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Data Developer Jobs in Ohio (NOW HIRING)

Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or equivalent experience. * Strong proficiency in Python (PEP8, Google Style Guide, type hints, docstring ...

Databricks Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Databricks Data Engineer

Columbus, OH · On-site

$110K - $132K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Databricks Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Data Engineer

Cincinnati, OH · On-site

$109K - $131K/yr

ComResource is looking for a Data Engineer. We need someone to assist in calculating FDIC insurance at the customer and bank levels using traditional and modern data engineering tools. This role ...

Data Engineer III

Cincinnati, OH

$109K - $131K/yr

USC/GC We are seeking an experienced Data Engineer III. The ideal candidate will be responsible for ... Developer * SQL * Strong communication skills, ability to collaborate with members of your team

Data Engineer

Cleveland, OH · On-site

$110K - $133K/yr

Job Title: Data Engineer Location: Pittsburgh, PA, Cleveland, OH, or Dallas, TX - (5 days Onsite) - Local to any of these locations Job Type: Permanent Full Time Required qualifications to be ...

Azure Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

Data Engineer Contract: 12 Months (potential for conversion/extension) Job Location: Cincinnati, OH (3 days' on-site required) Note: Relocation will work for this role. Candidate have to relocate at ...

Data Engineer

Bethesda, OH · On-site

$96K - $116K/yr

Loader, Data Pump, Oracle SQL Developer, or APEX * Experience with Oracle 12c/19c and advanced features * Exposure to SSIS or other legacy ETL tooling * Experience with BI tools (Tableau, Power BI ...

Senior Data Engineer (P1692)

Cincinnati, OH · On-site

$117K - $155K/yr

As a data developer, you will cultivate strategies and solutions to ingest, store and distribute our big data. Our developers use Python, Databricks, Spark, JSON, and SQL in scrum teams to developer ...

New

... DevOps services to build and deploy DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks - Improving Cloud resources for cost, performance, and ...

... DevOps services to build and deploy DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks - Improving Cloud resources for cost, performance, and ...

... DevOps services to build and deploy DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks - Improving Cloud resources for cost, performance, and ...

Data Engineering Manager

Cleveland, OH · On-site

$111K - $133K/yr

The Data Engineering Manager's role is to provide technical leadership for data engineering services including data modeling, data warehouse/lake architecture and administration, ETL pipelines. This ...

Experience with Azure data services, Azure DevOps, Azure Enterprise Service Bus, APIs, middleware, and enterprise integration patterns. * Experience with Lean/Six Sigma, process analysis and design ...

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Data Developer information

See Ohio salary details

$25

$50

$76

How much do data developer jobs pay per hour?

As of Jul 8, 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.

How much does a data developer make?

The average salary for a data developer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled data developers proficient in programming languages like Python or SQL and familiar with data management tools tend to earn higher salaries.

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 executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. Certain roles in finance, technology, and law, especially with bonuses, stock options, or profit sharing, also reach this level. These positions typically require advanced skills, extensive experience, and often involve leadership or highly specialized expertise.

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 volumes of data. They often work with programming languages like SQL and Python, and use tools such as data warehouses and ETL (Extract, Transform, Load) processes to ensure data is accessible and reliable for analysis and decision-making.

Is 40 too late for data science?

A data developer or data scientist can start a career at age 40, as skills in programming, statistics, and data analysis are learnable at any age. Many professionals successfully transition into data roles later in life by gaining relevant certifications and experience. Age is less important than skills, continuous learning, and practical experience in the field.
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 Science - Senior

GRVTY

Dayton, OH • On-site

Other

Posted 23 days ago


Job description

***Requires an active TS/SCI Security Clearance with the ability to obtain a CI Poly****

What You'll Be Owning: 

  • Develop computer vision prototypes to detect and predict interactions between objects in multi-modal imagery.
  • Implement unsupervised and supervised learning methods to support mission-specific analytic workflows.
  • Build and manage datasets for training and evaluation in collaboration with subject matter experts (SMEs).
  • Integrate prototypes into NASIC and broader DoD/IC IT architectures. Design and maintain data structures ("memory systems") that store learned patterns, support dynamic updates, and provide auditability.
  • Follow secure software development practices, leveraging Python (preferred, v3.11+) and/or C++ in government repositories.
  • Conduct prototype reviews, code walkthroughs, and demonstrations with NASIC stakeholders.
  • Participate in bi-weekly technical interchange meetings and status updates.

What You Must Have: 

  • At least 10 years of software development experience
  • Active TS/SCI security clearance
  • Advanced degree in Computer Science, Data Science, Electrical Engineering, or related field, or equivalent experience.
  • Strong proficiency in Python (PEP8, Google Style Guide, type hints, docstring conventions) and familiarity with C++.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) for computer vision applications.
  • Background in object detection, scene understanding, and spatial reasoning.
  • Hands-on experience with unsupervised learning methods and dataset development.
  • Ability to work in secure environments and follow strict code review and documentation standards.

What Would Be Nice to Have

  • Knowledge of geospatial intelligence (GEOINT) workflows and imagery modalities.
  • Familiarity with Air Force / DoD software security constraints and classified development practices. 
  • Experience designing dynamic and auditable data structures for knowledge persistence.
  • Ability to collaborate closely with government technical managers (GTMs) and SMEs in a fast-paced prototyping environment.

This posting is for a position that is part of a proposal or future opportunity. While this role is not currently funded, we anticipate openings in the near future. Our recruiting team will contact qualified candidates as positions become available.