1

Data Warehousing Manager Jobs (NOW HIRING)

Expertise in data quality management * Experience with data pipeline orchestration * Strong understanding of data warehousing concepts * Skill in performance tuning of data systems DESIRED SKILLS

Expertise in data quality management * Experience with data pipeline orchestration * Strong understanding of data warehousing concepts * Skill in performance tuning of data systems DESIRED SKILLS

Expertise in data quality management * Experience with data pipeline orchestration * Strong understanding of data warehousing concepts * Skill in performance tuning of data systems DESIRED SKILLS

Expertise in data quality management * Experience with data pipeline orchestration * Strong understanding of data warehousing concepts * Skill in performance tuning of data systems DESIRED SKILLS

Expertise in data quality management * Experience with data pipeline orchestration * Strong understanding of data warehousing concepts * Skill in performance tuning of data systems DESIRED SKILLS

Expertise in data quality management * Experience with data pipeline orchestration * Strong understanding of data warehousing concepts * Skill in performance tuning of data systems DESIRED SKILLS

Expertise in data quality management * Experience with data pipeline orchestration * Strong understanding of data warehousing concepts * Skill in performance tuning of data systems DESIRED SKILLS

Expertise in data quality management * Experience with data pipeline orchestration * Strong understanding of data warehousing concepts * Skill in performance tuning of data systems DESIRED SKILLS

We're looking for an early-career Data Warehouse Engineer with strong fundamentals and high growth ... Learn and apply Master Data Management (MDM) patterns (golden records, reference data, deduping ...

Build and maintain a data warehouse (e.g., BigQuery). * Use business intelligence tools (e.g ... Hiring Manager Interview - 45 min * Technical Interview with Team Members - 60min * Final Interview ...

Expertise in data quality management * Experience with data pipeline orchestration * Strong understanding of data warehousing concepts * Skill in performance tuning of data systems DESIRED SKILLS

Expertise in data quality management * Experience with data pipeline orchestration * Strong understanding of data warehousing concepts * Skill in performance tuning of data systems DESIRED SKILLS

Expertise in data quality management * Experience with data pipeline orchestration * Strong understanding of data warehousing concepts * Skill in performance tuning of data systems DESIRED SKILLS

next page

Showing results 1-20

Data Warehousing Manager information

See salary details

$69K

$72.5K

$75K

How much do data warehousing manager jobs pay per year?

As of May 31, 2026, the average yearly pay for data warehousing manager in the United States is $72,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,000.00 and $74,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Warehousing Manager, and why are they important?

To thrive as a Data Warehousing Manager, you need expertise in database management, ETL processes, data modeling, and a relevant degree in computer science or information systems. Familiarity with data warehousing platforms like Amazon Redshift, Snowflake, or Microsoft SQL Server, as well as proficiency in tools such as Informatica and SQL, is typically required. Strong leadership, project management, and communication skills help in coordinating teams and aligning data strategies with business goals. These skills ensure optimal data storage, accessibility, and integrity, which are crucial for informed decision-making and organizational success.

What are some common challenges faced by Data Warehousing Managers when working with cross-functional teams?

Data Warehousing Managers often collaborate with IT, business analysts, and data scientists to ensure that warehouse solutions meet organizational needs. One common challenge is aligning data requirements across departments, as different teams may have conflicting priorities or use inconsistent data definitions. Effective communication and strong project management skills are crucial to bridging these gaps and delivering solutions that are both technically sound and aligned with business goals. Additionally, managing expectations around data quality, integration timelines, and system performance can be demanding, but proactive stakeholder engagement and clear documentation can help mitigate these issues.

What are Data Warehousing Managers?

Data Warehousing Managers are professionals responsible for overseeing the design, implementation, and maintenance of data warehouse systems within an organization. They lead teams that collect, store, and manage large volumes of data from various sources to support business analytics, reporting, and decision-making. Their role often includes ensuring data integrity, optimizing system performance, and coordinating with stakeholders to meet business requirements. Data Warehousing Managers also stay updated on new technologies and best practices to enhance data management processes.

What is the difference between Data Warehousing Manager vs Data Analyst?

AspectData Warehousing ManagerData Analyst
Required CredentialsBachelor's in Computer Science, Data Management, or related field; often certifications in data warehousing or database managementBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools (e.g., Excel, SQL, Tableau)
Work EnvironmentOversees data warehouse teams, manages infrastructure, and ensures data integrity in enterprise settingsAnalyzes data sets, creates reports, and provides insights primarily using analytical tools
Employer & Industry UsageUsed in large corporations, finance, healthcare, and retail for managing large-scale data systemsCommon across industries for business intelligence, marketing, and operations analysis

The Data Warehousing Manager focuses on overseeing data storage systems, infrastructure, and team management, ensuring data is accessible and reliable. In contrast, the Data Analyst primarily interprets data, creates reports, and provides insights to support decision-making. Both roles require strong technical skills but differ in scope and responsibilities.

