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Data Mart Jobs (NOW HIRING)

DA Engineer

Dallas, TX · On-site

$75K - $80K/yr

DA Engineer Roles & Responsibilities • This position is for a Data Mart developer role (ACH Data Mart TM), who will be working on Money Movement Data Mart for ACH Project and other Data Mart ...

Senior Data Warehouse Analyst

Olympia, WA · On-site

$92K - $116K/yr

Provide technical assistance to staff in writing complex data-mart queries, based on the detailed knowledge gained during the construction of ETL routines. The outcome of this task shall be the ...

Partner with BI teams to structure the data mart for reporting and dashboarding in tools such as Tableau and Sigma. * Identify opportunities to apply ML/AI techniques (e.g., anomaly detection ...

Partner with BI teams to structure the data mart for reporting and dashboarding in tools such as Tableau and Sigma. * Identify opportunities to apply ML/AI techniques (e.g., anomaly detection ...

Data Modeler (W2)

San Antonio, TX

$49.50 - $64/hr

Company Description US IT Solutions. Required Skills - PLEASE INDICATE YEARS OF EXP BY EACH Data Models - Experienced in Data Mart (Star Shema Structures) and Warehouse Data Model designs (Normalized ...

Data Architect

Waukegan, IL

$60.50 - $78/hr

Experience working in Biopharmaceutical industry (regulatory affairs) Experience with Data Warehouse and Data Mart Design Additional Information Multiple Openings for OPT/CPT/H4/L2/EAD/Citizen'

Data Engineering

Westlake, TX · On-site

$91K - $204K/yr

Build and maintain data mart solutions that support reporting and analytics use cases. * Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large ...

Data Architect

Sunnyvale, CA · On-site

$74.75 - $96.25/hr

Develop Logical and Physical Data Models, including data warehouse and data mart designs. * Define relational tables, primary/foreign keys, and stored procedures to create data model structures.

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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 Aug 30, 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 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 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 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:

Infographic showing various Data Mart job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Mart Developer

Charlotte, NC • On-site

$100K - $120K/yr

Full-time

Posted 18 days ago


Job description

Data Mart Developer
Roles & Responsibilities
• This position is for a Data Mart developer role (ACH Data Mart TM), who will be working on Money Movement Data Mart for ACH Project and other Data Mart specific initiatives to be delivered as a part of overall Data Mart & Modernization initiative. The candidate is required to have strong financial/payments domain knowledge and technical capabilities required to implement the project. The role will provide the technical mentorship required for the enhancements planned for ACH Data Mart Project.
Must Have
• 10+ years of strong experience in designing and implementing ETL/ELT processes, scalable data pipelines, and robust data integration frameworks.
• 10+ Extensive knowledge of database systems and analytics concepts, including query optimization and data processing techniques.
• 10+ Strong proficiency in scripting and programming languages, with a preference for Python, for data processing and automation.
• 5+ Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), including data services and storage solutions.
• 5+ Support analytical data models with pre-aggregations and drill-down capabilities
• 5+ Deep understanding of data modeling (dimensional and relational), data warehousing, and big data architecture principles.
• 5+ Very good understanding and hands on experience in Microsoft Power BI (Data modeling, DAX, Optimization, visualization best practices)
• 5+ Develop data mart structures supporting reporting, analytics, and regulatory needs
• 5+ Experience in AI/ML application in the data lake/warehouse areas, knowledge of medallion architecture.
• 5+ Strong understanding of data warehousing concepts and best practices.
• Knowledge of data security and compliance in cloud environments.
• 5+ Design, Develop and support real-time and near real-time data processing pipelines
• 5+ Implement data quality controls (accuracy, completeness, timeliness)
• 5+ Good understanding of implementation of authentication and authorization on application level.
• 5+ Very good understanding of performance optimization.
Nice to Have:
• 5+ Experience working in the financial industry domain. Preferred in Payments Domain.
• 5+ Align models with ISO20022 standards, BIAN domains, and enterprise data taxonomy
• 5+ Integrate data across multiple payment rails e.g. ACH, Wires, RTP, FedNow, Zelle
• 5+ Build unified data models for cross-rail analytics and reporting.
Salary Range- $100,000-$120,000 a year
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