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Data Hub Jobs (NOW HIRING)

TerraPower LLC.

Data Architect

Bellevue, WA · On-site

$72 - $92.50/hr

Evaluate a Data Hub architecture to streamline the exchange of data between operational applications and the analytical lakehouse, reducing point-to-point integration complexity Cross-Functional ...

Mindlance

Engineer, Data Sr

Reston, VA · On-site

$119K - $143K/yr

... Hub, Operational Console • Experience with Ab Initio, AWS EKS, S3, Dynamo DB, Mongo DB, ProgreSQL, RDS, DB2 • Created Big Data pipelines (ETL) from on-premises to Data Factories, Data Lakes, and ...

MSR Cosmos

AWS Data Architect

Gardena, CA · On-site

$65.25 - $84/hr

Architect and implement a scalable data hub solution on AWS using best practices for data ingestion transformation storage and access control * Define data models data lineage and data quality ...

DTCC

Lead Platform Engineer

Coppell, TX · On-site

$95K - $125K/yr

The Data Quality & Data Hub Platforms Engineering team is responsible for platform engineering activities for critically important Data Quality and Data Hub platforms. Data Quality and Data Hub ...

DRC Systems

Informatica Developer

Mclean, VA · On-site

$50 - $55/hr

Support client's data quality initiative by validating data movement across source and target systems within the data hub. This role leverages Informatica IDMC and Cloud Data Quality (CDQ) tooling to ...

DTCC

Lead Platform Engineer

Jersey City, NJ · On-site

$107K - $140K/yr

The Data Quality & Data Hub Platforms Engineering team is responsible for platform engineering activities for critically important Data Quality and Data Hub platforms. Data Quality and Data Hub ...

DTCC

Lead Platform Engineer

Tampa, FL · On-site

$93K - $122K/yr

The Data Quality & Data Hub Platforms Engineering team is responsible for platform engineering activities for critically important Data Quality and Data Hub platforms. Data Quality and Data Hub ...

DTCC

Lead Platform Engineer

Coppell, TX · On-site

$95K - $125K/yr

The Data Quality & Data Hub Platforms Engineering team is responsible for platform engineering activities for critically important Data Quality and Data Hub platforms. Data Quality and Data Hub ...

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Data Hub information

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$46K

$165K

$243.5K

How much do data hub jobs pay per year?

As of Jul 17, 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 does a DataHub do?

A DataHub is responsible for managing, integrating, and maintaining large datasets within an organization. They often work with data pipelines, databases, and tools like SQL or data integration platforms to ensure data quality, accessibility, and security for analysis and decision-making.

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.

Is it hard to find a job as a data analyst?

Finding a job as a data analyst can vary depending on the industry, location, and your skills. Strong proficiency in tools like Excel, SQL, and data visualization software, along with relevant certifications, can improve job prospects. Entry-level positions are available, but competition may require building a solid portfolio and gaining experience through internships or projects.

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 companies use DataHub?

DataHub is an open-source data catalog platform used by various organizations to manage and discover their data assets. Companies across industries such as technology, finance, and healthcare implement DataHub to improve data governance and collaboration. Job roles related to DataHub often require familiarity with data management tools and metadata management skills.

What is the highest paying data job?

The highest paying data jobs typically include Data Engineering Manager, Data Architect, and Chief Data Officer, with salaries often exceeding $150,000 annually. These roles require advanced skills in data modeling, cloud platforms, and leadership, and they oversee large-scale data infrastructure and strategy.

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.
More about Data Hub jobs
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

Project Manager

Texas State Library and Archives Commision

Chicago, IL • On-site

Other

Re-posted 14 days ago

Job description

Job Details:
Minimum of 7-8 years of experience in project management, with a focus on technology projects related to finance transformation.
Must be strong exp in Data warehouse, Data Governance and financial project.
Proven track record of successfully delivering complex projects on time and within budget.
Experience with Agile methodologies and Agile portfolio management.
Experience managing data and analytics projects, including Data Warehouse, Data Hub, Data Governance, Analytics, and Predictive Analytics.
Data warehouse, Analytics, Data Governance. Oracle EPM is huge plus
Familiarity with corporate financial systems and processes, with experience managing finance projects
Lead technology projects related to finance transformation, with a focus on data and analytics initiatives such as Data Warehouse, Data Hub, Data Governance, Analytics, and Predictive Analytics.

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