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Metadata Assistant Jobs in Cleveland, OH (NOW HIRING)

Senior Data Engineer

Strongsville, OH · On-site

$97K - $132K/yr

Assist in the evaluation, selection, deployment, and maintenance of data infrastructure components ... Implement robust data validation, quality checks, and metadata management to monitor data accuracy ...

Sr BSA

Cleveland, OH · Hybrid

$50 - $60/hr

... Assist in development of Features to describe Soft Skills • Exceptional communication and ... metadata management, and data quality frameworks. - Experience working with data privacy ...

Senior Data Engineer

Strongsville, OH · On-site

$97K - $132K/yr

... incidents. * Assist in the evaluation, selection, deployment, and maintenance of data ... Implement robust data validation, quality checks, and metadata management to monitor data accuracy ...

Senior Data Engineer

Strongsville, OH · On-site

$97K - $132K/yr

... incidents. * Assist in the evaluation, selection, deployment, and maintenance of data ... Implement robust data validation, quality checks, and metadata management to monitor data accuracy ...

Showing results 21-24

Metadata Assistant information

See Cleveland, OH salary details

$7

$19

$37

How much do metadata assistant jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for metadata assistant in Cleveland, OH is $19.96, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $21.92 per hour, depending on experience, location, and employer.

What is a metadata assistant?

Metadata Assistants are professionals who support the organization, management, and maintenance of metadata in libraries, archives, museums, or digital collections. Their primary role involves creating, editing, and ensuring the accuracy of metadata records, which helps users locate and access resources efficiently. They may also assist with data entry, quality control, and the application of cataloging standards. Metadata Assistants work closely with librarians, archivists, and other information professionals to maintain high-quality information systems.

What are the key skills and qualifications needed to thrive as a metadata assistant, and why are they important?

To thrive as a Metadata Assistant, you need a detail-oriented mindset, familiarity with metadata standards, and a background in library science or information management. Experience with cataloging systems, library management software, and knowledge of standards such as MARC or Dublin Core is commonly required. Strong organizational skills, accuracy, and effective communication help you excel in updating and maintaining metadata records. These skills ensure the accurate organization, retrieval, and accessibility of digital and physical information resources.

What are some common challenges faced by metadata assistants, and how can they be addressed?

Metadata Assistants often encounter challenges such as ensuring data accuracy, maintaining consistency across different cataloging standards, and managing large volumes of information. Staying up-to-date with changing metadata standards and mastering various database systems can also be demanding. To address these challenges, it’s helpful to participate in ongoing professional development, collaborate closely with catalogers and IT staff, and utilize quality control tools to regularly audit and correct metadata entries. Building strong communication skills and being detail-oriented are key assets in this role.

What is the difference between Metadata Assistant vs Data Entry Clerk?

AspectMetadata AssistantData Entry Clerk
Required SkillsKnowledge of metadata standards, attention to detail, basic database skillsTyping accuracy, data input, basic computer skills
Work EnvironmentLibraries, archives, digital repositoriesOffices, administrative settings
CertificationsOften none, but familiarity with cataloging standards helpsNone typically required
Industry UsageLibraries, museums, digital asset managementVarious industries, administrative roles

The main difference is that Metadata Assistants focus on organizing and maintaining digital or physical metadata to improve asset retrieval, while Data Entry Clerks primarily input and manage data accuracy in databases. Metadata Assistants require knowledge of metadata standards and work in specialized environments, whereas Data Entry Clerks perform general data input tasks across various industries.

What are the most commonly searched types of Metadata jobs in Cleveland, OH?

The most popular types of Metadata jobs in Cleveland, OH are:

What are popular job titles related to Metadata Assistant jobs in Cleveland, OH?

For Metadata Assistant jobs in Cleveland, OH, the most frequently searched job titles are:

What job categories do people searching Metadata Assistant jobs in Cleveland, OH look for?

The top searched job categories for Metadata Assistant jobs in Cleveland, OH are:

What cities near Cleveland, OH are hiring for Metadata Assistant jobs?

Cities near Cleveland, OH with the most Metadata Assistant job openings:

Infographic showing various Metadata Assistant job openings in Cleveland, OH as of August 2026, with employment types broken down into 50% Full Time, 39% Part Time, and 11% Temporary. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $41,527 per year, or $20 per hour.

