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Data Warehouse Engineer Jobs in Georgia (NOW HIRING)

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Hands-on experience on Azure Platform including Data Factory, Synapse, Data Lake Gen2, CICD, DevOps. * Strong exp in SQL Server DB, SQL Server Data Warehouse. * Collaborate with project stakeholders ...

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... Sr. Data Engineers to the team. These roles will partner with a fast-paced team to design and ... Analyze brand and enterprise data warehouse and reporting requirements to inform data architecture ...

Data Engineer

Atlanta, GA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... You Have: * 3+ years of experience in Data Warehouse development * 3+ years of experience with data ...

You Are Seeking someone who can leverage a deep technical understanding of data engineering, data warehousing, and data architecture while leading and motivating an on-call team of engineers in a ...

Data Engineer

Atlanta, GA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... You Have: * 3+ years of experience in Data Warehouse development * 3+ years of experience with data ...

Azure Data Engineer

Atlanta, GA

$110K - $132K/yr

The ideal candidate will have strong experience with Azure data services, ETL development, data warehousing, and data integration. Required Skills: * 6+ years of Data Engineering experience * Azure ...

Works with application developers, business partners, management and Data Warehouse team. Extends ... Designs data warehouse or data mart fact tables, aggregate tables, and dimensions. Delivers quality ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer (Databricks / Snowflake / Azure) LOOKING ONLY ON W2 Overview We are looking for a ... You will build scalable ETL/ELT pipelines and manage cloud data warehousing solutions.

Data Engineer

Atlanta, GA · On-site

$77K - $176K/yr

R0243232 Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... You Have: * 3+ years of experience in Data Warehouse develop ment * 3+ years of experience with ...

Principal Data Engineer

Alpharetta, GA · On-site

$107K - $129K/yr

... and Data Warehouse projects. Write, optimize, and automate complex SQL queries, T-SQL stored ... Mentor junior engineers on testing strategies, SQL best practices, and BI tool utilization.

Database Architect 1

Atlanta, GA · On-site

$61.25 - $78.75/hr

... Data warehouses and Data Marts). Deep understanding of relational database design concepts and SQL programming Experience guiding/mentoring developers with lesser experience. Requires strong ...

Database Architect 1

Atlanta, GA · On-site

$61.25 - $78.75/hr

... Data warehouses and Data Marts). Deep understanding of relational database design concepts and SQL programming Experience guiding/mentoring developers with lesser experience. Requires strong ...

Showing results 41-60

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 Sep 5, 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 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 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 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 does a data warehouse engineer do?

A data warehouse engineer designs, develops, and maintains data storage systems that aggregate and organize large volumes of data from various sources. They use tools like SQL, ETL processes, and data modeling to ensure data is accessible, accurate, and optimized for analysis. Their work supports business intelligence and decision-making processes.

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:

Infographic showing various Data Warehouse Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 11% Part Time, 7% Contract, and 3% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $106,814 per year, or $51.4 per hour.

Big Data Architect - Software Developer / Engineer

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 5 days ago


Job description

Overview:
Job Description
We hire the best employees to serve our customers. We are looking for an experienced Software Developers and Engineers who has a passion for building software solutions, asking questions to solve customer problems and is comfortable working in a product environment.
Office Location:
  • Alpharetta, GA
  • Full Time
  • F2F required & 100% Onsite from Day 1

