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Sql Server Data Warehouse Jobs (NOW HIRING)

INT Technologies

SQL Server Data Modeler

Jacksonville, FL · On-site

$50.75 - $65.75/hr

Develops database and warehousing designs across multiple platforms and computing environments ... Experience with: - SQL Server Integration Services (SSIS) - SQL Server Reporting Services (SSRS ...

INT Technologies

SQL Server Data Modeler

Jacksonville, FL · On-site

$50.75 - $65.75/hr

Develops database and warehousing designs across multiple platforms and computing environments ... Experience with: - SQL Server Integration Services (SSIS) - SQL Server Reporting Services (SSRS ...

INT Technologies

SQL Server Data Modeler

Jacksonville, FL · On-site

$50.75 - $65.75/hr

Develops database and warehousing designs across multiple platforms and computing environments ... Experience with: - SQL Server Integration Services (SSIS) - SQL Server Reporting Services (SSRS ...

INT Technologies

SQL Server Data Modeler

Jacksonville, FL · On-site

$50.75 - $65.75/hr

Develops database and warehousing designs across multiple platforms and computing environments ... Experience with: - SQL Server Integration Services (SSIS) - SQL Server Reporting Services (SSRS ...

PROVIDENT CREDIT UNION

SQL Server DBA

Redwood City, CA · On-site

$50 - $62/hr

The position is also responsible for the ongoing development and support of the SQL Server data warehouse, including operational readiness, data loads, and data modeling to support multiple ...

Provident Credit Union

SQL Server DBA

Redwood City, CA · On-site

$50 - $62/hr

The position is also responsible for the ongoing development and support of the SQL Server data warehouse, including operational readiness, data loads, and data modeling to support multiple ...

Infojini Inc

Senior SQL Server DBA

Columbia, SC

... data dictionaries and warehousing requirements. This position optimizes database access and ... SCDMV SUPPORTS IN THE NEIGHBORHOOD OF 100 PLUS SQL SERVER DATABASES AND ARE IN THE PROCESS OF ...

NAVA Software Solutions

Azure Data Lead

Clearwater, FL · On-site

SQL Server Data Warehouse - 8 years * Data Modeling - 5 years Responsibilities * You are an expert in Azure Data Analytics having a thorough understanding of Azure Data Platform tools. * Expertise ...

LTIMindtree

Principal-Data Architect

Charlotte, NC · On-site

Charlotte, NC (Hybrid role 3 days/week from day1) A SQL Server Data Warehouse Architect designs and optimizes enterprise level data storage solutions mapping business needs to technical architectures ...

LTIMindtree

Principal-Data Architect

Charlotte, NC · On-site

Charlotte, NC (Hybrid role 3 days/week from day1) A SQL Server Data Warehouse Architect designs and optimizes enterprise level data storage solutions mapping business needs to technical architectures ...

Crash Champions

Senior Data Engineer - Remote

Westmont, IL · Remote

$106K - $144K/yr

Experience with Snowflake, Azure SQL Server, Data Warehouse, Power App and Data Factory a plus * Knowledge and experience implementing ETL design patterns for data warehousing including Kimball ...

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

In this role, you will build new data pipelines and warehouse models in Snowflake while partnering with our existing SQL Server Data Engineering team to migrate legacy systems to the cloud. You will ...

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Sql Server Data Warehouse information

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How much do sql server data warehouse jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for sql server data warehouse in the United States is $57.36, according to ZipRecruiter salary data. Most workers in this role earn between $52.16 and $63.22 per hour, depending on experience, location, and employer.

What are some typical challenges faced by SQL Server Data Warehouse professionals when working with large data sets?

SQL Server Data Warehouse professionals often encounter challenges related to optimizing query performance and managing data load processes as data volumes grow. Ensuring data integrity during ETL operations and designing scalable data models to support future business needs are also common concerns. Collaboration with BI developers, data analysts, and business stakeholders is essential to translate requirements into efficient data warehousing solutions. Staying updated with the latest SQL Server features and best practices can help in addressing these challenges effectively.

What is a SQL Server Data Warehouse?

A SQL Server Data Warehouse is a centralized repository built using Microsoft SQL Server technologies to store, consolidate, and analyze large volumes of data from different sources. It is designed to support business intelligence activities such as reporting, data analysis, and decision-making by organizing data into structures like star or snowflake schemas. The data warehouse enables organizations to efficiently query and extract insights, often incorporating ETL (Extract, Transform, Load) processes to ensure data quality and consistency.

What is the difference between Sql Server Data Warehouse vs Data Analyst?

