1

Hourly Data Management Jobs (NOW HIRING)

Lead the architecture, implementation, support, and evolution of enterprise data platforms, including Master Data Management solutions and broader cloud-based data services * Own the technical ...

Be Seen First

Data Management Specialist

Denver, CO · On-site

$70K - $92K/yr

Data Management Specialist Location: Onsite, Denver, CO Position Summary The Data Management Specialist supports the Client's National Customer Service Improvement Project (CSIP) by ensuring the ...

Be Seen First

Data Management Specialist Location: Onsite, Kansas City, MO Position Summary The Data Management Specialist supports the Client's National Customer Service Improvement Project (CSIP) by ensuring the ...

Lead the architecture, implementation, support, and evolution of enterprise data platforms, including Master Data Management solutions and broader cloud-based data services * Own the technical ...

Be Seen First

Data Management Specialist

Atlanta, GA · On-site

$70K - $92K/yr

Data Management Specialist Location: Onsite Atlanta, GA Position Summary The Data Management Specialist supports the Client's National Customer Service Improvement Project (CSIP) by ensuring the ...

The Data Management Specialist also serves as the PMO Information Architect responsible for organizing, governing, and continuously improving the department's digital workspace and knowledge ...

New

Be Seen First

Data Management Specialist

Dallas, TX · On-site

$70K - $92K/yr

Data Management Specialist Location: Onsite, Dallas, TX Position Summary The Data Management Specialist supports the Client's National Customer Service Improvement Project (CSIP) by ensuring the ...

Be Seen First

Data Management Specialist Location: Onsite, Philadelphia, PA Position Summary The Data Management Specialist supports the Client's National Customer Service Improvement Project (CSIP) by ensuring ...

Data Management Specialist

Ridgecrest, CA · On-site

$70K - $80K/yr

Providing Data Management (DM) to the VECTR IPT team. Setting up Azure DevOps as the data management tracking tool. Transferring documents and data to the Azure DevOps environment. Configuring ...

Providing Data Management (DM) to the VECTR IPT team. Setting up Azure DevOps as the data management tracking tool. Transferring documents and data to the Azure DevOps environment. Configuring ...

Oversees and develops Data Management projects to ensure methodological soundness; consistently delivers quality client services and drives high-quality work products within expected timeframes and ...

Establish and maintain data management processes and document control procedures * Reporti metrics while ensuring compliance with contractual requirements, Data Item Descriptions (DIDs), company ...

Establish and maintain data management processes and document control procedures * Reporti metrics while ensuring compliance with contractual requirements, Data Item Descriptions (DIDs), company ...

Showing results 41-60

Hourly Data Management information

See salary details

$31K

$97.1K

$172K

How much do hourly data management jobs pay per year?

As of Aug 9, 2026, the average yearly pay for hourly data management in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

Is data management in demand?

Data management is in high demand across many industries due to the increasing reliance on data-driven decision making. Professionals with skills in database tools, data governance, and analytics are sought after, and the role often requires familiarity with software like SQL, Excel, or data management platforms.

What is the difference between Hourly Data Management vs Data Analyst?

AspectHourly Data ManagementData Analyst
CredentialsBasic data handling certifications, data management coursesDegree in data science, statistics, or related fields
Work EnvironmentData entry, database maintenance, routine data tasksData interpretation, reporting, analysis projects
Employer & IndustryBusinesses needing data upkeep, IT firms, administrative rolesMarketing, finance, healthcare, and other sectors requiring insights

Hourly Data Management focuses on maintaining and updating data records, often involving routine tasks and database upkeep. Data Analysts interpret data to generate reports and insights, requiring more analytical skills and often higher education. While both roles work with data, their responsibilities and skill requirements differ significantly.

What cities are hiring for Hourly Data Management jobs? Cities with the most Hourly Data Management job openings:
What are the most commonly searched types of Data Management jobs? The most popular types of Data Management jobs are:
What states have the most Hourly Data Management jobs? States with the most job openings for Hourly Data Management jobs include:

