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Data Storage Manager Jobs in Ohio (NOW HIRING)

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

... manage datasets for model training, validation, and inference Collaborate with ML engineers and ... storage and retrieval for performance and scalability Implement data governance, security, and ...

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

... manage datasets for model training, validation, and inference Collaborate with ML engineers and ... storage and retrieval for performance and scalability Implement data governance, security, and ...

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

... data · Develop and manage datasets for model training, validation, and inference · Collaborate ... storage and retrieval for performance and scalability · Implement data governance, security, and ...

AI Data Engineer

Cleveland, OH · On-site

$110K - $133K/yr

Develop and manage datasets for model training, validation, and inference * Collaborate with ML ... Optimize data storage and retrieval for performance and scalability * Implement data governance ...

Experience with data storage and management tools (S3, SQL, MongoDB, Hbase, Apache Atlas, Kafka, etc.) * Programming experience in Python, R, or similar data manipulation languages and associated ...

Data Architect

Cleveland, OH · On-site +1

$61.75 - $79.50/hr

... data lifecycle management and integration patterns to ensure that data flows are consistent, reliable and reusable across services and solutions. * Experience with data storage technologies ...

Data Solutions Engineer

Columbus, OH · On-site

$110K - $132K/yr

... Storage. • Support the Enterprise Data Model by managing the medallion architecture layers in the data lake. • Support master data management, data modeling, and architecture by centralizing ...

Data Solutions Engineer

Cleveland, OH · On-site

$110K - $133K/yr

... Storage. • Support the Enterprise Data Model by managing the medallion architecture layers in the data lake. • Support master data management, data modeling, and architecture by centralizing ...

Data Solutions Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

... Storage. • Support the Enterprise Data Model by managing the medallion architecture layers in the data lake. • Support master data management, data modeling, and architecture by centralizing ...

Data Solutions Engineer

Cleveland, OH · On-site

$110K - $133K/yr

... Storage. • Support the Enterprise Data Model by managing the medallion architecture layers in the data lake. • Support master data management, data modeling, and architecture by centralizing ...

Data Management Devise data storage and access strategies that meet the needs of high complexity features. Use knowledge of data modeling, data storage, and data transmission techniques to make ...

Showing results 21-40

Data Storage Manager information

See Ohio salary details

$24.8K

$94.8K

$166.6K

How much do data storage manager jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data storage manager in Ohio is $94,764.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $122,100.00 per year, depending on experience, location, and employer.

What does a data storage manager do?

A Data Storage Manager is responsible for overseeing the storage, organization, and security of an organization's digital data. They manage data storage systems such as servers, cloud solutions, and backup platforms to ensure data is accessible, reliable, and protected from loss or breaches. Their role often includes monitoring storage capacity, implementing data retention policies, coordinating disaster recovery efforts, and optimizing storage performance. Data Storage Managers work closely with IT teams to support business needs and ensure compliance with data regulations.

What are the key skills and qualifications needed to thrive as a data storage manager?

To thrive as a Data Storage Manager, you need a strong understanding of storage architecture, data backup and recovery, and IT infrastructure management, often supported by a degree in computer science or related certifications. Familiarity with storage area networks (SAN), network-attached storage (NAS), cloud storage platforms, and tools like NetApp, EMC, or AWS is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for this role. These skills ensure reliable, secure, and efficient data storage solutions that support organizational operations and data integrity.

What are some common challenges faced by data storage managers in maintaining system reliability and data security?

Data Storage Managers often face challenges such as balancing storage scalability with cost, ensuring data availability, and protecting sensitive information from cyber threats. They must regularly monitor system performance, implement backup and disaster recovery solutions, and stay up-to-date with evolving security protocols. Collaboration with IT, cybersecurity teams, and business stakeholders is crucial to ensure data policies align with organizational needs and compliance requirements.

What is the difference between Data Storage Manager vs Data Analyst?

AspectData Storage ManagerData Analyst
Required CredentialsBachelor's in IT, Computer Science, or related; certifications like CompTIA Storage+Bachelor's in Statistics, Data Science, or related; certifications like Microsoft Data Analyst
Work EnvironmentData centers, IT departments, enterprise storage facilitiesOffices, research labs, data analysis teams
Employer & Industry UsageIT firms, large corporations, cloud providersMarketing, finance, healthcare, consulting firms
Common Search & ComparisonFocuses on managing storage infrastructure and data securityFocuses on analyzing data to generate insights

The Data Storage Manager primarily oversees data storage infrastructure, ensuring data security and efficient management. In contrast, a Data Analyst interprets data to support decision-making. While both roles require technical knowledge, their focus areas differ significantly, making them distinct career paths within the data industry.

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

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

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

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

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

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

What cities in Ohio are hiring for Data Storage Manager jobs?

Cities in Ohio with the most Data Storage Manager job openings:

Infographic showing various Data Storage Manager job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $94,764 per year, or $45.6 per hour.

AI Data Engineer

Cleveland, OH • On-site

Flexjet
Aerospace Product and Parts Manufacturing • 501 - 1,000 employees

$111K - $133K/yr

Full-time

Re-posted 8 days ago


Flexjet rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz


Job description

POSITION SUMMARY
Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with data scientists, ML engineers, and software teams to ensure high-quality, reliable, and scalable data pipelines for AI applications.
DUTIES & RESPONSIBILITIES
� Design, build, and maintain data pipelines for AI and machine learning workflows
� Collect, clean, and preprocess structured and unstructured data
� Develop and manage datasets for model training, validation, and inference
� Collaborate with ML engineers and data scientists to support model development
� Ensure data quality, integrity, and availability across systems
� Optimize data storage and retrieval for performance and scalability
� Implement data governance, security, and compliance best practices
� Monitor and troubleshoot data pipeline issues
REQUIRED SKILLS & QUALIFICATIONS
� Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)
� Strong programming skills in Python and/or SQL
� Understanding of data engineering concepts (ETL/ELT, data modeling, data warehousing)
� Familiarity with machine learning workflows and data requirements
� Experience with data processing tools (e.g., Pandas, Spark)
� Knowledge of relational and non-relational databases
� Basic understanding of cloud platforms (AWS, Azure, or Google Cloud)
PREFERRED QUALIFICATIONS
� Experience supporting machine learning or AI projects
� Familiarity with big data technologies (e.g., Apache Spark, Kafka, Hadoop)
� Experience with data pipeline orchestration tools (e.g., Airflow, Prefect)
� Knowledge of MLOps practices and tools
� Experience working with unstructured data (text, images, etc.)
� Understanding of data governance and privacy standards
� Strong analytical and problem-solving skills
� Attention to detail and data quality
� Ability to work with cross-functional teams
� Good communication skills
� Ability to manage multiple data workflows

What Flexjet employees say

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