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Weekend Ai Data Engineer Jobs in Georgia (NOW HIRING)

CYNET SYSTEMS

Data Engineer

Alpharetta, GA

$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 ...

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 ...

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 ...

Mindlance

Data Engineer 4

Atlanta, GA · On-site

$110K - $132K/yr

The role involves building and optimizing data pipelines, supporting analytics, and leveraging AI tools to enhance data engineering tasks. Responsibilities : • Building, operating, and optimizing ...

Booz Allen Hamilton, Inc.

Data Engineer

Atlanta, GA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology such as IoT, machine learning, and ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Inspire Brands, Inc.

Lead Data Engineer

Sandy Springs, GA · On-site

$110K - $132K/yr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design, build and manage data pipelines (Data ingestion, data transformation, data distribution, quality ...

Booz Allen Hamilton

Data Engineer

Atlanta, GA

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology such as IoT, machine learning, and ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Inspire Brands

Lead Data Engineer

Atlanta, GA

$110K - $132K/yr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design, build and manage data pipelines (Data ingestion, data transformation, data distribution, quality ...

Inspire Brands

Lead Data Engineer

Atlanta, GA

$110K - $132K/yr

Inspire Brands is hiring a Lead Data and AI Engineer for the Enterprise Data Organization to design, build and manage data pipelines (Data ingestion, data transformation, data distribution, quality ...

XTG

Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

Exposure to or interest in AI-assisted development, automation, metadata-driven frameworks, or agentic AI tooling. * Microsoft certifications related to Fabric, Azure Data Engineering, Power BI, or ...

Booz Allen Hamilton

Data Engineer

Atlanta, GA · On-site

$77K - $176K/yr

R0242432 Data Engineer The Opportunity: Ever-expanding technology such as IoT, machine learning ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Honeywell

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

KEY RESPONSIBILITIES Data Engineering & AI Pipeline Development: * Design and implement scalable data architectures to process high-volume IoT sensor data and telemetry streams, ensuring reliable ...

Honeywell

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

KEY RESPONSIBILITIES Data Engineering & AI Pipeline Development: * Design and implement scalable data architectures to process high-volume IoT sensor data and telemetry streams, ensuring reliable ...

Booz Allen Hamilton, Inc.

Data Engineer

Atlanta, GA · On-site

$77K - $176K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

TEKsystems

Data Engineer

Atlanta, GA

$75/hr

The ideal candidate combines strong data engineering fundamentals with hands-on experience in modern AI development workflows, including integration into business processes. Key Responsibilities ...

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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 II - QuantumBlack, AI by McKinsey

McKinsey & Company

Atlanta, GA • On-site

$110K - $132K/yr

Full-time

Re-posted 28 days ago

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

20th of 72 rated business consultants

Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.
YOUR IMPACT
You will build the foundational data infrastructure that powers cutting-edge AI applications leveraging LLMs, retrieval systems, workflows, and emerging agentic architectures.
You will design and maintain scalable data pipelines, manage secure data environments, and prepare data for AI-driven systems while collaborating with cross-functional teams and clients. You'll tackle real-world challenges by contributing to the development of next-generation AI systems and grow as a technologist by working alongside diverse experts across industries.
You will design and build the scalable, reproducible data components essential for machine learning, agentic, and autonomous AI systems. You'll assess data landscapes, apply data quality fundamentals, and prepare data for AI solutions. Additionally, you'll learn to translate simple hypotheses into engineered features, manage secure data environments, and contribute to R&D initiatives focused on innovating and scaling next-generation AI capabilities.
Your work will help solve some of the most complex and high-impact challenges facing clients across industries. Collaborating across QuantumBlack, AI by McKinsey and QuantumBlack Labs teams, you'll help develop innovative AI capabilities and scalable enterprise solutions. You'll help build robust data foundations for scalable, production-ready AI systems. Your contributions will directly support the firm's ability to accelerate AI adoption, solve complex business problems at scale, and enable clients to achieve meaningful, lasting impact.
You'll be based in one of our North American offices as part of our global Data Engineering community. Working in cross-functional Agile teams, you'll collaborate closely with Data Scientists, Machine Learning Engineers, and industry experts to deliver AI solutions. By partnering with clients-from data owners to C-level executives-you'll help solve complex problems that drive tangible business value and begin to build your skills as a client-facing technologist.
You will grow at the forefront of AI, data engineering, and emerging agentic technologies. You'll develop expertise at the intersection of technology and business by tackling diverse challenges in the evolving AI landscape. Working alongside multidisciplinary teams, you'll gain a holistic understanding of how data engineering enables advanced AI while collaborating with leading AI and data experts in the industry.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS
  • Degree in Computer Science/Engineering, or equivalent experience
  • 2+ years of relevant professional experience building and deploying data solutions
  • Strong proficiency in Python and SQL for data engineering and experience writing robust, production-grade code, including deploying code across environments
  • Proven experience building end-to-end data pipelines and platforms for Agentic AI, Generative AI, Machine Learning, or Business Intelligence, covering data preparation, embeddings generation, vector search, and system integration using modern frameworks (Spark, dbt, LangChain)
  • A strong foundation in system design, data storage, and reliability with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.) and data engineering tools (e.g., Pandas, Spark, dbt, etc.)
  • Hands-on experience with MLOps/LLMOps principles, including CI/CD for data workflows, automated agent evaluation (LangSmith, Opik, Langfuse), and infrastructure as code (Terraform)
  • Experience building systems with different data formats (structured vs unstructured) and data processing methods (streaming vs batch) and deploying across major cloud platforms (AWS, Azure, GCP)
  • Exceptional time management in a complex and largely autonomous work environment
  • Commercial client-facing or senior stakeholder management experience is beneficial
  • Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus
  • Strong communication skills, both verbal and written, in English and local office language(s)

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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