1

Data Warehouse Developer Jobs in Ohio (NOW HIRING)

Senior Data Architect

Marysville, OH · On-site

$61.75 - $82.75/hr

... engineering, or related field . * At least 10 years of relevant experience in design and implementation of data models (Erwin) for enterprise data warehouse initiatives * Experience leading projects ...

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

Responsibilities : • Utilize skills in development areas including data warehousing, business intelligence, and databases (Snowflake, ANSI SQL, SQL Server, T-SQL); • Support programming/software ...

Data Engineering Manager

Cleveland, OH · On-site +1

$111K - $133K/yr

The Data Engineering Manager's role is to provide technical leadership for data engineering ... Model data to suit business needs and efficient warehouse performance. * Oversee and implement ETL ...

Engineer

Cleveland, OH · On-site

$100K - $120K/yr

Qualifications & Skills: * 10+ years of experience in Data Engineering, Data Warehousing, Analytics ... or Data Management. * 3+ years of experience as a Data Architect designing enterprise-scale data ...

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

You can also build and enhance ETL/ELT pipelines, manage data warehouses and data lakes, and ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

ETL Developer

Bowling Green, OH · On-site +1

$47.75 - $62.50/hr

The ETL Developer will interpret and transform information based on business requirements and ... Knowledge of data warehouse ETL tools, preferably Talend * Knowledge of SQL coding for relational ...

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/yr

As a Data Engineer, you will help build, maintain, and improve the data infrastructure that powers ... Build new warehouse functionality, curated data models, marts, and tables that support reporting ...

Senior Data Engineer

Columbus, OH

$102K - $139K/yr

As a Data Engineer, you will help build,maintain, and improve the data infrastructure that powers ... Build new warehouse functionality, curated data models, marts, and tables that support reporting ...

Provide leadership for Data Warehouse, Middleware/Azure Enterprise Service Bus, Cognos, Limagito ... Experience with Azure data services, Azure DevOps, Azure Enterprise Service Bus, APIs, middleware ...

Provide leadership for Data Warehouse, Middleware/Azure Enterprise Service Bus, Cognos, Limagito ... Experience with Azure data services, Azure DevOps, Azure Enterprise Service Bus, APIs, middleware ...

Showing results 21-40

Data Warehouse Developer information

See Ohio salary details

$12

$51

$69

How much do data warehouse developer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for data warehouse developer in Ohio is $51.74, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $61.68 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data warehouse developer?

To thrive as a Data Warehouse Developer, you need expertise in data modeling, ETL processes, SQL, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with data warehousing tools (such as Informatica, Talend, or SSIS), OLAP systems, and cloud data platforms is highly valuable, along with relevant certifications. Strong analytical thinking, problem-solving abilities, and effective communication skills set standout professionals apart in this role. These skills are crucial for designing efficient data solutions, ensuring data integrity, and enabling business intelligence for informed decision-making.

What are some common challenges data warehouse developers face when integrating data from multiple sources?

Data Warehouse Developers often encounter challenges with data consistency, varying data formats, and incomplete or poor-quality data when integrating information from multiple sources. Resolving these issues typically involves designing robust ETL (Extract, Transform, Load) processes, implementing data cleansing routines, and collaborating closely with data owners and business analysts to understand data lineage and requirements. Adapting to frequent changes in source systems and ensuring the warehouse remains scalable and performant can also be demanding, but they provide valuable opportunities to develop problem-solving skills and deepen technical expertise.

What is a data warehouse developer?

A data warehouse developer designs and implements data warehouses, which are meant to store large amounts of data for easy retrieval by a business or organization. In this role, your duties are to develop storage architecture, design big data models, and create ways to input transactions, such as sales, receipts, customer data, and user downloads. Working with other developers, you ensure that the warehouse can both receive customer and client data and return it as output to analysts who can make recommendations based on their interpretation.

What is the difference between Data Warehouse Developer vs Data Analyst?

AspectData Warehouse DeveloperData Analyst
CredentialsBachelor's in Computer Science, Data Management, or related field; certifications like Microsoft Certified: Data Analyst AssociateBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Certified: Data Analyst Associate
Work EnvironmentDesigning, developing, and maintaining data warehouses; working with ETL tools and database systemsAnalyzing data sets, creating reports, and providing insights using BI tools
Industry UsageUsed across industries for data storage and managementUsed across industries for data analysis and reporting

The main difference is that Data Warehouse Developers focus on building and maintaining data storage systems, while Data Analysts interpret data to support business decisions. Both roles require strong technical skills and often overlap in data handling tasks, but their core responsibilities differ.

Is data warehouse a good career?

A career as a Data Warehouse Developer is in demand due to the increasing need for data management and analytics in organizations. It typically requires skills in SQL, ETL processes, and tools like Snowflake or Redshift, with opportunities for growth in data engineering and business intelligence roles.
What are popular job titles related to Data Warehouse Developer jobs in Ohio? For Data Warehouse Developer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Warehouse Developer jobs in Ohio look for? The top searched job categories for Data Warehouse Developer jobs in Ohio are:
Infographic showing various Data Warehouse Developer job openings in Ohio as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 72% In-person, and 28% Remote job distribution, with an average salary of $107,622 per year, or $51.7 per hour.

$80K - $125K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 9 hours ago


Job description

As a Data Engineer (Analytics Specialist), you will build robust data warehouse/marts/sets which will enable business users to make informed decisions. You will use advanced SQL tools to move large amounts of data and build complex algorithms.


  • Collaborates with stakeholders, data engineers, and data scientists to ensure analytics data needs align with organizational goals and priorities and elevate our business processes.
  • Develops ETL processes to extract data from various sources, transform it into a format suitable for analysis across AmTrust.
  • Create moderately complex data models that describe the relationship between different data entities. Develop database schemas that are optimized for querying and analysis.
  • Design advanced validation and cleansing processing to identify and fix data quality issues for quality and accuracy of the data throughout
  • Medium-to-Advanced level understanding of business processes of a variety of areas in the company including finance, operations, underwriting, sales, claims, and actuarial to develop a deep understanding of the workflow and the relevant data to produce insights for the larger organization.
  • Work with IT resources to integrate data warehouse data, test and validate report building, process automation, and dashboard development.

  • 5-10 years minimum experience writing SQL, DAX, SSAS, and creating SSIS Packages
  • Knowledge of Software Development Life Cycle, Git, Agile
  • Undergraduate degree in Computer Science, Information Systems, Engineering, or equivalent years of work experience.

The expected salary range for this role is $80.5K-$125K annually

Please note that the salary information shown above is a general guideline only. Salaries are based upon a wide range of factors considered in making the compensation decision, including, but not limited to, candidate skills, experience, education and training, the scope and responsibilities of the role, as well as market and business considerations

#LI-BL1

#LI-HYBRID

#AmTrust


AmTrust Financial Services offers a competitive compensation package and excellent career advancement opportunities. Our benefits include: Medical & Dental Plans, Life Insurance, including eligible spouses & children, Health Care Flexible Spending, Dependent Care, 401k Savings Plans, Paid Time Off.

AmTrust strives to create a diverse and inclusive culture where thoughts and ideas of all employees are appreciated and respected. This concept encompasses but is not limited to human differences with regard to race, ethnicity, gender, sexual orientation, culture, religion or disabilities.

AmTrust values excellence and recognizes that by embracing the diverse backgrounds, skills, and perspectives of its workforce, it will sustain a competitive advantage and remain an employer of choice. Diversity is a business imperative, enabling us to attract, retain and develop the best talent available. We see diversity as more than just policies and practices. It is an integral part of who we are as a company, how we operate and how we see our future.