$161K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Overview
Internova Travel Group is one of the largest travel services companies in the world with a collection of leading brands delivering high-touch, personal travel expertise to leisure and corporate clients. Internova manages leisure, business and franchise firms through a portfolio of distinctive divisions. Internova represents more than 100,000 travel advisors in over 6,000 company-owned and affiliated locations predominantly in the United States, Canada and the United Kingdom, with a presence in more than 80 countries. Click here for more information about Internova Travel Group.
Responsibilities
As a Manager, Data Management, you will lead the architecture, design, delivery, and ongoing evolution of the company's enterprise data platforms, with Master Data Management serving as an important part of a broader modern data strategy. You will also be responsible for leading development efforts, managing various projects and initiatives within the Data Management group using Big Data technologies and related platforms, and overseeing existing applications. You will also undertake a leadership role in the ownership and accountability of all data applications, databases, and services. In this position, you will be expected to build and manage robust solutions in Azure-based cloud deployments of Big Data platforms. As a Manager, Data Management, you will lead a team of in-house and outsourced Data Engineers and developers in architecture, requirements, analysis, design, development, deployment and systems integration activities.
  • Lead the architecture, implementation, support, and evolution of enterprise data platforms, including Master Data Management solutions and broader cloud-based data services
  • Own the technical direction for the MDM platform, including data models, integration patterns, survivorship rules, matching, workflow, stewardship, and data quality processes
  • Define and advance the long-term architecture for modern big data platforms, including data lakes, data lakehouses, delta lakes, scalable storage patterns, and cloud-native data processing frameworks
  • Provide leadership and guidance to data engineers and developers in architecture, design, development, deployment, platform operations, and production support activities
  • Design and oversee integrations between data platforms, operational systems, and analytical platforms using APIs, ETL/ELT pipelines, Azure Data Factory, Function Apps, Logic Apps, and related cloud services
  • Establish architecture standards and engineering best practices for enterprise data platforms, including ingestion, transformation, orchestration, storage, semantic modeling, observability, and security
  • Provide leadership and guidance to data engineers and developers in architecture, design, development, deployment, platform operations, and production support activities

Qualifications
  • BA/BS or master's degree in Computer Science, Information Systems, Engineering, or a related field
  • 7+ years of progressive experience in data architecture, data engineering, big data platforms, data integration, MDM, or related disciplines
  • 5+ years of experience designing and delivering cloud-based data solutions in Microsoft Azure or comparable cloud platforms
  • Strong experience designing modern enterprise data platforms, including data lakes, data lakehouses, delta lakes, scalable storage patterns, and distributed data processing frameworks
  • Hands-on experience with cloud data technologies such as Azure Data Lake Storage, Azure Databricks, Azure SQL Database, Azure Data Factory, Microsoft Fabric, Snowflake, or comparable services
  • Solid experience in Azure Function Apps, Azure Logic Apps, Azure Kubernetes Service (AKS), and Azure Databricks
  • Strong knowledge of data modeling, data architecture, ETL/ELT design, pipeline orchestration, and batch and streaming integration patterns
  • Experience with Spark-based processing, SQL, Python, or other modern data engineering tools and techniques used to build scalable cloud data platforms
  • Experience building and supporting integrations using APIs, event-driven or file-based data exchange, and operational-to-analytical data movement patterns
  • Working knowledge of Master Data Management concepts and platforms, including data quality, mastering, matching, survivorship, hierarchy management, and stewardship workflows
  • Experience with DevOps and delivery practices using tools such as Azure DevOps, Git repositories, CI/CD pipelines, and Agile delivery methods
  • Understanding of data governance, metadata, lineage, cataloging, quality controls, and security models such as Azure AD and role-based access
  • Proven ability to lead teams, manage multiple initiatives, define architecture direction, and drive delivery in complex enterprise environments
  • Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts into clear business language
  • Self-starter with strong analytical and problem-solving skills and the ability to independently identify root causes, evaluate options, and implement scalable solutions

Desired but not required
  • Experience in the travel industry
  • Experience with Master Data Management platforms such as Profisee or comparable tools
  • Microsoft Azure certifications such as Azure Data Engineer Associate, Azure Solutions Architect, or related cloud certifications
  • Experience with data governance and catalog tools such as Microsoft Purview
  • Familiarity with project and work management tools such as Jira, Confluence, and SharePoint
  • Experience managing offshore, remote, or hybrid delivery teams
  • Exposure to machine learning, advanced analytics, AI-enabled data capabilities, or real-time/event-driven data architectures is a plus

PAY AND BENEFITS
Our benefit offerings include choice of two medical plans and two dental plans, vision insurance, flexible spending accounts (FSAs), company-paid life insurance and AD&D, optional additional life insurance and AD&D, disability insurance, paid parental leave, paid time off, 401k Plan with company match, discounted employee travel options, access to LinkedIn Learning webinars and courses. Discounted pet insurance and auto, home, & renters insurance.
The salary range on this job posting/advertising has been developed to give applicants a wide range to comply with pay transparency laws in all states and geographical areas. Many factors, such as years of experience, geographical location, budget etc. are considered when determining the starting rate of pay. The salary range posted represents the pay range for U.S. candidates. If the job posting indicates that the role is available for international candidate consideration, the salary range will be based on the local market for the country where the candidate would be working.
This role may be eligible for an incentive, commission, bonus, or a discretionary bonus program based on the company's financial goal achievement and individual performance.
Internova Travel Group is an Equal Opportunity Employer. We make employment decisions without regard to age, race, religion, national origin, gender, disability, veteran status, genetic information, sexual orientation and gender identity or any other protected class.
Prospective Employee Privacy Policy
#Li-remote