2

Remote Ai Data Engineer Jobs in Atlanta, GA (NOW HIRING)

Remote Data QA

Atlanta, GA · Remote

$93K - $162K/yr

Senior QA Data Engineer Experience: 5-7 years Team: QA Data Engineering Team Role Summary The ... Exposure to AI workflows or AI-assisted automation for test case generation or data validation.

Data Engineer (Azure)

Atlanta, GA · Remote

$117K - $140K/yr

Exposure to AI (Azure OpenAI, Claude, Cursor) * Experience collaborating with distributed or ... Remote opportunities are available to candidates who reside in the following states: AL, AZ, CT, FL ...

Data Engineer (Azure)

Atlanta, GA · On-site +1

$110K - $132K/yr

Exposure to AI (Azure OpenAI, Claude, Cursor) * Experience collaborating with distributed or ... Remote opportunities are available to candidates who reside in the following states: AL, AZ, CT, FL ...

... AI-driven automation and cloud solutions. This is your chance to thrive in a "Customer Success ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

... AI-driven automation and cloud solutions. This is your chance to thrive in a "Customer Success ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Solution Architect - AI & Data

Atlanta, GA · On-site +1

$60.50 - $79.75/hr

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer ... Work personas (flexible, remote, or required in office) are categories that are assigned to ...

Lead Data Engineer

Alpharetta, GA · On-site +1

$100K - $131K/yr

Role: Lead Data Engineer with Vertex AI Location: Alpharetta, GA Mode of work: 5Days Onsite Looking for 12+years profiles only Visa: USC & GC only (It's a W2 Role) Core Responsibilities: We are ...

Data Quality Engineer

Alpharetta, GA · Remote

$111K - $134K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... AI-Enabled Test Development and Automation Leverage AI-assisted development tools and intelligent ...

AWS Data Engineer

Atlanta, GA · Remote

$112K - $134K/yr

Perform data cleansing, data validation etc \n \n \n 3. Hands on ETL developer who is good at ... Toronto ON, Atlanta GA and Remote.\n \n \n \n \n \n

AI Engineer - Remote

Atlanta, GA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Annotate data, interpret findings, and perform fact-checking to ensure high-quality content ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical & Report Writing

AI/ML Engineer - Remote

Atlanta, GA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

Data Engineer (Fully Remote)

Atlanta, GA · Remote

$150K - $165K/yr

The Role We Need PadSplit is growing its analytics platform and needs a hands-on Data Engineer to ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Data Engineer (Fully Remote)

Atlanta, GA · Remote

$150K - $165K/yr

The Role We Need PadSplit is growing its analytics platform and needs a hands-on Data Engineer to ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Showing results 21-40

Remote Ai Data Engineer information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do remote ai data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote ai data engineer in Atlanta, GA is $124,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 per year, depending on experience, location, and employer.

What is a remote AI data engineer?

A Remote AI Data Engineer is a professional who designs, builds, and maintains data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) projects, all while working from a remote location. They are responsible for collecting, cleaning, transforming, and storing large datasets, ensuring data quality and accessibility for AI applications. These engineers collaborate with data scientists, software engineers, and stakeholders to deliver data solutions that power intelligent systems, often leveraging cloud technologies and distributed computing. Their work enables organizations to harness data for predictive analytics, automation, and decision-making—without being tied to a physical office.

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

To thrive as a Remote AI Data Engineer, you need strong programming skills (Python, SQL), a solid understanding of data structures, machine learning principles, and typically a degree in computer science or related fields. Familiarity with big data platforms (such as Hadoop or Spark), cloud services (AWS, GCP, or Azure), and experience with AI/ML frameworks like TensorFlow or PyTorch are commonly required. Excellent problem-solving, communication, and self-motivation skills help you collaborate effectively and manage projects independently in a remote setting. These skills and qualities ensure robust AI data pipelines, effective model deployment, and seamless teamwork across distributed environments.

What are some common challenges faced by remote AI data engineers, and how can they be addressed?

Remote AI Data Engineers often encounter challenges such as coordinating with cross-functional teams across different time zones, ensuring data security when accessing sensitive datasets remotely, and maintaining effective communication for project updates. To address these, it's important to establish clear protocols for data sharing, leverage collaboration tools (like Slack or Jira), and schedule regular check-ins to align with team goals. Adopting strong version control practices and automated testing can also help streamline workflows and minimize errors in a distributed environment.

What is the difference between Remote Ai Data Engineer vs Data Scientist?

