ZipRecruiter

Log In

1

Data Modernization Jobs in Ohio (NOW HIRING)

CBTS

Senior Data Engineer

Cincinnati, OH · On-site

$75/hr

Senior Data Engineer Data Modernization / Fabric Migration Location: Cincinnati, OH Pay Rate: $75/hr on W2 Employment: Contract / Contract-to-Hire Duration: 6+ Months (Potential Long-Term Opportunity ...

A-TEK Inc.

Health IT Data Engineer

Continental, OH · Remote

$125K - $135K/yr

The Health IT Data Engineer will design, build, integrate, and optimize enterprise data pipelines and analytics environments supporting Health IT modernization initiatives. The successful candidate ...

SEI

Data and Analytics Consultant

Cincinnati, OH

Data Modernization * Advanced Analytics * Data Visualization The ideal candidate's experience may include but is not limited to the following: * Have experience understanding and solving real ...

SEI

Data and Analytics Consultant

Cincinnati, OH · On-site

Data Modernization * Advanced Analytics * Data Visualization The ideal candidate's experience may include but is not limited to the following: * Have experience understanding and solving real ...

A-TEK Inc.

Health IT Data Engineer

Continental, OH · On-site

$125K - $135K/yr

Support cloud-based analytics environments and data modernization initiatives. * Prepare technical documentation and data architecture diagrams. Minimum Qualifications * Bachelor's degree in Computer ...

Advanced Drainage Systems

Senior Data Engineer

Hilliard, OH · On-site

$100K - $136K/yr

This role will be a key contributor to ADS's data modernization initiative, enabling the transition to a cloud-based, scalable architecture that supports AI/ML, IoT data integration, and enterprise ...

Advanced Drainage Systems

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

This role will be a key contributor to ADS's data modernization initiative, enabling the transition to a cloud-based, scalable architecture that supports AI/ML, IoT data integration, and enterprise ...

Advanced Drainage Systems

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

This role will be a key contributor to ADS's data modernization initiative, enabling the transition to a cloud-based, scalable architecture that supports AI/ML, IoT data integration, and enterprise ...

AVI Foodsystems, Inc

Head of IT Security

Sharon, PA · Hybrid

Digital Transformation, Data Modernization, IT Operations and AI Position Overview We are seeking a visionary Security Leader to architect and lead a comprehensive security strategy for a privately ...

AVI Foodsystems

Head of IT Security

Youngstown, OH · Hybrid

Digital Transformation, Data Modernization, IT Operations and AI Position Overview We are seeking a visionary Security Leader to architect and lead a comprehensive security strategy for a privately ...

AVI Foodsystems

Head of IT Security

Warren, OH · Hybrid

Digital Transformation, Data Modernization, IT Operations and AI Position Overview We are seeking a visionary Security Leader to architect and lead a comprehensive security strategy for a privately ...

AVI Foodsystems

Head of IT Security

Akron, OH · Hybrid

Digital Transformation, Data Modernization, IT Operations and AI Position Overview We are seeking a visionary Security Leader to architect and lead a comprehensive security strategy for a privately ...

AVI Foodsystems, Inc

Head of IT Security

Warren, OH · On-site

Digital Transformation, Data Modernization, IT Operations and AI Position Overview We are seeking a visionary Security Leader to architect and lead a comprehensive security strategy for a privately ...

The Hartford

Director, Data Architect

Columbus, OH · Hybrid

$61.50 - $79.25/hr

Data Modernization: Develop and implement a strategic roadmap to modernize legacy data and analytics ecosystems using Cloud and AI.Solve fordata complexity by enabling data domains and data products ...

TriOptus LLC

Snowflake Data Engineer

Cincinnati, OH · On-site

Experience supporting strategic data modernization and cloud transformation About the team: Client is in Cloud Data Platform team provides big Data capabilities including large scale data processing ...

next page

Showing results 1-20

All JobsData Modernization JobsData Modernization Jobs in Ohio

Data Modernization information

What jobs pay $500,000 a year in the US?

In the field of data modernization, senior roles such as Chief Data Officer, Data Science Director, or Vice President of Data often have salaries reaching or exceeding $500,000 annually, especially in large organizations. These positions typically require extensive experience, advanced skills in data architecture, analytics, and leadership, and may include performance bonuses and stock options.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What jobs make $1,000,000 a year?

In the field of data modernization, high-paying roles such as Chief Data Officer, Data Science Director, or Chief Technology Officer can earn over $1 million annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data management, leadership, and often involve overseeing large teams and strategic initiatives.

What is data modernization?

Data modernization is the process of updating and transforming legacy data systems and infrastructure to more current, scalable, and efficient technologies. It often involves migrating data to cloud platforms, implementing new data management tools, and adopting modern analytics and automation techniques to improve data accessibility and decision-making.

What are some common challenges faced by professionals working in Data Modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What are the key skills and qualifications needed to thrive in Data Modernization, and why are they important?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

Which 3 jobs will survive AI?

Data modernization professionals, data analysts, and database administrators are likely to continue thriving as AI automates routine tasks but still requires human oversight, interpretation, and strategic decision-making. These roles involve managing complex data systems, ensuring data quality, and applying domain expertise that AI cannot fully replicate. Skills in data governance, programming, and understanding AI tools will enhance job security in this field.
What are popular job titles related to Data Modernization jobs in Ohio? For Data Modernization jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Modernization jobs in Ohio look for? The top searched job categories for Data Modernization jobs in Ohio are:
What cities in Ohio are hiring for Data Modernization jobs? Cities in Ohio with the most Data Modernization job openings:
Data Modernization jobs near you
Infographic showing various Data Modernization job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Data Engineer

Senior Data Engineer

CBTS

Cincinnati, OH • On-site

$75/hr

Other

Posted 24 days ago

Job description

Senior Data Engineer Data Modernization / Fabric Migration

Location: Cincinnati, OH

Pay Rate: $75/hr on W2

Employment: Contract / Contract-to-Hire

Duration: 6+ Months (Potential Long-Term Opportunity)

We are seeking a Senior Data Engineer to support a large-scale Data Modernization initiative focused on migrating and productionizing Sales and ERP data into a scalable Microsoft Fabric and Azure-based data platform. This role will be instrumental in building reusable data ingestion frameworks, enterprise data models, and production-ready analytics solutions that support future business growth.

Key Responsibilities:

  • Design, develop, and optimize scalable ETL/ELT pipelines within Microsoft Fabric and Azure environments.
  • Build reusable ingestion frameworks for ERP and operational data sources.
  • Develop and maintain dimensional data models for enterprise reporting and analytics.
  • Integrate data from ERP platforms, including Oracle Fusion and legacy systems.
  • Support Power BI modernization and migration efforts within Microsoft Fabric.
  • Ensure performance, scalability, governance, and operational reliability of data platforms.
  • Collaborate with architects, analysts, and business stakeholders to standardize data definitions and transformation logic.

Required Skills:

  • 5+ years of Data Engineering experience.
  • Strong expertise in Microsoft Fabric, Azure Data Factory (ADF), SQL, and Python/PySpark.
  • Experience with Data Lakes, Data Warehouses, ETL/ELT development, and dimensional modeling.
  • Hands-on experience with REST/API-based integrations and CI/CD for data platforms.
  • Strong understanding of enterprise data architecture, governance, and reporting frameworks.

Preferred Skills:

  • Microsoft Purview, Azure DevOps, Databricks, Snowflake, and Kafka.
  • ERP integration experience, preferably Oracle Fusion.
  • Knowledge of data security, RBAC, and governance best practices.

Apply