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Data Warehouse Engineer Jobs in Georgia (NOW HIRING)

Revinate

Data Warehouse Engineer

Atlanta, GA · On-site +1

$110K - $120K/yr

This individual will be able to handle adding and keeping sources concise and work with other engineers to build a robust and stable data warehouse * Active monitoring and alerting of the data and ...

The South Plains

Database Warehouse Developer

Atlanta, GA · On-site

$47.25 - $65/hr

Data Warehouse Developer Location: Atlanta, Georgia The Southeast Permanente Medical Group (TSPMG) is one of Georgia's largest independent, physician-owned, multi-specialty medical groups. More than ...

Scalence L.L.C.

Data Modeler Engineer

Atlanta, GA · On-site

$52.75 - $68.25/hr

... Data Warehouse schemas (Star & Snowflake) for analytics optimization. • Specialized in ... • Engineered scalable ER models (Conceptual, Logical, Physical) for enterprise-grade data ...

Scalence L.L.C.

Data Modeler Engineer

Atlanta, GA · On-site

$52.75 - $68.25/hr

... Warehouse schemas (Star & Snowflake) for analytics optimization • Specialized in Dimensional Modeling (Kimball) and Data Vault 2.0 architecture • Developed optimized Fact & Dimension tables to ...

Qualibar

Data Engineer

Gainesville, GA · On-site

$50 - $52/hr

Data Engineer Location: Gainesville, GA 30501 Duration: Full-Time Compensation: $85K - $90K per ... Design and maintain data warehouse structures , including fact and dimension tables using star ...

NR Consulting

Data Modeler Engineer

Atlanta, GA · On-site

$52.75 - $68.25/hr

NR Consulting is seeking a Data Modeler Engineer to design and implement enterprise-grade data ... Data Warehouse schemas (Star & Snowflake) for analytics optimization. • Specialized in ...

AgreeYa Solutions

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Title- Data Engineer Location- Atlanta, GA - Hybrid (3 days/week in the office) LOCALS ONLY Type ... Delta medallion layers, Databricks SQL Warehouses, Unity Catalog security, and data lineage. You ...

New

Qualibar

Data Engineer

Gainesville, GA · On-site

$106K - $128K/yr

Data Engineer Client: Mansfield Position: Fulltime or C2C Job Summary We are seeking an experienced ... Design, implement, and maintain enterprise data warehouse solutions using dimensional modeling ...

HUB

Master Data Management Engineer

Atlanta, GA · On-site

$110K - $132K/yr

HUB International is seeking a Master Data Management Engineer, on our Enterprise Data & Analytics ... Advanced experience with Azure data warehouse technologies including Azure Data Factory, Azure ...

Foxit

Data Engineer-Marketing Technology

Alpharetta, GA · On-site

$111K - $134K/yr

Data Engineer, Marketing Technology About Us: Foxit is remaking the way the world interacts with ... data warehouse (Databricks), licensing system, payment platform, and other source systems. Your ...

Cox Communications, Inc.

Lead Data Engineer

Atlanta, GA · On-site +1

$160K - $183K/yr

Engineer right-sized solutions for complex business problems focused on building patterns to support data pipelines, data warehousing, and data transformations. Apply knowledge of modern software ...

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Data Warehouse Engineer information

See Georgia salary details

$73K

$106.8K

$135.5K

How much do data warehouse engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data warehouse engineer in Georgia is $106,814.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $115,300.00 per year, depending on experience, location, and employer.

What is a data warehouse engineer?

Data Warehouse Engineers are IT professionals who design, build, and maintain systems used for storing and analyzing large volumes of data. They create data models, implement ETL (Extract, Transform, Load) processes, and ensure data integrity and optimized performance within the data warehouse environment. Their work enables organizations to efficiently store data from various sources and make it accessible for business intelligence and analytics. Data Warehouse Engineers often collaborate with data analysts, data scientists, and database administrators to support informed decision-making.

What is the difference between Data Warehouse Engineer vs Data Analyst?