AspectRemote Ai Data EngineerData Scientist
Required CredentialsBachelor's in CS, Data Engineering, or related; experience with cloud platformsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentData pipelines, cloud infrastructure, codingData analysis, statistical modeling, visualization
Employer & Industry UsageTech companies, AI firms, startupsResearch institutions, tech companies, finance
Common Search & ComparisonYesYes

Remote Ai Data Engineers focus on building and maintaining data pipelines and infrastructure for AI applications, requiring skills in data engineering and cloud platforms. Data Scientists analyze data, develop models, and generate insights. While both roles work with data, Data Engineers prepare the data environment, whereas Data Scientists interpret and model the data. They often collaborate but serve different functions in AI and data projects.

What are the most commonly searched types of Ai Data Engineer jobs in Atlanta, GA?

The most popular types of Ai Data Engineer jobs in Atlanta, GA are:

What are popular job titles related to Remote Ai Data Engineer jobs in Atlanta, GA?

For Remote Ai Data Engineer jobs in Atlanta, GA, the most frequently searched job titles are:

What job categories do people searching Remote Ai Data Engineer jobs in Atlanta, GA look for?

The top searched job categories for Remote Ai Data Engineer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Remote Ai Data Engineer jobs?

Cities near Atlanta, GA with the most Remote Ai Data Engineer job openings:

Infographic showing various Remote Ai Data Engineer job openings in Atlanta, GA as of June 2026, with employment types broken down into 2% As Needed, 88% Full Time, 5% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $124,743 per year, or $60 per hour.

$93K - $162K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


NTT Data rating

7.5

Company rating: 7.5 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

110th of 226 rated it services


Job description

Req ID: 380504 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Remote Data QA to join our team in Atlanta, Georgia (US-GA), United States (US).

Senior QA Data Engineer

Experience: 5–7 years

Team: QA Data Engineering Team

Role Summary

The Senior QA Data Engineer is a strong individual contributor responsible for the most complex test design and validation work on the team. This role authors detailed test plans and test cases for new transformations and ingestion processes, executes advanced data validation across base tables and tabular cubes, and leads root cause analysis on high-impact failures. The Senior QA Engineer contributes meaningfully to the team's Python/Databricks automation assets.

 

Key Responsibilities

  • Create comprehensive test plans and test cases for new transformations and ingestion processes, working from minimal business-supplied input.
  • Execute advanced data validation: verify code correctness against base tables, confirm key fields contain the correct data, and reconcile system outputs against business and vendor expectations (e.g., sales figures, account roles).
  • Write complex SQL and Python validation scripts to compare data warehouse sources against tabular cube outputs, including completeness, sum totals, null percentages, and key-field checks.
  • Author DAX queries against tabular cubes to extract data for comparison against the Azure Data Warehouse source.
  • Lead testing for new transformations and migrations across Snowflake and Databricks, assess impact on downstream cubes and reports.
  • Conduct root cause analysis on data quality incidents; document findings, impact, and remediation, and partner with development teams on resolution.
  • Contribute to and extend the team's automated test scripts and frameworks under the Technical Lead's direction.
  • Use Jira to receive assignments and notifications, kick off test plans, and track results.
  • Mentor QA Engineers/Testers on SQL, Python, validation techniques, and test planning.

 

Basic Qualifications:

  • 5+ years of QA experience with at least 3 years focused on data warehouse, ETL/ELT, or pipeline testing.
  • 5+ years of Hands-on testing experience on Snowflake and Databricks (notebooks, SQL, basic PySpark).
  • 5+ years of Strong Python skills for writing validation scripts, iterating across columns/tables, and producing automated comparison reports.
  • 5+ years of Advanced SQL skills, including complex joins, aggregations, window functions, and reconciliation patterns.
  • 5+ years of Demonstrated ability to write detailed test plans and test cases independently.
  • 5+ years of Experience performing root cause analysis on data issues and producing structured RCA documentation.
  • 5+ years of Experience working in Jira-driven QA workflows.

 

Secondary / Nice to Have

  • Strong communication skills; comfortable working directly with business stakeholders to clarify requirements.
  • Experience with Azure Synapse / Azure Data Warehouse.
  • DAX query authoring against tabular cubes (SSAS Tabular / Azure Analysis Services / Power BI).
  • Exposure to AI workflows or AI-assisted automation for test case generation or data validation.
  • Experience with synthetic and controlled test data generation.

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $93,816 to $162,875. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.

This position may also be eligible for incentive compensation based on individual and/or company performance. 

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

#LI-NorthAmerica, #DataFID

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


What NTT Data employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


NTT DATA logo

About NTT DATA

Sourced by ZipRecruiter

NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967