Senior Data Engineer

Foundation Software

Strongsville, OH • On-site

$97K - $132K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 21 days ago


Foundation Software rating

9.3

Company rating: 9.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

14th of 247 rated software companies


Job description

Senior Data EngineerWe are a Microsoft heavy organization looking to build out and modernize our data ecosystem. We are seeking a Senior Data Engineer to help design, build, and establish the engineering standards for our data platform. This role requires a hands-on engineer with strong experience in data architecture, data modeling, ETL/ELT, cloud data platforms, and modern data engineering practices.The Senior Data Engineer will design and implement scalable data pipelines, data models, and data platform solutions that support analytics, business intelligence, AI, and enterprise reporting. The role will also help establish best practices for data engineering, reliability, performance, governance, and deployment while partnering closely with business stakeholders, analysts, and technology teams.This is a hands-on role for an experienced engineer who can move effectively from architecture and design through implementation and production support. We need someone who has done this before, understands what good looks like, and can help shape how we build, operate, and evolve our data environment.Essential Functions and ResponsibilitiesKey ResponsibilitiesArchitect, build, and manage data repositories, data integration solutions, and scalable pipelines.Implement CI/CD practices for data pipelines and transformations.Design and implement monitoring, alerting, observability, and operational support processes for data pipelines and platforms. Troubleshoot and resolve data pipeline failures, performance bottlenecks, and production incidents.Assist in the evaluation, selection, deployment, and maintenance of data infrastructure components, including databases, data platforms, and pipeline tools.Create, maintain, and evolve logical and physical dimensional data models and schema designs in support of storage, retrieval, and analytics.Optimize data storage, processing, and query performance while managing cloud infrastructure costs. Execute strategies for workload tuning, partitioning, indexing, and resource utilization.Implement robust data validation, quality checks, and metadata management to monitor data accuracy, consistency, and reliability across pipelines aiding analytics, BI, and AI requirements.Ensure data governance policies, compliance requirements, and security requirements are met by design as code.Maintain proficiency with technology trends in data engineering, evaluating potential impacts.Document data architectures, infrastructure designs, pipelines, workflows, transformations, and data models for both technical and non-technical audiences.Collaborate with business and technical stakeholders to define requirements, prioritize initiatives, and deliver trusted, scalable data products and services.Mentor and coach team members while promoting engineering best practices, technical standards, and continuous improvement.Required Skills and ExperienceBachelor's degree in Computer Science, Data Engineering, Mathematics, or related field.7+ years of hands-on experience in data engineering or a closely related discipline.Expert-level SQL skills in database design, dimensional modeling, query optimization, indexing, and performance tuning.Experience with modern cloud data warehouses (Fabric Warehouse, BigQuery, Databricks, etc.), including Lakehouse architectures and large-scale data processing platforms.Strong experience designing logical and physical data models including star and snowflake schemas. Background implementing CI/CD pipelines and automated deployment practices (g. DevOps, GitHub Actions).Experience with programming skills in languages commonly used in data engineering (e.g. Python, Java, or Scala).Excellent experience with modern ETL/ELT orchestration tools (e.g. Fivetran, Azure/Fabric Data Factory, and dbt or similar tools).Strong experience and knowledge with cloud platforms and data services (e.g. AWS, Azure, Fabric).Proficient with version control systems (e.g. GitHub or Azure DevOps).Experience with BI tools (e.g. Microsoft Power BI or Tableau).Comfortable working independently in a dynamic environment, managing multiple priorities even in the face of ambiguity or evolving requirements.Company CultureWhat is great about working for Foundation? Plenty! We have a fun, casual, yet hard-working culture that invests in our employees, promotes creativity, and delivers on our reputation. Would you like to work for a company that offers manicures and pedicures in the office? We do! How about massages, laundry service, monthly car washes, catered lunches Wednesdays and a monthly happy hour - we offer all this and more!At Foundation we believe in and promote a work-life balance with a top-notch workout facility, fitness classes and free personal training; and for those competitive types, a game room complete with table tennis, foosball, and video game systems. Also, some comforts of home, there is a full kitchen, free coffee and specialty flavors, soft drinks, and snacks.Other employee rewards include tickets to Cleveland sporting events, a variety of lunch and learns, and various employee-appreciation events throughout the year. Benefits include paid vacation, paid holidays, 401(k) with match, and tuition reimbursement, plus medical, eye and dental. Now offering discounts on pet, home, and auto insurance through Liberty Mutual!Foundation is constantly recognized as one of Northeast Ohio's top workplaces. We are a 20-time winner of the NorthCoast 99 award, a multi-year winner of The Plain Dealer's Top Workplaces award, and have been recognized multiple years on the Inc. 5000 list of fastest-growing private companies in the U.S.Let us start your future at Foundation!Foundation Software is an Equal Opportunity Employer.


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