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Hourly Metadata Analyst Jobs in Utah (NOW HIRING)

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Hourly Metadata Analyst information

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?

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 is an hourly metadata analyst?

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.
What cities in Utah are hiring for Hourly Metadata Analyst jobs? Cities in Utah with the most Hourly Metadata Analyst job openings:
Hourly Metadata Analyst jobs near you

Senior Data Engineer (Databricks & Cloud Analytics

Judge Group, Inc.

Salt Lake City, UT • On-site

$60 - $65/hr

Other

Posted 14 days ago

Job description

Location: Salt Lake City, UT Salary: $60.00 USD Hourly - $65.00 USD Hourly Description:
About the Role
We are seeking an experienced Senior Data Engineer to design, develop, and support enterprise-scale data solutions that enable analytics, reporting, and business decision-making. In this role, you will collaborate with solution architects, business analysts, data scientists, and stakeholders to build scalable cloud-based data platforms and high-performance data pipelines using modern data engineering technologies. The position requires expertise in Databricks, Apache Spark, cloud analytics platforms, and enterprise data integration within an Agile development environment.
Responsibilities
  • Design, develop, test, deploy, and maintain enterprise data engineering solutions using cloud and big data technologies.
  • Design and implement scalable ETL/ELT pipelines utilizing Databricks, Apache Spark (PySpark), Delta Lake, and Azure Data Factory.
  • Build and maintain high-performance data ingestion, transformation, and integration frameworks for analytics and reporting.
  • Develop, optimize, and maintain complex SQL queries, stored procedures, and data transformation processes.
  • Design and implement scalable data models supporting business intelligence, analytics, and AI initiatives.
  • Build and integrate RESTful APIs, event-driven architectures, and SOAP-based services to support enterprise data exchange.
  • Develop and maintain streaming and messaging solutions using Apache Kafka.
  • Monitor, troubleshoot, and optimize production data pipelines, perform root cause analysis, and implement long-term solutions.
  • Apply data quality, governance, security, and performance best practices across data platforms.
  • Manage source code using Git and follow CI/CD and DevOps practices.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Participate in Agile ceremonies including sprint planning, backlog refinement, architecture discussions, code reviews, and retrospectives.
  • Create technical documentation, deployment artifacts, testing documentation, and operational runbooks.
  • Mentor junior engineers and contribute to engineering standards, best practices, and continuous improvement initiatives.

Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical discipline, or equivalent professional experience.
  • 6+ years of experience designing, developing, and supporting enterprise data platforms, cloud analytics solutions, or large-scale data engineering initiatives.
  • Strong hands-on experience with:
    • Databricks, Apache Spark (PySpark), Python, SQL, Scala
  • Experience with the Databricks ecosystem, including:
    • Databricks Workspaces, Delta Lake, Unity Catalog, Delta Live Tables (DLT), Databricks SQL, MLflow, Databricks Jobs
  • Strong SQL development skills, including query optimization and performance tuning.
  • Experience designing and implementing ETL/ELT solutions using Azure Data Factory or similar cloud integration platforms.
  • Experience with Apache Kafka or other event streaming technologies.
  • Experience integrating enterprise applications using REST APIs, JSON, XML, and SOAP web services.
  • Experience with Azure Data Lake Storage (ADLS Gen2) or comparable cloud storage platforms.
  • Experience using Git for source code management and collaborative software development.
  • Experience working in Linux environments, including shell scripting and command-line utilities.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Experience working in Agile environments utilizing Scrum, Kanban, or SAFe methodologies.
  • Demonstrated ability to manage multiple priorities while delivering high-quality solutions.
  • Proven ability to work independently while mentoring team members and contributing to technical leadership.
  • Ability to communicate complex technical concepts to both technical and non-technical audiences.
  • Ability to collaborate effectively with cross-functional teams and stakeholders.

Preferred Skills
  • Infrastructure as Code (IaC) tools such as Terraform.
  • CI/CD pipeline implementation using Azure DevOps, GitHub Actions, or similar platforms.
  • Microsoft Azure cloud services.
  • Azure Synapse Analytics.
  • Microsoft Fabric.
  • Power BI.
  • Data governance and metadata management.
  • DataOps and MLOps practices.
  • Enterprise data warehousing.
  • Master Data Management (MDM).
  • Experience working with financial services or public sector data environments.

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Contact:
This job and many more are available through The Judge Group. Please apply with us today!

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