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Data Mart Jobs (NOW HIRING)

E-Solutions

Data Modeler

Dallas, TX · On-site

$54.50 - $70.50/hr

Scout for right grain of data either in True source systems or in Data WHs and build reusable data models in intermediary layers before creating physical consumable views from data mart Understand ...

Paradigminfotech

Data Architect

Sacramento, CA

$68 - $87.50/hr

Minimum 7+ years of experience in data modeling, including conceptual, logical, physical, warehouse, and data mart models. Experience working with stakeholders to define user and data requirements ...

Arka Infotech Inc

Sr. Data Architect

Portsmouth, NH

$68.50 - $91.75/hr

Physical and dimensional data modeling, process modeling and data mart / warehouse design Oracle database concepts including performance optimization strategies Experience using Oracle Change Data ...

WATI

Data Modeler

Sacramento, CA · On-site

$59.75 - $77.25/hr

... data mart. Three (3) years of demonstrated experience in managing technical project deliverables. Two (2) years of demonstrated experience with Python, SQL and PowerBI. Two (2) years of work ...

Global IT Family

Warehouse OR BI Developer

Richmond, VA · On-site

$48.75 - $66.75/hr

SQL Server data mart development -- Build and optimize tables, views, stored procedures, and indexes. Visual Studio database projects -- Create and maintain database projects for versioned ...

West Advanced Technologies (WATI)

Data Modeler

Sacramento, CA · On-site

$50.75 - $65.75/hr

... data mart. Three (3) years of demonstrated experience in managing technical project deliverables. Two (2) years of demonstrated experience with Python, SQL and PowerBI. Two (2) work experiences of ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Responsible for managing a growing cloud-based data ecosystem and reliability of our Corporate datalake and analytics data mart * Contribute to the continued evolution of Corporate Analytics Platform ...

Navtech, Inc.

Senior Data Modeler

Jersey City, NJ · On-site

This position should also be an expert at SQL, working on 3NF, various data mart forms, etc. This person should be capable of being a part of various workgroups, gathering business requirements ...

Bitful Consulting

Data Engineer

$117K - $140K/yr

Data warehouse and data mart experience * Strong knowledge of various data structures and the ability to extract data from various data sources (such as Cognos, Informatica, Hyperion, etc.) Benefits

Stem Xpert

JasperSoft Resource

New York, NY

$61.75 - $76.75/hr

Basic Requirements back end integration using existing data mart and data web service API understanding of big data analytics and business intelligence requirements Agile work mode over 2-week sprint ...

ClifyX

Data Modeller

Bakersfield, CA · On-site

$56.50 - $73.50/hr

Should have experience in designing the data mart and data warehouse * Should demonstrate excellence in understanding the existing data models and ability to redesign them as per changing business ...

Jobsbridge

Big Data Scientist

San Francisco, CA

RDMS along with Data Warehouse, Data Mart and Data Mining Data Modeling Tools: IBM Rational tools (InfoSphere Data Architect and Clear Case). Hadoop frameworks such as Hive, Sqoop, and Pig SQL, SQL ...

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Data Mart information

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$46K

$165K

$243.5K

How much do data mart jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data mart 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 are the key skills and qualifications needed to thrive as a Data Mart Developer, and why are they important?

To succeed as a Data Mart Developer, you need a strong background in database design, data warehousing concepts, and proficiency in SQL, often supported by a degree in computer science or a related field. Familiarity with ETL tools (such as Informatica or Talend), data modeling software, and experience with platforms like Microsoft SQL Server or Oracle are typically required. Attention to detail, problem-solving skills, and effective communication help ensure that business requirements are accurately translated into robust data solutions. These skills are vital to deliver reliable, scalable data marts that support organizational analytics and decision-making.

What are some common challenges faced by professionals managing Data Marts, and how can they be addressed?

Professionals managing Data Marts often encounter challenges such as ensuring data consistency across multiple sources, optimizing query performance, and maintaining data security. Addressing these challenges typically involves implementing robust ETL (Extract, Transform, Load) processes, regularly monitoring and tuning database performance, and establishing clear data governance policies. Collaborating closely with data engineers, business analysts, and IT security teams is essential for maintaining the reliability and integrity of the Data Mart environment.

What is a Data Mart?

A Data Mart is a specialized subset of a data warehouse, designed to focus on a specific business area, department, or function within an organization, such as sales, finance, or marketing. It stores relevant data that is extracted, transformed, and loaded from various sources to facilitate targeted analysis and reporting. Data Marts help users access critical information quickly and make better business decisions by providing a simplified and more focused view of data compared to a full-scale data warehouse.

What is the difference between Data Mart vs Data Analyst?

AspectData MartData Analyst
Primary RoleStores and manages specific data subsets for quick accessAnalyzes data to generate insights and reports
Skills & CertificationsDatabase management, SQL, data warehousingData analysis, SQL, Excel, visualization tools
Work EnvironmentData warehouses, business intelligence systemsOffice, data analysis tools, reporting platforms
Industry UsageIT, Business Intelligence, Data ManagementBusiness, Marketing, Finance, IT

While a Data Mart focuses on storing and organizing data for quick retrieval, a Data Analyst interprets this data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

More about Data Mart jobs
What states have the most Data Mart jobs? States with the most job openings for Data Mart jobs include:
What job categories do people searching Data Mart jobs look for? The top searched job categories for Data Mart jobs are:
Data Mart jobs near you
Data Modeler

Data Modeler

E-Solutions

Dallas, TX • On-site

$54.50 - $70.50/hr

Other

Posted 12 days ago

Key responsibilities

  • Collaborate with product and business teams to understand business processes and document business requirements.

  • Develop logical and physical data models as per Medallion architecture, EDW, or Kimball model.

  • Scout for appropriate data sources and build reusable data models in intermediary layers before creating physical consumable views from data marts.

Job description

Solution Architect For Sustainability And Supply Chain

Solution Architect for Sustainability and Supply Chain Data Modelling – Understanding of Emissions (Scope 1, 2 & 3 – Data requirements, calculations), Sustainable sourcing, ESG/EHS related datasets in detail; Have worked for minimum 3 years for Data projects, (Building Data lake foundation, exposure to Workiva, Sphera, SAP ESG module)

Collaborate with the product/business teams, understand related business processes and document business requirements and then write high level specifications/requirements for DEs

Develop logical/physical data models as per Medallion architecture/EDW/Kimball model; Scout for right grain of data either in True source systems or in Data WHs and build reusable data models in intermediary layers before creating physical consumable views from data mart

Understand Cloud architecture, solution components in Cloud, DevOps, DataOps; Data Governance, Data Quality frameworks, Data Observality and the candidate should be:

  • Familiar with DevOps process
  • Knowing how to check existing tables, data dictionary, table structures
  • Experienced with normalizing tables
  • Having good understanding of Landing, Bronze, Silver and Gold layers and concepts
  • Familiar with Agile techniques

Stakeholder management with data engineering, product owners, central data modelling team, data governance & stewards, Scrum master, project team and sponsor.

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