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Data Hub Jobs (NOW HIRING)

Lam Research

Data Architect

Fremont, CA · On-site

$69.75 - $89.75/hr

Utilize existing architecture as a data hub for the digital transformation program, identifying supplemental tools and services for process improvement. Offer guidance and insights on emerging data ...

Prairie View A&M

Administrative Associate IV

Prairie View, TX · On-site

$15.75 - $19.50/hr

Data Hub Operations and Documentation Support * Maintain organized electronic files, shared folders, meeting materials, project documents, templates, and operational resources for the Executive ...

Texas A&M University

$13 - $16/hr

Data Hub Operations and Documentation Support Maintain organized electronic files, shared folders, meeting materials, project documents, templates, and operational resources for the Executive ...

Keylent Inc

Data Analyst / System Analyst

Plano, TX · On-site

... Data Hub concepts and support MDH • Knowledge on writing DED (Data Exchange Documents) and providing details on data sharing • Understanding of job scheduling knowledge and nice to have ...

Texas A&M University

Administrative Associate IV

Houston, TX · On-site

$16.75 - $20.75/hr

Data Hub Operations and Documentation Support Maintain organized electronic files, shared folders, meeting materials, project documents, templates, and operational resources for the Executive ...

Tamus

Administrative Associate IV

Prairie View, TX · Hybrid

$15.75 - $19.50/hr

Data Hub Operations and Documentation Support * Maintain organized electronic files, shared folders, meeting materials, project documents, templates, and operational resources for the Executive ...

Tamus

Administrative Associate IV (Remote)

Prairie View, TX · Remote

$15.75 - $19.50/hr

Data Hub Operations and Documentation Support * Maintain organized electronic files, shared folders, meeting materials, project documents, templates, and operational resources for the Executive ...

RIT Solutions, Inc.

Cloud ETL Developer

Richmond, VA · On-site

$50 - $65.25/hr

Design and development of Data Marts. • Work closely with data analysts, data scientists, and other data consumers within the business in an attempt to gather and populate data hub and data ...

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Data Hub information

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How much do data hub jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data hub in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a data hub?

A Data Hub is a centralized platform or system that collects, integrates, manages, and distributes data from various sources across an organization. It acts as a single point of access for data users, making it easier to share, govern, and consume data efficiently. Data Hubs are commonly used to break down silos, ensure data consistency, and support analytics, reporting, and business intelligence initiatives. They differ from data warehouses or data lakes by focusing on integration and accessibility rather than just storage or analytics.

What are some common challenges faced by professionals working in data hub roles, and how are they typically addressed?

Professionals in Data Hub roles often encounter challenges related to integrating data from multiple sources, ensuring data quality, and maintaining data security. These challenges are typically addressed by implementing standardized data governance practices, using advanced ETL (Extract, Transform, Load) tools, and collaborating closely with IT, data engineering, and business teams. Regular data audits and adopting robust access controls also help ensure that data remains accurate and secure. Staying up to date with evolving technologies and best practices is key to overcoming these hurdles.

What are the key skills and qualifications needed to thrive as a data hub specialist, and why are they important?

To thrive as a Data Hub Specialist, you need a strong foundation in data management, integration techniques, and database querying, often supported by a degree in computer science or information systems. Familiarity with ETL (Extract, Transform, Load) tools, data warehousing platforms, and cloud technologies like Azure or AWS is typically required. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with stakeholders to ensure data accuracy and accessibility. These skills and qualities are vital for maintaining reliable data flows and supporting informed business decisions across the organization.

What is the difference between Data Hub vs Data Analyst?

