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Hourly Metadata Analyst Jobs (NOW HIRING)

Software Engineer

Charlotte, NC · Hybrid

$51 - $55/hr

Charlotte, NC Salary: $51.00 USD Hourly - $55.00 USD Hourly Description: Business Data Analyst ... This role focuses on data lifecycle oversight, risk and regulatory awareness, metadata onboarding ...

Understanding of data governance practices, including data lineage, cataloging, and metadata ... Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a ...

Software Engineer

Charlotte, NC · Hybrid

$51 - $55/hr

Charlotte, NC Salary: $51.00 USD Hourly - $55.00 USD Hourly Description: Business Data Analyst ... Partner with metadata and data simulation teams to ensure data is processed correctly * Validate ...

... metadata, dependencies, and workload management Test automation and Azure DevOps integration ... Hourly Rate: $40-$60 per hour Benefits Health, Dental, Vision Insurance Application Deadline ...

... metadata, dependencies, and workload management Test automation and Azure DevOps integration ... Hourly Rate: $40-$60 per hour Benefits Health, Dental, Vision Insurance Application Deadline ...

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Hourly Metadata Analyst information

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How much do hourly metadata analyst jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for hourly metadata analyst in the United States is $48.43, according to ZipRecruiter salary data. Most workers in this role earn between $34.62 and $60.34 per hour, depending on experience, location, and employer.

How does an Hourly Metadata Analyst typically collaborate with other teams during a project?

As an Hourly Metadata Analyst, you often work closely with content managers, data engineers, and quality assurance teams to ensure metadata accuracy and consistency. Collaboration usually involves attending project meetings, sharing updates, and clarifying data requirements or standards. Effective communication is key, as you may need to explain metadata nuances or resolve discrepancies by coordinating with various departments. This teamwork ensures that metadata aligns with organizational goals and supports seamless content discovery and management.

What are the key skills and qualifications needed to thrive as an Hourly Metadata Analyst, and why are they important?

To thrive as an Hourly Metadata Analyst, you need strong analytical skills, attention to detail, and familiarity with metadata standards, typically supported by a relevant degree or experience in data management. Proficiency with content management systems (CMS), digital asset management (DAM) tools, and spreadsheet software like Excel is often required. Excellent organizational skills, communication abilities, and a collaborative mindset help you excel in this role. These competencies ensure accurate metadata entry and management, supporting efficient content discovery, retrieval, and overall data integrity.

What are Hourly Metadata Analysts?

Hourly Metadata Analysts are professionals who work on an hourly basis to review, organize, and manage metadata for digital assets such as videos, images, documents, or databases. Their responsibilities typically include ensuring metadata accuracy, updating records, and maintaining data integrity to improve searchability and accessibility. These analysts often collaborate with content teams, librarians, or IT departments to implement metadata standards and support digital asset management systems. The hourly nature of the role allows companies to scale their metadata needs flexibly, depending on project demands.
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Data QA/Databricks Implementation Specialist

Data QA/Databricks Implementation Specialist

Kforce Technology Staffing

Juno Beach, FL

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

RESPONSIBILITIES:
Kforce has a client that is seeking a Data QA/Databricks Implementation Specialist in Juno Beach, FL.
Summary:
The Data Quality Analyst/Databricks Implementation Specialist plays a key role in advancing the company's enterprise data governance and Databricks Lakehouse strategy. This role partners closely with business data stewards, data owners, and technical teams to translate business data requirements into governed, high-quality datasets within Databricks Unity Catalog. The analyst will support domain onboarding, develop and operationalize data quality rules, perform profiling and analysis, and help implement enterprise standards for metadata, lineage, and semantic consistency.
Key Responsibilities:
Data Quality & Profiling:
* Develop, document, and maintain data quality rules for critical data elements (CDEs)
* Perform data profiling, anomaly detection, and root-cause analysis
* Partner with data stewards to validate definitions, thresholds, and business rules
* Monitor and report on data quality metrics and remediation progress
Databricks Unity Catalog Implementation:
* Support Unity Catalog rollout across domains, including catalog structure, tagging, and metadata standards
* Assist with onboarding domains into the Bronze, Silver, and Gold architecture
* Ensure lineage, ownership, and quality rules are embedded into Databricks pipelines
* Help implement domain-aligned access controls and sensitivity tagging
Collaboration with Data Stewards & Business Partners:
* Work directly with business data stewards to understand data requirements and quality expectations
* Translate business meaning into standardized CDEs and steward-approved metadata
* Facilitate working sessions to align on semantics, domain boundaries, and data product requirements
* Support consistent governance practices across domains
Metadata, Lineage, and Catalog Management:
* Maintain high-quality metadata in the enterprise data catalog
REQUIREMENTS:
* 3-5 years of experience in data quality, data governance, or data analysis
* Hands-on experience with Databricks, Delta Lake, or similar cloud platforms
* Strong understanding of data quality concepts
* Experience with metadata catalogs or governance tools
* Proficiency with SQL and data analysis
* Strong communication skills
Preferred Qualifications:
* Experience with Databricks Unity Catalog
* Familiarity with Medallion Architecture
* Exposure to governance frameworks (DAMA, DCAM)
* Experience collaborating with data stewards or data owners
* Knowledge of data modeling or semantic layers
Success Profile:
* A successful candidate will be detail-oriented, collaborative, analytical, and motivated to help build a scalable, enterprise-wide data governance and quality program
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.