AspectSql Server Data WarehouseData Analyst
Primary RoleDesigning, developing, and managing data storage solutions for reporting and analysisInterpreting data, creating reports, and providing insights for decision-making
Required SkillsSQL, ETL processes, data modeling, database managementSQL, data visualization, statistical analysis, reporting tools
Work EnvironmentData warehouses, database servers, enterprise data systemsBusiness units, analytics teams, reporting platforms
CertificationsMicrosoft Certified: Data Engineer, SQL Server certificationsMicrosoft Certified: Data Analyst Associate, relevant analytics certifications

While a Sql Server Data Warehouse focuses on building and maintaining data storage systems, a Data Analyst interprets and analyzes data to generate insights. Both roles require SQL skills and often collaborate, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a SQL Server Data Warehouse professional, and why are they important?

To thrive as a SQL Server Data Warehouse professional, you need expertise in database design, ETL processes, T-SQL programming, and data modeling, typically supported by a degree in computer science or related field. Familiarity with Microsoft SQL Server, SSIS, SSAS, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate is highly valuable. Strong analytical thinking, attention to detail, and effective communication help you interpret business requirements and collaborate with stakeholders. These skills ensure reliable data integration, efficient reporting, and support for data-driven decision making in organizations.
More about Sql Server Data Warehouse jobs
What states have the most Sql Server Data Warehouse jobs? States with the most job openings for Sql Server Data Warehouse jobs include:
What job categories do people searching Sql Server Data Warehouse jobs look for? The top searched job categories for Sql Server Data Warehouse jobs are:
Sql Server Data Warehouse jobs near you
Infographic showing various Sql Server Data Warehouse job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $119,317 per year, or $57.4 per hour.
Data Warehouse Subject Matter Expert (SME)

Data Warehouse Subject Matter Expert (SME)

Nationwide IT Services, Inc

Arlington, VA • On-site

Full-time

Posted 25 days ago

Job description

Data Warehouse Subject Matter Expert (SME)
Position Summary
The Data Warehouse Subject Matter Expert (SME) provides senior-level technical leadership in the design, development, optimization, and support of enterprise data warehouse environments. This role serves as the primary expert for large-scale SQL Server data warehouse platforms, dimensional modeling, reporting and analytics solutions, and modern data management tools. The SME supports enterprise data initiatives by applying best practices in database architecture, ETL/ELT processes, analytics, and Agile delivery to ensure scalable, high-performing, and reliable data solutions.
100% on-site
Secret Clearance required.
Key Responsibilities
  • Serve as the SME for enterprise data warehouse architecture, design, implementation, and performance optimization.
  • Provide deep technical expertise in large-scale SQL Server database environments, including systems with multi-terabyte data volumes and billion-row datasets.
  • Design, support, and optimize enterprise data warehouse solutions using Kimball-style dimensional modeling and dimensional analysis methodologies.
  • Lead and support the development of fact and dimension structures within complex enterprise data warehouse environments consisting of large table counts and high-volume data.
  • Develop, maintain, and enhance ETL/ELT pipelines, reporting solutions, analytical models, and dashboard capabilities using Microsoft data tools and modern data management technologies.
  • Utilize tools such as SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), SQL Server Analysis Services (SSAS), Power BI, and ADO to deliver data integration, reporting, and analytics solutions.
  • Apply modern tools and technologies, including Python, R, and cloud services, to improve data processing, analytics, and data platform capabilities.
  • Collaborate with cross-functional teams in Agile environments to support iterative development, testing, deployment, and continuous improvement of data warehouse solutions.
  • Analyze data requirements, troubleshoot complex database and warehouse issues, and recommend improvements to architecture, processes, and tools.
  • Ensure that enterprise data warehouse solutions are scalable, maintainable, and aligned with mission and business objectives.

Minimum Qualifications
  • 15+ years of total database experience.
  • 12+ years of SQL Server experience within the overall 15 years of database experience.
  • Experience working with SQL Server databases of at least 5 TB and a billion total rows of data.
  • 5+ years of experience working with Agile development methodologies.
  • 3+ years of experience with Microsoft tools such as SSIS, SSRS, SSAS, Power BI, and ADO, as well as modern data management tools and technologies such as Python, R, and cloud services.
  • 3+ years of experience performing dimensional analysis in a Kimball-style Enterprise Data Warehouse with not less than 500 total tables and a billion rows of data.
  • Secret Clearance required.

Work Location
Work will be performed at DEA offices in Merrifield, VA; DEA Headquarters in Arlington, VA; and other offices deemed appropriate by the Government.
Why Join Nationwide IT Services?
Nationwide IT Services is a trusted government contractor supporting Department of Defense customers. We offer the opportunity to work on high-impact cybersecurity missions alongside experienced professionals in a collaborative and growth-focused environment.

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