This is a great opportunity to onboard on an emerging team to build software solutions that makes a direct impact to positive claims customer experience. You will be entering a high performance environment that inspires you to develop, guide, mentor and build solutions. The diversity of experience you will gain is dependent on your curiosity, your excitement to peek into the current state and express the future, challenge leadership with idea generation to continually refine the skills.
We Are Looking For Candidates With,
Technical Skills/Experience
  • Technical leadership in Information and Data Architecture, working with Enterprise Data Architects leveraging the TOGAF architecture methodology with oversight of Domain Modeling, Logical Data Modeling and Physical Data Model implementation.
    • Apply modern data management toolsets and coding methods to design, build, implement, and optimize data solutions of all types - including data warehouses, data lakes, ODS, streaming data, analytic and BI/visualizations, etc.
    • Translate business issues and needs into Data and System requirements and Architect the management of data assets and their flow through the enterprise
    • Architect and Design Data Services (DaaS) for data consumption and manipulation throughout the Data Ecosystem applying the "contract first" design principle and including use of API, Microservices, Microbatch, ELT Pipeline and other methods.
    • Transform legacy data structures and processes to modern, capable, and secure solutions in a hybrid cloud setup
    • Apply Data Engineering & Design best practices to architect solutions, using a deep understanding of various data formats and database design approaches
    • Architect Data Storage solutions for OLTP (CRM, etc.) Systems, Analytics Platforms, Data Lake, Data Warehouse with Relational Database and Object Storage methods tailored for best fit for the needs.
    • Architect best-practice data ingestion framework for batch and real-time data flows, develop tooling for increasing scale, accuracy and automation in data pipeline, to integrate with decisioning, AI/NLP and consuming systems
    • Architect Data Catalogue and Metadata Management
    • Architect and Model for Master Data Management.
    • Architect for various Analytics Method including Descriptive, Diagnostic, Predictive, Prescriptive and Capabilities including Realtime Analytics, Advanced Analytics, Machine Learning (ML/AI/NLP)
    • Work with Enterprise Architects and Information Security Architects to design highly secure data platform ecosystem by designing controls and protection strategies
    • Enable application performance and modernization by creating appropriate data capabilities to match.
    • Determine best-in-breed Tools and Technologies, leveraging CNCF-backed Open Source, Managed Solutions and Engineered solutions where applicable.
    Requirements
    • Should be more having experience working with Architecture of transactional systems in addition to modern data analytics platforms - NoSQL, Event Sourcing, Domain Driven Design, Data Services, Spark and Hadoop-like open source platforms, etc and not traditional Data warehouse with SQL and Oracle.
    • 5+ years of experience in data analysis, engineering, architecture and operations roles, including experience with transformational efforts
    • Strong Database skills, with RDBMS (E.g., Oracle, SQL) as well as modern relational and unstructured data sources (like NoSQL), including cloud services (AWS/GCP/Azure). Hands on experience using tools is strongly preferred
    • Experience with Tools (or similar) such as Hadoop Stack, Airflow, Kafka, NiFi, PostgreSQL, Oracle, SQL Server, ElasticSearch (ELK), JSON, Parquet, Avro and other Data Storage formats, Tableau, Superset and other Visualization Tools, Apache Atlas, and other Data-centric Apache Packages
    • Extensive Knowledge of Design Patterns for Software and Data Engineering.
    • Experience Coding with Java, Javascript (Nodejs), Python, GO, Rust and similar.
    • Experience in on-prem and hybrid cloud infrastructure, including service and cost optimization
    • Experience with production and analytics data, batch and real time / streaming, etc.
    • Experience in regulated industries preferred (such as financial services, insurance, healthcare, etc.)
    • Familiarity with optimization tools and techniques, including Bayesian modelling and variety of machine learning techniques
    • Ability to manage large programs and projects will be essential

Attributes
  • Passionate, intelligent, critical thinker, problem solver, highly persuasive
  • Proactive communicator, documents clearly and succinctly
  • Detail-oriented, thoughtful, respectful - a team player

Required experience
  • Bachelor's degree in STEM (Science, Technology, Engineering)
  • Master's degree in STEM (Science, Technology, Engineering) preferred

Experience and Skills That Are Nice to Have
  • Scrum/Agile methodology working group experience
  • Experience with distributed computing, from design, implementation and supporting in production
  • Experience with Device-as-a-service systems
  • Experience with relational (SQL) and non-relational (NoSQL) database technologies
  • Experience with software engineering best practices, design patterns and anti-patterns
  • Experience in working on end to end CI/CD pipeline

What You Can Expect
  • Next Steps: Competitive candidates may be invited to participate in the interview process. This is where the excitement begins!
  • Applicants are required to be eligible to lawfully work in the U.S. immediately; Preferably U.S Citizens and GC Holders.

What's In It for you?
  • Competitive Benefits, Pay and Bonus Potential, Group Health Insurance, Vision and Dental Insurance. Paid Vacation.

About R2 Technologies
R2 Technologies Corporation (R2) a Georgia Corporation with headquarters in Alpharetta GA, is a technology company in the space of Big Data, Oracle E-business Suite, DevOps & Managed Services, Mobile Application Development, HRMS, productivity platforms, which enables the end clients to deliver business value to their stakeholders. Platform based solutions provides an opportunity for quick turnaround of solutions. Google cloud, AWS and frameworks are part of our key solutions. We have been serving US industry since inception of the business, R2 is one of the fastest growing companies specializing in product development and staffing for leading local, regional and national clients consisting of small, midsize and fortune 1000 companies.
Skills:
Database,TOGAF,SQL