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Data Developer Jobs in Ohio (NOW HIRING)

APCO Holdings

Senior Data Developer

Westerville, OH

We're looking for a Senior Data Developer to design and build scalable data integration solutions using SQL Server, SSIS, and Azure Data Factory. You'll develop reliable ETL pipelines, lead data ...

APCO Holdings

Senior Data Developer

Westerville, OH · On-site

We're looking for a Senior Data Developer to design and build scalable data integration solutions using SQL Server, SSIS, and Azure Data Factory. You'll develop reliable ETL pipelines, lead data ...

Miamioh

BI ETL Data Developer II or III

Oxford, OH · On-site

Job Title BI ETL Data Developer II or III Department Business Intelligence Team Worker Type Regular Pay Type Salary Position Salary Minimum 65,000 Position Salary Maximum 87,000 Salary will be ...

Prohires

SENIOR DATA BRICKS DEVELOPER (W2)

Columbus, OH · On-site

SENIOR DATA BRICKS DEVELOPER INTERIVEW: TELEPHONIC & WEBCAM ROLE: SENIOR DATA BRICKS DEVELOPER OVERALL EXPEREINCE We are seeking an experienced Databricks Developer to design, develop, and optimize ...

NiSource

Sr. Data Visualization Developer

Columbus, OH · On-site

$96K - $144K/yr

Sr. Data Visualization Developer Full Time Perm Salary: $96,600 - $144,900, plus 8% annual bonus Way of Work: Hybrid - 3 days on location Location: Columbus, OH or Merrillville, IN The IT Capacity ...

CYNET SYSTEMS

Data Engineer

Mason, OH · On-site

$52 - $57/hr

Experience with workflow orchestration tools (Airflow, ADF, etc.) Strong knowledge of CI/CD and DevOps for data pipelines. * Proven experience in leading and mentoring engineering teams. Preferred ...

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 ...

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 ...

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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 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 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
Senior Data Developer

Senior Data Developer

APCO Holdings

Westerville, OH

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

APCO Holdings rating

7.3

Company rating: 7.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

217th of 278 rated insurance

Job description

APCO Holdings partners with dealerships across North America to deliver innovative vehicle protection products and services that enhance the ownership experience for customers and drive growth for our partners. Through our family of brands, we bring together industry expertise, technology, and data-driven insights to help dealers strengthen their finance and insurance performance and build lasting relationships with their customers.

Our teams work collaboratively across operations, technology, risk, finance, marketing, and sales to deliver solutions that create measurable value and support the continued growth of APCO and the partners we serve.

We're looking for a Senior Data Developer to design and build scalable data integration solutions using SQL Server, SSIS, and Azure Data Factory. You'll develop reliable ETL pipelines, lead data modeling efforts, and create data stores and marts that power business intelligence. This role requires a strong understanding of organizational data to deliver effective, enterprise-wide data solutions.
What You'll Do
  • Design, develop, and maintain data integration solutions using SQL Server, SSIS, Azure Data Factory, and related tools
  • Build scalable, reliable ETL pipelines to support enterprise business intelligence and analytics
  • Lead the design of logical data models and implement optimized physical database structures
  • Develop and manage operational data stores, data marts, and enterprise data models
  • Collaborate with business stakeholders to gather data requirements and translate them into technical solutionsIntegrate data from multiple sources including databases, APIs, and flat files
  • Perform data transformation, cleansing, validation, and aggregation to ensure high data quality
  • Monitor, optimize, and troubleshoot ETL performance and data workflows
  • Deploy, schedule, and maintain production data processes with proper documentation and controls
  • Ensure data accuracy, security, and availability through governance, access controls, and backup strategies
What Makes You Successful
Success in this role requires a strong ability to understand and interpret organizational data. You will develop deep domain knowledge to effectively support integrated data design initiatives and deliver high-quality, data-driven solutions that enable informed business decisions
  • Strong expertise in SQL development, including complex queries, stored procedures, and performance tuning
  • Deep understanding of ETL design, data modeling, and data warehousing concepts
  • Ability to design scalable, efficient database architectures and data pipelines
  • Strong analytical and problem-solving skills with attention to detail
  • Experience translating business needs into technical data solutions
  • Effective communication skills to explain complex concepts to both technical and non-technical audiences
  • Commitment to data accuracy, quality, and continuous improvement
Basic Qualifications
  • 5+ years of experience as an ETL Developer, Data Engineer, Database Developer, or similar role
  • Strong experience with SQL Server, SSIS, and Azure Data Factory
  • Proficiency in SQL, including query writing, optimization, and data manipulation
  • Experience with data modeling, dimensional modeling, and data warehousing principles
  • Hands-on experience building and maintaining ETL pipelines
  • Familiarity with tools such as SSMS, SSRS, and Power BI
Preferred Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field
  • Experience with OLAP, MDX, and multidimensional data models
  • Familiarity with programming languages such as Python, Java, or .NET
  • Experience with cloud data platforms (e.g., Azure SQL, AWS RDS)
  • Knowledge of database security, backup, and recovery strategies
  • Experience creating semantic models or datasets for reporting tools like Power BI
This Role Might Be a Great Fit If You...
  • Enjoy building data solutions that drive business insights and decision-making
  • Thrive in solving complex data challenges and optimizing performance
  • Are detail-oriented and passionate about data accuracy and quality
  • Like collaborating with cross-functional teams to turn data into value
  • Are eager to deepen your understanding of enterprise data and systems
  • Take ownership of your work and enjoy designing scalable, long-term solutions
What We Offer
  • Competitive compensation
  • Comprehensive medical, dental, and vision benefits
  • 401(k) with company match
  • Paid time off and company holidays
  • Opportunities to shape compensation strategy in a growing organization
  • A collaborative, high-impact leadership environment
 
At APCO, the way we work matters just as much as the results we deliver. Our values guide how we work, how we partner, and how we deliver results.
 
We C.A.R.E.
Committed - We build strong, high-trust relationships with our partners and each other.
Accountable - We take ownership of outcomes and hold ourselves to the highest standards of performance and integrity.
Results-Driven - We focus on delivering measurable outcomes that create value for our partners and our business.
Excellent - We strive for excellence in everything we do while balancing short-term performance with long-term success.
 
If you're excited about joining a team that values collaboration, accountability, and continuous improvement, we'd love to hear from you.
 
 
By submitting your application, you acknowledge that you have read and understand our Privacy Policy and Terms & Conditions. APCO Holdings may collect personal information (such as name, contact details, and employment history) to evaluate your candidacy. We may share this data with our subsidiaries, affiliates, and service providers. We retain applicant data only as long as necessary for the hiring process or as required by law.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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