AspectData Warehouse EngineerData Analyst
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Google CloudBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentDesigning, building, maintaining data warehouses; working with ETL toolsAnalyzing data, creating reports, visualizations
Industry UsageUsed in organizations managing large-scale data infrastructureUsed across industries for business insights and decision-making

While both roles work with data, Data Warehouse Engineers focus on building and maintaining data storage systems, whereas Data Analysts interpret data to generate insights. They often collaborate but have distinct technical and functional responsibilities.

What are some common challenges data warehouse engineers face when integrating data from multiple sources?

Data Warehouse Engineers often encounter challenges such as data inconsistency, varying data formats, and incomplete or duplicate records when integrating information from diverse systems. Addressing these issues requires careful planning, robust ETL (Extract, Transform, Load) processes, and close collaboration with source system owners and data analysts. Additionally, ensuring data quality and maintaining up-to-date documentation are crucial to support efficient troubleshooting and future scalability.

What are the key skills and qualifications needed to thrive as a data warehouse engineer?

To thrive as a Data Warehouse Engineer, you need expertise in database design, ETL processes, SQL, and data modeling, typically supported by a degree in computer science or a related field. Familiarity with tools like Microsoft SQL Server, Oracle, Informatica, and cloud platforms such as AWS Redshift or Google BigQuery, as well as certifications in these technologies, are valuable. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with stakeholders and address data challenges efficiently. These skills ensure the reliable integration, storage, and retrieval of high-quality data, which is critical for business intelligence and decision-making.
What are the most commonly searched types of Data Warehouse Engineer jobs in Georgia? The most popular types of Data Warehouse Engineer jobs in Georgia are:
What are popular job titles related to Data Warehouse Engineer jobs in Georgia? For Data Warehouse Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Data Warehouse Engineer jobs in Georgia look for? The top searched job categories for Data Warehouse Engineer jobs in Georgia are:
What cities in Georgia are hiring for Data Warehouse Engineer jobs? Cities in Georgia with the most Data Warehouse Engineer job openings:
What are popular job titles related to Data Warehouse Engineer jobs in GA? For Data Warehouse Engineer jobs in GA, the most frequently searched job titles are:
Data Warehouse Engineer jobs near you
Infographic showing various Data Warehouse Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $106,814 per year, or $51.4 per hour.

Data Warehouse Engineer

Revinate

Atlanta, GA • On-site, Remote

$110K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Three Outcomes For Year One
  • Help transition and stabilize the new data architecture
  • This individual will be able to handle adding and keeping sources concise and work with other engineers to build a robust and stable data warehouse 
  • Active monitoring and alerting of the data and its sources
 
What You'll Do

  • Define and align on critical business metrics by collaborating closely with department leaders.

  • Analyze and master data structures across various source systems, including Salesforce, NetSuite, and internal databases.

  • Leverage ETL and streaming technologies, such as Apache Airflow and Kafka Connect, to facilitate seamless data transfers.

  • Build and maintain a data warehouse (e.g., BigQuery).

  • Use business intelligence tools (e.g., Looker) to establish data models and create.

What You'll Bring
  • Bachelors degree in relevant field 
  • At least three years of relevant experience working with data warehouses and business intelligence platforms
  • Meaningful experience with the following technologies:
    • Python (or a similar language)
    • Apache Airflow
    • Google BigQuery
    • SQL
  • Experience in Cloud Data Warehouses 
  • Familiarity with Data ecosystems
People Describe You As

  • Relentlessly driven for improvement, actively seeking new knowledge, and always ready to embrace and conquer complex challenges.

Benefits
  • Competitive Health Benefits: Revinate offers multiple insurance options, including an employee premium paid 100% by Revinate
  • Paid Family & Parental Leave: A comprehensive paid leave program, ensuring you have the time you need.
  • Family Building Benefits: Revinate offers multiple medical plans, including a buy-up option with $20,000 of coverage for medically necessary fertility treatments.
  • Excellent Dental and Vision Benefits
  • 401(k) Program: Includes an employer match
  • Optional plans for Short & Long Term Disability insurance, as well as Life insurance
  • Paid Flex time off
  • Employee Assistance Program (EAP)
  • Perks: Monthly work from home stipend, Telehealth access, Peloton benefits and many more.
$110,000 - $120,000 a year
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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