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Data Warehouse Developer Jobs in Ohio (NOW HIRING)

Bachelor's Degree* 10+ years of hands-on experience in multi-terabyte data warehousing engineering projects.* 7+ years of experience as a technology manager for data warehouse teams.**Preferred ...

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Bachelor's Degree * 10+ years of hands-on experience in multi-terabyte data warehousing engineering projects. * 7+ years of experience as a technology manager for data warehouse teams. Preferred ...

Bachelor's Degree * 10+ years of hands-on experience in multi-terabyte data warehousing engineering projects. * 7+ years of experience as a technology manager for data warehouse teams. Preferred ...

Bachelor's Degree 10+ years of hands-on experience in multi-terabyte data warehousing engineering projects. 7+ years of experience as a technology manager for data warehouse teams. Preferred ...

Data Warehouse Developer (XIN001_JVYC)

Columbus, OH · On-site

$47.50 - $65.25/hr

Company Description Xinnovit is a global leader in technology consulting, outsourcing, and workforce management solutions. Our mission is to enable our clients to become more agile and competitive ...

Senior Data Engineer

Cincinnati, OH · On-site

$101K - $138K/yr

Sr. Data Engineer for Cincinnati OH Will work on the projects from inception to end using Azure ... Data Warehouse, Azure Synapse Analytics, Azure Analytical Services, Databricks and Azure Data ...

Data Engineer

Columbus, OH

$110K - $132K/yr

Data Engineer of whom has strong experience in OBIEE/ Netezza/PDA and of whom has been a Tech Lead for driving requirements through to development for a data warehouse solution Must have Skills ...

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

... warehouse * Troubleshoot and resolve pipeline failures, data quality issues, and performance ... a data engineering role * Strong SQL skills and a solid understanding of data modeling for ...

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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.

Data Warehouse Sr. Manager

Huntington Bank

Columbus, OH • On-site

$120 - $150/hr

Other

Posted 2 days ago

New


Huntington National Bank rating

8.1

Company rating: 8.1 out of 10

Based on 170 frontline employees who took The Breakroom Quiz

65th of 170 rated banks


Job description

## Data Warehouse Sr. ManagerApplyremote type: Officelocations: Columbus, OHtime type: Full timeposted on: Posted Todayjob requisition id: R0073456# **Description****Summary:**Huntington Bank is looking for a data warehouse leader in our Data Technology organization. In this role you will lead a team of 12-15 dedicated to pushing the limits of continuous improvement and innovation using data warehousing as a lever. As a Sr. Manager of the Data Warehouse, you will report to the Data Warehouse Director and work closely with the Chief Data & Analytics Office to influence the business and technology strategies for the company.If you consider data as a strategic asset, evangelize the value of good data and insights, have deep understanding of data governance, are an experienced thought leader in data warehousing and love building teams and mentoring talent, this role is for you.You will be responsible for leading within the Enterprise Data Warehouse for the bank, including innovating on the platform to enable next-generation capabilities. You will participate in the definition of the strategic roadmap for data technology and be responsible for executing data warehousing initiatives. You will partner with other Data Technology organizations and CDAO leads to architect and enable an effective data ecosystem, as well as key leaders in business and technology to understand and support their needs.**Duties and Responsibilities:*** Manage a team of colleagues and contractors, providing resource allocation, coaching and development.* Lead a cross functional agile team to deliver on projects, providing thought leadership and technology oversight.* ·Participate in demand management and planning, assessing impact, feasibility and estimating work effort.* Understand and translate the technical design from the Data Architect team into implemented physical data models that meet data governance, enterprise architecture and business requirements for data warehousing. Manage data within the data warehouse to ensure efficiency of platform.* · Work with operational data and data acquisition teams to manage incoming sources and the down-stream systems to understand and support their needs for reporting and analytics.* · Support incident resolution and continuous improvement to drive efficiency across multiple operational run metrics.**Basic Qualifications:*** Bachelor's Degree* 10+ years of hands-on experience in multi-terabyte data warehousing engineering projects.* 7+ years of experience as a technology manager for data warehouse teams.**Preferred Qualifications:*** Deep understanding of enterprise data warehousing best practices for technical implementation and providing business value. Thought leadership in next-evolution modern data architectures. Best practice EDW testing and validation approaches and implementation.* Strong organizational skills with demonstrated ability to build and manage a high-performing team, work with partners to set and meet business service level agreement levels, plan and deliver work to expectations.* Strong communication and interpersonal skills for interacting and collaborating with developers, analysts and business colleagues throughout the organization.* Proven ability to take requirements and logical designs and translate them into physical implementation, informed by business and enterprise requirements.* Experience with traditional data architecture: operational data stores, sourcing and staging data, data integration, master data management, dimensional/snowflake and de-normalized design, managed views, datamarts and analytical sandboxes.* Experience with cloud technologies including AWS and Snowflake.* Experience with DataLake, Python/PySpark, Erwin Enterprise Data Modeler.* Experience with data governance and data management approaches, including data quality.* Experience with business intelligence and advanced analytics.**Exempt Status: (Yes** = not eligible for overtime pay) (**No** = eligible for overtime pay)Yes**Workplace Type:**OfficeOur Approach to **Office** Workplace TypeCertain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. #J-18808-Ljbffr

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