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Data Warehousing Jobs in Ohio (NOW HIRING)

Huntington Bank

Data Warehouse Sr. Manager

Columbus, OH · On-site

$120 - $150/hr

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 ...

Huntington Bank

Data Warehouse Sr. Manager

Columbus, OH · On-site

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 ...

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

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 ...

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

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 ...

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

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 ...

Pharmacy Data Management

Senior Data Engineer

Poland, OH · On-site +1

$91K - $124K/yr

This position develops scalable ETL pipelines, data warehouse solutions, governed data products, and secure data delivery capabilities that enable reliable enterprise reporting, analytics, and self ...

Pharmacy Data Management, Inc.

Senior Data Engineer

Poland, OH · On-site +1

$91K - $124K/yr

This position develops scalable ETL pipelines, data warehouse solutions, governed data products, and secure data delivery capabilities that enable reliable enterprise reporting, analytics, and self ...

AmTrust North America

Data Engineer III

Dallas, TX · On-site

$113K - $136K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

The ideal candidate will have experience designing, developing, and optimizing scalable data lakehouse and data warehousing solutions that support enterprise reporting, analytics, and business ...

New

American Business Solutions Inc.

Data Architect

Columbus, OH · On-site

$59.50 - $76.50/hr

Integration & ETL Design and optimize ETL/ELT processes for data warehousing and analytics, with hands-on experience using Snowflake's ingestion and transformation capabilities. o Ensure ...

Vertiv

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

Multimodal Data Management & Model Design, Data Mesh, Data Fabric, Data Products, etc.). • Understanding of the benefits of data warehousing, data architecture, data quality processes, data ...

Compunnel

Data & BI Professional

Mason, OH · On-site

Technical Skills • Advanced SQL • Query Optimization & Performance Tuning • Data Modeling • Data Warehousing • Data Analysis & Data Visualization • Data Governance • Statistical ...

VIVA USA INC

Data Architect

Columbus, OH · On-site +1

$61.50 - $79.25/hr

Integration & ETL Design and optimize ETL/ELT processes for data warehousing and analytics, with hands-on experience using Snowflake's ingestion and transformation capabilities. o Ensure ...

Medpace

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 ...

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All JobsData Warehousing JobsData Warehousing Jobs in Ohio

Data Warehousing information

See Ohio salary details

$9

$44

$77

How much do data warehousing jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data warehousing in Ohio is $44.98, according to ZipRecruiter salary data. Most workers in this role earn between $29.88 and $59.11 per hour, depending on experience, location, and employer.

What is data warehousing?

Data warehousing is the process of collecting, storing, and managing large volumes of data from different sources in a central repository, called a data warehouse. This centralized storage allows organizations to analyze historical data, generate reports, and make informed business decisions. Data warehouses are optimized for query and analysis rather than transaction processing, and they often use specialized tools and technologies to ensure data is consistent, reliable, and easily accessible for business intelligence purposes.

What are the key skills and qualifications needed to thrive as a data warehousing professional?

To thrive in Data Warehousing, you need expertise in data modeling, SQL, ETL processes, and a solid background in computer science or information systems. Familiarity with data warehouse platforms like Amazon Redshift, Snowflake, or Microsoft SQL Server, as well as ETL tools such as Informatica or Talend, and relevant certifications are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills help professionals collaborate and deliver actionable insights. These competencies are crucial for ensuring data integrity, optimizing storage solutions, and supporting informed business decisions.

What are the typical challenges faced by professionals in data warehousing roles when integrating data from multiple sources?

Professionals in data warehousing often face challenges such as ensuring data consistency and quality when integrating data from various sources, which may use different formats and standards. Other common hurdles include handling large volumes of data efficiently, maintaining data security and compliance, and managing the complexity of ETL (Extract, Transform, Load) processes. Collaboration with business analysts, IT teams, and data engineers is essential to accurately define requirements and troubleshoot integration issues. Successfully navigating these challenges requires strong problem-solving skills and a solid understanding of both business needs and technical solutions.

What is the difference between Data Warehousing vs Data Analyst?

AspectData WarehousingData Analyst
Primary RoleDesigning, building, and managing data storage systemsAnalyzing data to generate insights and reports
Skills & CertificationsSQL, ETL tools, database management, data modelingSQL, data visualization, statistical analysis, Excel
Work EnvironmentData warehouses, database servers, cloud platformsBusiness units, reporting tools, dashboards
Industry UsageIT, data engineering, business intelligenceMarketing, finance, operations, business analysis

While Data Warehousing focuses on creating and maintaining data storage systems, Data Analysts utilize these systems to interpret data and support decision-making. Both roles often collaborate but serve different functions within data management and analysis processes.

Is data warehousing a good career?

Data warehousing is a viable career option for those interested in managing large datasets, designing data models, and working with tools like SQL, ETL processes, and cloud platforms. It offers opportunities in industries such as finance, healthcare, and technology, with demand for skills in data integration and analytics growing steadily.

What are the most commonly searched types of Data Warehousing jobs in Ohio?

The most popular types of Data Warehousing jobs in Ohio are:

What are popular job titles related to Data Warehousing jobs in Ohio?

For Data Warehousing jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Data Warehousing jobs in Ohio look for?

The top searched job categories for Data Warehousing jobs in Ohio are:

Data Warehousing jobs near you
Infographic showing various Data Warehousing job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $93,561 per year, or $45 per hour.

Databricks Team Lead - Snowflake & Data Warehousing

MDAEdge

Columbus, OH • On-site

Full-time

Re-posted 24 days ago

Job description

Job Summary:
MDAEdge is seeking an experienced Databricks Team Lead with strong expertise in Snowflake, Data Warehousing, ETL processes, and SQL programming. The ideal candidate will lead the development and implementation of data pipelines, OLAP queries, and cloud-based data migration projects while driving architectural improvements.
Responsibilities:
• Data Warehouse Implementation – Design and implement data warehousing solutions with Snowflake and RDBMS migration.
• OLAP Query Optimization – Develop and optimize complex OLAP queries for high-performance data retrieval.
• Cloud Data Migration – Lead migration projects from RDBMS to Snowflake Cloud Data Warehouse.
• ETL Process Design – Architect ETL workflows using Informatica, Azure Data Factory (ADF), and Snow Pipe.
• SQL Programming – Utilize strong SQL skills for complex stored procedures and SnowSQL scripting.
• Cloud Platform Management – Work with AWS, Azure, GCP for data storage solutions such as S3 and ADLS.
• Data Modeling & Classification – Develop data models and ensure proper classification for efficient processing.
• Python Development – Implement Python-based automation and data handling solutions.
• Stakeholder Collaboration – Communicate effectively with technical teams and business stakeholders.
Qualifications:
Required:
• 7+ years of experience in Data Warehousing systems
• 2-3 years of hands-on experience with Snowflake
• Expertise in ETL concepts and Snowflake Architecture
• Strong SQL programming, including stored procedures and SnowSQL
• Experience with Cloud Platforms – Azure, AWS, GCP
• Proficiency in Data Migration & Data Modeling
• Hands-on experience with Python
Preferred:
• Experience with Snow Pipe, Informatica, and ADF
• Familiarity with BI Tools
• Strong communication and leadership skills
• Cloud certification (preferred)
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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