What cities are hiring for Data Warehousing Manager jobs? Cities with the most Data Warehousing Manager job openings:
What are the most commonly searched types of Data Warehousing jobs? The most popular types of Data Warehousing jobs are:
What states have the most Data Warehousing Manager jobs? States with the most job openings for Data Warehousing Manager jobs include:
Infographic showing various Data Warehousing Manager job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Temporary. Highlights an 97% Physical, and 3% Hybrid job distribution, with an average salary of $72,499 per year, or $34.9 per hour.
Data Warehouse Engineer

Other

Posted yesterday


Job description

Position Information
Job Title Data Warehouse Engineer Job Description
GENERAL STATEMENT OF FUNCTION:
The Data Warehouse Engineer is responsible for extracting, transforming, and data processing by developing/managing the corresponding database tables. The individual must be proficient in database engineering and have expertise in SQL/PL-SQL. The individual maintains and writes PL-SQL procedures and functions and ensures the warehoused tables update via a Cron schedule on the Linux-based server. Data from the warehoused tables are used in internal, state and federal reports. The position requires a high amount of independent technical work and ongoing communication with the Executive Vice President of Technology & Research.
Job Duties
SPECIFIC DUTIES & RESPONSIBILITIES
Engineering Tables in the Data Warehouse:
1. Creates the database tables used to store the extracted and transformed data which are subsequently used as drivers of reports and dashboards. These tables are updated on a cron schedule on the Linux server using SQL and shell scripts to automate the process. As needs arise for new fields to be added to the tables, the Data Warehouse Engineer will code these fields, update all prior records to include the new data, and ensure the fields are populated automatically going forward.
2. Responsible for the organizational framework that standardize the process of data collection, storage, transformation, distribution, and usage.
3. Builds massive reservoirs for data and develop, construct, test, and maintain architectures and data processing systems.
Extracting Data:
4. Writes SQL queries and PL-SQL procedures and functions to extract data from multiple sources, including the Oracle database-based Banner student information system and excel spreadsheets. Extraction from survey data spreadsheets and subsequent data transformation and loading utilizes scripting in R which are written and maintained by the Data Warehouse Engineer. Custom projects based on extracted data and extracting data to the planning system in Oracle Application Express are also the responsibility of the Data Warehouse Engineer.
Maintaining Tables in the Data Warehouse:
5. Responsible for ensuring the data are updated and troubleshooting any technical issues that may arise in the data warehouse tables. Monitor the system performance by performing regular tests and integrating new features.
Verification & Validation of Data Elements:
6. Assembles data from multiple sources, cleans and analyzes complex datasets in areas, including but not limited to: internal data requests, survey research, ad hoc research projects, assessments and evaluation, program/institutional accreditation, and state/federal reporting. Interprets the data with accuracy and presents key findings to internal and external stakeholders in a clear and concise manner.
Consultation:
7. Designs and coordinates various ad hoc research projects based off of institutional need, facilitates the administration of assessments, and creates comprehensive evaluation plans.
General Responsibilities
8. Responsible for analyzing and reporting data to meet state, federal and accreditation deadlines.
9. Ensures that all reports and generated output are delivered with accuracy and by the established deadline.
10. Provides ongoing training, support and educational opportunities to our employees on IR related topics and promotes a culture of assessment at the institution. Prepares and presents employee development
educational sessions based off employee needs and the individual's area of expertise.
11. Works cooperatively and effectively with other college staff members, faculty and administration. Practices excellent customer service in their daily interaction with stakeholders.
12. Ability to work within strict deadlines. Able to work effectively in a high-pressure environment.
13. Assumes responsibility for special assignments initiated by the administration or our stakeholders.
14. High-level productive programmer who has a passion for designing and maintaining a data warehouse.
15. Works well with individuals from diverse backgrounds and personalities.
16. Adheres to all policies, procedures, and laws governing the employees of the institution.
17. Perform other duties as assigned by the Executive Vice President of Technology & Research.
Mandatory Qualifications
MANDATORY: (M1) Master's degree in Computer Engineering, Computer Science, Computer Programming, or a related field requiring database architecture (M2) Relevant coursework or significant work experience developing a database and proficiency in Oracle required. (M3) Demonstrated experience or have the experience to build reservoirs of data. (M4) Excellent oral and written communication skills; demonstrates the ability to communicate complex findings in a concise manner. (M5) Excellent time management and organizational skills.
Desirable Qualifications
DESIRABLE: (D1) A Ph.D. or significant progress towards a terminal degree, in Computer Engineering, Computer Science, Computer Programming, or a closely related field requiring database architecture or data analysis from a regionally accredited institution of higher education. (D2) Strong background and technical skills working with Ellucian Banner, FTP, SSH, Linux, Crontab, Shell Scripting, SQL, PL-SQL, R, Oracle Application Express (APEX), Windows Batch Scripting
EEO Statement
Mississippi Gulf Coast Community College is an Equal Opportunity Employer and welcomes students and employees without regard to race, color, religion, national origin, sex, pregnancy, age, or qualified disability in its programs and activities. For further information, contact the Compliance Officer P.O. Box 609, Perkinston, Mississippi, 39573, telephone number 601-528-8735, email address compliance@mgccc.edu.
The College:
The Mississippi Gulf Coast Community College District serves a four-county area with three major campuses, the Community Campus and four centers including: Perkinston Campus, Perkinston, MS; Harrison County Campus, Gulfport, MS; Jackson County Campus, Gautier, MS. Additionally, Mississippi Gulf Coast Advanced Manufacturing and Technology Center, Gulfport, MS; Keesler Center, Biloxi, MS; West Harrison Center, Long Beach, MS; and George County Center, Lucedale, MS.
State and regional associations accredit Mississippi Gulf Coast Community College, and several programs are accredited nationally. Offerings include academic, technical degree, vocational skill and adult continuing education programs.
Classification Administration
Posting Detail Information
Open Date 06/20/2022 Close Date Open Until Filled Yes Special Instructions to Applicants For more information on the position, please contact (Name, Address, Phone, and Email):
Adam Swanson
Executive Vice President, Technology & Research
10298 Express Drive. Gulfport 39503
228-897-4377
adam.swanson@mgccc.edu