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Sql Server Data Warehouse Jobs (NOW HIRING)

... and data warehousing. • Experience with ETL tools and techniques. • Knowledge of data ... SQL Server Integration Services). • Familiarity with the o9 platform and its data model. • ...

... and data warehousing. • Experience with ETL tools and techniques. • Knowledge of data ... SQL Server Integration Services). • Familiarity with the o9 platform and its data model. • ...

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 ...

... and data warehousing. • Experience with ETL tools and techniques. • Knowledge of data ... SQL Server Integration Services). • Familiarity with the o9 platform and its data model. • ...

... and data warehousing. • Experience with ETL tools and techniques. • Knowledge of data ... SQL Server Integration Services). • Familiarity with the o9 platform and its data model. • ...

... and data warehousing. • Experience with ETL tools and techniques. • Knowledge of data ... SQL Server Integration Services). • Familiarity with the o9 platform and its data model. • ...

... data tools. 4) SharePoint. 5) Experience mentoring others. Qualifications Required Skills: 1) SQL Server database administration (Version 2008). 2) Database design and development support. 3) ...

Data Warehouse & BI Engineer

Charlotte, NC · On-site

$48 - $66/hr

SQL / SSRS / SSIS / SSAS / TSQL / DATA WAREHOUSE / ETL / POWER BI Description: * The Data Warehouse & BI Engineer supports manufacturing environment by leading the design, development, and delivery ...

Senior Data Engineer

Tulsa, OK · Remote

$108K - $147K/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 ...

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 Sep 14, 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 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 are the key skills and qualifications needed to thrive as a SQL Server Data Warehouse professional?

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.

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 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.

Is SQL Server good for data warehouses?

SQL Server is widely used for data warehousing due to its robust support for large-scale data storage, integration, and analysis features like SQL Server Integration Services (SSIS) and Analysis Services (SSAS). It offers high performance, scalability, and security, making it suitable for enterprise data warehouse environments. Data warehouse developers often leverage its tools and certifications to optimize data management and reporting tasks.

Is data warehouse a good career?

A career as a SQL Server Data Warehouse professional involves working with data integration, database design, and query optimization, often using tools like SQL Server, SSIS, and SSRS. It is a growing field with demand in industries that rely on large-scale data analysis and business intelligence. Developing skills in data modeling, ETL processes, and cloud platforms can enhance job prospects and career growth.
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Infographic showing various Sql Server Data Warehouse 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 $119,317 per year, or $57.4 per hour.

SQL Server Developer

Sacramento, CA • On-site

MDAEdge
Custom Software Development Services • 51 - 200 employees

Full-time

Re-posted 10 days ago


Job description

Job Summary:
MDAEdge is seeking a SQL Server Developer to join their team. The role involves designing ETL solutions and working with data integration projects, specifically utilizing the o9 platform for planning and analytics.
Responsibilities:
• 10-15 Year Experience with Strong SQL skills (T-SQL, PL/SQL).
• Proficiency in SSIS (SQL Server Integration Services).
• Familiarity with the o9 platform and its data model.
• Experience in designing ETL solutions for o9s planning and analytics use cases.
• Ability to work with o9s data requirements and technical specifications.
• Relevant years of experience in ETL development and database management.
• Experience with data integration projects and data warehousing.
• Experience with ETL tools and techniques.
• Knowledge of data warehousing concepts and data modeling.
• Experience with database design and performance tuning.(Optional)
• Experience with other ETL tools (e.g., Informatica, Talend).(Optional)
• Experience with scripting languages (e.g., Python, C#)
• Required o9 Experience atleast 1 Year
Qualifications:
Required:
• 10-15 Year Experience with Strong SQL skills (T-SQL, PL/SQL).
• Proficiency in SSIS (SQL Server Integration Services).
• Familiarity with the o9 platform and its data model.
• Experience in designing ETL solutions for o9s planning and analytics use cases.
• Ability to work with o9s data requirements and technical specifications.
• Relevant years of experience in ETL development and database management.
• Experience with data integration projects and data warehousing.
• Experience with ETL tools and techniques.
• Knowledge of data warehousing concepts and data modeling.
• Experience with scripting languages (e.g., Python, C#)
• Required o9 Experience atleast 1 Year
Preferred:
• Experience with database design and performance tuning.
• Experience with other ETL tools (e.g., Informatica, Talend).
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.