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Weekend Ai Data Engineer Jobs in Georgia (NOW HIRING)

GEI Consultants

Data Engineer

Atlanta, GA

$90K - $150K/yr

This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards. Essential ...

Honeywell

Lead Data Engineer

Atlanta, GA · On-site

As a Lead Data Engineer on our Industrial AI & Data Platforms team, you will architect and own the data foundations that enable physical AI at scale: from terabytes of IoT sensor telemetry streaming ...

Arcadia Talent Advisory LLC

Data Engineer-

Brookhaven, GA · On-site

$112K - $135K/yr

Database Engineer (Sandy Springs, GA) Seeking a Data Engineer to help build and launch a new Azure ... and AI/ML. You'll work across Azure and Microsoft Fabric (OneLake, Data Factory, Power BI ...

New

CYNET SYSTEMS

Data Engineer

Alpharetta, GA · On-site

$55/hr

* We are seeking a Senior Prompt Engineer AI Specialist Technical Analyst to support enterprise scale ... The ideal candidate must have data science and machine learning foundations with strong Python and ...

Lazer Logistics

Data Engineer

Alpharetta, GA · On-site

$129K/yr

Summary The Data Engineer is a member of the Data & AI team, accountable for building and maintaining scalable data pipelines, models, and semantic layers that power analytics, business intelligence ...

ProArch

Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Familiarity with MLOps and AI data pipelines leveraging cloud-native services such as AWS SageMaker, Glue ML, or Databricks for feature engineering and model deployment. * Advanced knowledge of data ...

Socket.dev

Data Engineer

Atlanta, GA · On-site

$120 - $180/hr

Familiarity with MLOps and AI data pipelines leveraging cloud-native services such as AWS SageMaker, Glue ML, or Databricks for feature engineering and model deployment. * Advanced knowledge of data ...

New

Guidehouse

Data Engineer

Atlanta, GA

$89K - $148K/yr

AI experience with prompt engineering, machine learning, agentic AI and RAG concepts * Build and optimize data architectures and models to support analytics, reporting, and operational needs.

Guidehouse

Data Engineer

Atlanta, GA · On-site

$89K - $148K/yr

AI experience with prompt engineering, machine learning, agentic AI and RAG concepts * Build and optimize data architectures and models to support analytics, reporting, and operational needs.

ProArch

Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Familiarity with MLOps and AI data pipelines leveraging cloud-native services such as AWS SageMaker, Glue ML, or Databricks for feature engineering and model deployment. * Advanced knowledge of data ...

ProArch

Data Engineer

Atlanta, GA · On-site

$120 - $180/hr

Familiarity with MLOps and AI data pipelines leveraging cloud-native services such as AWS SageMaker, Glue ML, or Databricks for feature engineering and model deployment. * Advanced knowledge of data ...

Dovel Technologies, Inc

Data Engineer

Atlanta, GA · On-site

$89 - $148/hr

AI experience with prompt engineering, machine learning, agentic AI and RAG concepts * Build and optimize data architectures and models to support analytics, reporting, and operational needs.

New

GEA Group

$93K - $112K/yr

The Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines ... Desirable knowledge of Machine Learning, AI, and Data Science concepts , with experience supporting ...

Deloitte

Data Engineer II

Atlanta, GA · On-site

$110K - $132K/yr

... Data - AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud ...

4pconsultinginc

Data Engineer IV

Atlanta, GA · On-site

$110K - $132K/yr

Data Engineer IV - Modern Enterprise / Lakehouse / AI-Assisted Location: 241 Ralph McGill Blvd, Atlanta GA, 30308 HYBRID Duration: 6 Months Client: Georgia Power Position Overview The Data Engineer ...

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All JobsAi Data Engineer JobsWeekend Ai Data Engineer JobsWeekend Ai Data Engineer Jobs in Georgia

Weekend Ai Data Engineer information

What is the difference between Weekend Ai Data Engineer vs Weekend Data Engineer?

AspectWeekend Ai Data EngineerWeekend Data Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; familiarity with AI/ML toolsBachelor's in CS, Data Science, or related field; basic data engineering skills
Work EnvironmentProjects involving AI/ML models, data pipelines for AI applicationsGeneral data processing, ETL tasks, data pipeline setup
Employer & Industry UsageTech companies, AI startups, research institutionsVarious industries including finance, healthcare, e-commerce
Common Search & ComparisonOften compared for specialization in AI data tasksBroader data engineering roles

The Weekend Ai Data Engineer focuses on building data pipelines and models specifically for AI and machine learning applications, requiring knowledge of AI tools. In contrast, the Weekend Data Engineer handles general data processing tasks across various industries. Both roles share similar educational backgrounds but differ in their focus and project types.

What are the most commonly searched types of Ai Data Engineer jobs in Georgia?

The most popular types of Ai Data Engineer jobs in Georgia are:

What are popular job titles related to Weekend Ai Data Engineer jobs in Georgia?

For Weekend Ai Data Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Weekend Ai Data Engineer jobs in Georgia look for?

The top searched job categories for Weekend Ai Data Engineer jobs in Georgia are:

What cities in Georgia are hiring for Weekend Ai Data Engineer jobs?

Cities in Georgia with the most Weekend Ai Data Engineer job openings:

Weekend Ai Data Engineer jobs near you
Infographic showing various Weekend Ai Data 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.

Data Engineer

GEI Consultants

Atlanta, GA

$90K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

284th of 451 rated engineering

Job description

Description

Your role at GEI. 
 
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.
 
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.
 
Essential Responsibilities & Duties 
  • Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
  • Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
  • Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
  • Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
  • Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.
  • Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.
  • Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
  • Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
  • Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams. 
Minimum Qualifications 
  • 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
  • Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
  • Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
  • Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
  • Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
  • Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
  • Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
  • Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
  • Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
  • Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
  • Prior experience in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. 
We are GEI. 
 
Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.  
 
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.  
 
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.
 
Employee-owned. Employee-focused.  
 
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more.  Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI’s career site here.
 
GEI’s Total Rewards Package Includes 
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $90,000.00 – $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here)
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More…
PHYSICAL REQUIREMENTS 
WORK ENVIRONMENT 
  
  
  
Functional Demands:    
 
 
 
 
Sedentary
x 
Light
 
Medium
Other
 
 
Activity Level Throughout Workday (check one per row) 
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
 
 
x 
 
Standing
 
x 
 
 
Walking
x 
 
 
 
Climbing
 
 
 

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