AI Data Engineer Jobs in Atlanta, GA
AI Data Engineer jobs in Atlanta are concentrated in Midtown, Buckhead, and the Westside tech corridor, driven by demand in financial services, healthcare IT, and enterprise software. Employers hiring right now include The Home Depot, Deloitte, and McKinsey & Company. Find a role that fits below and apply directly.
Find AI Data Engineer JobsOverview
Showing 5 of 116+ AI Data Engineer jobs
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Work you'll do
As a Lead Data Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of data engineering solutions for client engagements.
- Lead small engagements or key workstreams within large, complex data and analytics transformations for Financial Services - Insurance clients
- Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms
- Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives
- Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams
- Support practice growth through proposal development, thought leadership, and coaching junior practitioners
The team
Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
Qualifications
Required:
- 8+ years experience with relevant technology project experience to include: enterprise-scale technical experience with cloud and hybrid infrastructures for data and analytics, architecture designs, migrations, and technology management
- 8+ years of techno-functional experience with Financial Services - Insurance Industry to include Commercial Insurance domain experience across claims, payments, policy support, reporting, and document processing
- 4+ years experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Service (AWS) and/or Google Cloud Platform (GCP)
- 3+ years experience leading, managing and delivering complex technology engagements end-to-end with resources in multiple locations
- Bachelor's degree
- Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred:
- Experience in consulting and client-facing delivery roles
- Experience in creating critical collaterals for client workshops and customer interactive sessions
- Experience presenting technical content to both large and small audiences
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Work you'll do
As a Lead Data Engineer II on the AI & Data team, you will be responsible for leading the design and delivery of data engineering solutions for client engagements.
- Lead small engagements or key workstreams within large, complex data and analytics transformations for Financial Services - Insurance clients
- Design and implement cloud and hybrid data architectures, migration approaches, and technology solutions across data and analytics platforms
- Manage day-to-day stakeholder relationships and align technical delivery to business and program objectives
- Oversee quality of team deliverables and recommendations while contributing to hands-on solution delivery across distributed teams
- Support practice growth through proposal development, thought leadership, and coaching junior practitioners
The team
Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
Qualifications
Required:
- 8+ years experience with relevant technology project experience to include: enterprise-scale technical experience with cloud and hybrid infrastructures for data and analytics, architecture designs, migrations, and technology management
- 8+ years of techno-functional experience with Financial Services - Insurance Industry to include Commercial Insurance domain experience across claims, payments, policy support, reporting, and document processing
- 4+ years experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Service (AWS) and/or Google Cloud Platform (GCP)
- 3+ years experience leading, managing and delivering complex technology engagements end-to-end with resources in multiple locations
- Bachelor's degree
- Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred:
- Experience in consulting and client-facing delivery roles
- Experience in creating critical collaterals for client workshops and customer interactive sessions
- Experience presenting technical content to both large and small audiences
See All 116+ AI Data Engineer Jobs in Atlanta
Find roles in Atlanta that match your experience and apply in just a few clicks.
Find AI Data Engineer JobsAI Data Engineer Job Market in Atlanta
Who's Hiring
- The Home Depot26
- Deloitte10
- McKinsey & Company8
- AIG7
- Capgemini5
Top Industries Hiring
- Retail26
- Consulting & Professional Services22
- Technology & Software20
- Insurance12
- Accounting & Auditing12
AI Data Engineer Jobs in Atlanta: Frequently Asked Questions
How do I get a ai data engineer job in Atlanta?
Focus your search on Atlanta's strongest hiring sectors: financial services firms clustered in Buckhead, health tech companies anchored around Midtown and the Medical Center corridor, and enterprise software employers in the Westside. Candidates who demonstrate hands-on experience with cloud data platforms, ML pipeline development, and real-time data systems stand out. Engaging with Atlanta Tech Village events and local data engineering meetups can also give you a direct line to hiring managers.
Which companies hire ai data engineers in Atlanta?
Companies currently hiring ai data engineers in Atlanta include The Home Depot, Deloitte, and McKinsey & Company, per current listings on Migrate Mate as of June 2026. Atlanta's mix of Fortune 500 headquarters, regional financial institutions, and a growing health IT sector means demand comes from both large enterprises and well-funded mid-size tech firms.
Are there remote ai data engineer jobs in Atlanta?
Yes, ai data engineer work is well-suited to remote and hybrid arrangements given its fundamentally desk-based, cloud-centric nature. About 25% of ai data engineer openings tied to Atlanta are remote or hybrid as of June 2026, reflecting broad employer flexibility across the metro. Model development, data pipeline work, and analytics engineering tend to be the most remote-eligible components within Atlanta postings.
How can I get a ai data engineer job in Atlanta with little or no experience?
The most realistic entry path in Atlanta is targeting data analyst or junior data engineer roles at mid-size health tech or fintech companies, which hire earlier-career candidates and promote into AI-focused work. Building a portfolio using public datasets and cloud tools like AWS or GCP resonates with Atlanta employers. Georgia Tech's continuing education programs and the Atlanta Data Science community are practical local resources for building credentials and connections.
Which industries hire the most ai data engineers in Atlanta?
Atlanta ai data engineer roles concentrate in Retail, Consulting & Professional Services, and Technology & Software, based on current listings on Migrate Mate as of June 2026. Atlanta's status as a payments and fintech hub, combined with its large hospital systems and a maturing enterprise SaaS ecosystem, makes those sectors the primary drivers of local ai data engineering demand.
Related Jobs in Georgia
See All 116+ AI Data Engineer Jobs in Atlanta
Find roles in Atlanta that match your experience and apply in just a few clicks.
Find AI Data Engineer Jobs