AspectData HubData Analyst
Required CredentialsTypically requires data management certifications, knowledge of data integration toolsOften requires a degree in statistics, data science, or related fields
Work EnvironmentWorks with data infrastructure, integration, and storage systemsFocuses on analyzing data, creating reports, and providing insights
Employer & Industry UsageUsed in organizations managing large data ecosystems, tech, finance, healthcareCommon in business, marketing, finance, and consulting sectors

While both roles involve working with data, a Data Hub primarily manages data infrastructure and integration, ensuring data flows smoothly across systems. A Data Analyst focuses on interpreting data, generating reports, and providing insights to support decision-making. Understanding these differences helps organizations assign the right roles for their data needs.

What do data hubs do?

A data hub is a centralized platform that consolidates, integrates, and manages data from multiple sources to ensure consistent and accessible information across an organization. Data hub specialists often work with data integration tools, databases, and data governance practices to improve data quality and support analytics efforts.
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What job categories do people searching Data Hub jobs look for?

The top searched job categories for Data Hub jobs are:

Data Hub jobs near you
Infographic showing various Data Hub job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Platform Engineer

Rochester, NY • On-site

Avani Technology Solutions, Inc.
IT Services • 201 - 500 employees
Learn more about Avani Technology Solutions, Inc.external

$113K - $135K/yr

Full-time

Re-posted 19 days ago

Job description

Position: Data Platform Engineer
Location: Rochester, NY
Duration: 12+ Months
Hadoop and Informatica experience are a MUST
Description:
The Data Platform Engineer engages in the design, development and maintenance of the big data platform. This platform hosts structured and non-structured data sets that support various business operations and enable data-driven decisions. The role involves administering various data-hub ecosystem open source software tools along with other vendor supported tools like HortonWorks Hadoop, CISCO DV, IBM COGNOS tools. The DPE will work closely with Data Scientists, infrastructure Administrators and Data Platform Architects to ensure the platform meets business demands.
Essential Resource Responsibilities / Accountabilities: Level I- Installs and /or upgrades, configures, administers and troubleshoots the data hub software environment in order to achieve a reliable, highly available, well performing system- Provides direct technical support to data warehouse user community, and triages support to appropriate personnel when technical support is not sufficient.- Develops standards, policies and procedures for the form, structure and attributes of the data warehouse tools and systems - Develops data/information quality metrics- Develops processes to monitor cluster performance and resource usage- Works with Server Engineers to install new nodes, resolve node failures, and apply patches and upgrades- Maintains processes that feed data from various systems across the enterprise, ensuring data quality and process efficiency- Follows and helps streamline procedures for provisioning access to the BI system and establishing security Minimum Resource Qualifications:- Bachelor's degree in Information Technology, Computer Science, Software Engineering, or closely related field (or four additional years related work experience in lieu of bachelors)- Related work experience (i.e. Co-ops/Internships) preferred- Ability to take initiative and have a strong vision for driving large scale distributed data platforms- Experience with ecosystem components such as Hadoop, Cisco DV, Cognos, etc- Familiarity with Linux system administration, Linux scripting and networking skills- Proficiency in a programming language such as Python or Java is a plus- Experience with relational and NoSQL databases, including modeling and writing complex queries is a plus- MUST have EXCELLENT communication and
analytical skills Level I - Ability to perform routine tool maintenance working with the vendors and others on the team- Ability to identify data warehouse application and data issues- Monitor system uptime and performance- Escalate appropriately to management and/or more senior Tool Administrators- Minimum of 3 years' experience in tool administration- Demonstrated experience with Data Warehousing- Proactively identify and address risks on system before they become systems issues- Research and resolve data warehouse application and data issues
Physical Requirements- Ability to travel across regions Physical Requirements: In support of the Americans with Disabilities Act, this resource requirements document lists only those responsibilities and qualifications deemed essential to the position Equal Opportunity
Employer: As such, requires all suppliers of temporary staffing resources to affirm the rights of every person to participate in all aspects of employment without regard to race, color, sex/gender, age, disability, religion, creed, citizenship status, national origin, veteran status, military status, marital status, familial status, domestic violence victim status, sexual orientation, gender identity, predisposing genetic characteristic, genetic information, or any other status protected under the law

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