K - $135K/yr

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 ...

Purple Drive Technologies

Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

Data Engineer Location: ONSITE- Columbus Total Exp: 6-8 Years Skills: Python, Py Spark, Snowflake We are seeking a highly skilled and motivated Data Engineer to join our innovative team. As a Data ...

United IT

Data Engineer

Cincinnati, OH

$109K - $132K/yr

Data Engineer We are seeking a skilled Data Engineer with a strong background in mortgage banking to join our IT team. The candidate will be instrumental in constructing, testing, and maintaining our ...

SierTeK Ltd.

Data Engineer/Python SQL Developer

Dayton, OH · On-site

$46.75 - $64.50/hr

Proven experience as an advanced or expert-level Python and SQL developer * Hands-on experience with AWS Lambda, AWS Glue, Amazon S3, and related ETL or cloud data integration tools * Strong ...

SierTeK Ltd.

Data Engineer/Python SQL Developer

Dayton, OH · On-site

$46.75 - $64.50/hr

Proven experience as an advanced or expert-level Python and SQL developer * Hands-on experience with AWS Lambda, AWS Glue, Amazon S3, and related ETL or cloud data integration tools * Strong ...

SIERTEK

Data Engineer/Python SQL Developer

Dayton, OH · Remote

$46.75 - $64.50/hr

Proven experience as an advanced or expert-level Python and SQL developer * Hands-on experience with AWS Lambda, AWS Glue, Amazon S3, and related ETL or cloud data integration tools * Strong ...

FlightSafety International

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting assets * Troubleshoot and resolve complex data issues in production and development environments

R3 Tek

Data Engineer

Columbus, OH

$110K - $132K/yr

Greetings, Job Title- Data Engineer ( Netezza & OBIEE ) Location- Columbus OH Duration -6 months with visibility for extension Need a Sr.Data Engineer of whom has strong experience in OBIEE/ Netezza ...

FlightSafety International

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

Support CI/CD automation, DevOps practices, and version control for data pipelines and reporting assets * Troubleshoot and resolve complex data issues in production and development environments

FlightSafety International

Lead Data Engineer

Columbus, OH

$107K - $129K/yr

... DevOps practices, and version control for data pipelines and reporting assets Troubleshoot and resolve complex data issues in production and development environments Contribute to enterprise data ...

United IT

Data Engineer IV

Cincinnati, OH

$109K - $132K/yr

Data Engineer IV Seeking a Data Engineer IV to join its newly formed Machine Learning Data Enablement Team, part of the Customer Recommendation and Insights Squad within the Data Insights Tribe. This ...

Zer04 Consulting LLC

Lead Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

Familiarity with Azure Synapse, Data Lake, Purview, and/or DevOps is a plus * A bachelor's degree in a technical field, or equivalent experience * Strong communication skills across technical and non ...

Zortech Solutions

Data Engineer USA

Kings Mills, OH · Hybrid

$107K - $129K/yr

Data Engineer Role: Data Engineer Required legal status: Green Card, Green Card-EAD, US Citizen Location: Charlotte, NC (Hybrid work model) Job involves: * Extract, Transform, Load (ETL) operations

next page

Showing results 1-20

All JobsData Developer JobsData Developer Jobs in Ohio

Data Developer information

See Ohio salary details

$25

$50

$76

How much do data developer jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for data developer in Ohio is $50.50, according to ZipRecruiter salary data. Most workers in this role earn between $41.35 and $57.12 per hour, depending on experience, location, and employer.

How does a Data Developer typically collaborate with data analysts and data engineers within a project team?

Data Developers frequently work alongside data analysts and data engineers to design, build, and maintain robust data pipelines and databases. While data engineers often focus on the infrastructure and large-scale data architecture, Data Developers bridge the gap by implementing data models, optimizing queries, and ensuring data is accessible and reliable for analysis. Regular collaboration includes aligning on data requirements, troubleshooting data flow issues, and refining processes to support business intelligence and reporting needs. This teamwork ensures that data assets are accurate, up-to-date, and tailored for various stakeholder needs.

What are Data Developers?

Data Developers are professionals who design, build, and maintain systems that collect, store, process, and analyze large volumes of data. They work with databases, data pipelines, and various programming languages to ensure that an organization’s data is accessible, reliable, and efficiently managed. Data Developers often collaborate with data analysts, data scientists, and other IT staff to support business intelligence and data-driven decision-making. Their responsibilities may include writing complex SQL queries, developing ETL (extract, transform, load) processes, and optimizing database performance.

What are the key skills and qualifications needed to thrive as a Data Developer, and why are they important?

To thrive as a Data Developer, you need strong programming skills (such as SQL, Python, or Java), a deep understanding of database design, and experience with data modeling, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL Server, Oracle, ETL platforms, and cloud data services, as well as certifications in database technologies, are commonly required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with stakeholders and translating data needs into solutions. These competencies ensure efficient data management, support business intelligence efforts, and enable the delivery of reliable, scalable data systems.

What jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior data developers, data architects, and chief data officers can earn around or above $500,000 annually, especially with extensive experience, advanced skills in data management and analytics, and leadership responsibilities. These positions often require advanced degrees, certifications, and a strong track record in managing large data projects or teams.

What is the difference between Data Developer vs Data Analyst?

AspectData DeveloperData Analyst
Primary RoleBuilds and maintains data pipelines, databases, and data infrastructureAnalyzes data to generate reports, insights, and support decision-making
Skills & CertificationsSQL, ETL tools, programming (Python, Java), database managementSQL, Excel, data visualization tools, statistical analysis
Work EnvironmentData engineering teams, IT departments, software development environmentsBusiness units, analytics teams, management
Industry UsageTechnology, finance, healthcare, any data-driven industryMarketing, finance, retail, business intelligence

While Data Developers focus on creating and maintaining the data infrastructure, Data Analysts interpret data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What does a data developer do?

A data developer designs, builds, and maintains data systems and pipelines to collect, store, and process large amounts of data. They often work with programming languages like SQL and Python, and use tools such as data warehouses and ETL processes to ensure data is accessible and reliable for analysis and decision-making.

What jobs in the US pay 300,000 a year?

For a Data Developer, earning $300,000 annually typically requires extensive experience, advanced skills in programming, data architecture, and often leadership responsibilities. Such compensation is more common in senior roles within large organizations, financial firms, or tech companies, especially for those with specialized expertise or managerial duties.

What jobs pay 200,000 a year in the USA?

Data Developers with advanced skills in programming, data management, and analytics can earn around $200,000 annually, especially with experience, certifications, and working in high-demand industries. Senior roles often require expertise in tools like SQL, Python, or cloud platforms and may involve leadership or specialized project responsibilities.
What are popular job titles related to Data Developer jobs in Ohio? For Data Developer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Developer jobs in Ohio look for? The top searched job categories for Data Developer jobs in Ohio are:
What are popular job titles related to Data Developer jobs in OH? For Data Developer jobs in OH, the most frequently searched job titles are:
Data Developer jobs near you
Data Engineer

Data Engineer

Mazzella Companies

Cleveland, OH • On-site

$115K - $135K/yr

Full-time

Posted 8 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.

Apply