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Remote Data Engineering Jobs in Georgia (NOW HIRING)

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

You will partner with product, engineering, clinical, and commercial leadership to ensure data and ... S. locations in a remote capacity. Reports to: Chief Technology Officer As the VP of Data Strategy ...

AI Data Science Expert - Remote

Atlanta, GA ยท Remote

$100 - $200/hr

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Software engineering and/or Data Engineering background, especially in one of the major clouds ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

AI Consulting Expert - Remote

Atlanta, GA ยท Remote

$100 - $200/hr

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

$70K - $100K/yr

Guide cross-functional teams of data scientists and engineers to build and deploy proof-of-concepts ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

New

$70K - $100K/yr

Guide cross-functional teams of data scientists and engineers to build and deploy proof-of-concepts ... Remote work and more! About MACC: Telecommunication companies of all sizes across the United States ...

New

Senior AWS Data Engineer

Atlanta, GA ยท On-site +1

$101K - $138K/yr

Contribute to documentation, deployment automation, and engineering best practices. * Collaborate ... Remote If you meet these qualifications and are pursuing new challenges, start your application on ...

Data Platform Engineer

Atlanta, GA ยท On-site +1

$110K - $132K/yr

Strong software engineering skills in at least one language commonly used for data and services (e ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

You'll partner closely with data science, engineering, and GTM teams to ship AI-powered analytics ... S. locations in a remote capacity. Reports to: Director, Product As a Product Manager at Trella ...

... engineering services present in nearly 50 countries. The end client is in the Telecom area ... Remote, Atlanta preferred. Hands-on experience in Neo4j database development, deployment and ...

... engineering services present in nearly 50 countries. The end client is in the Telecom area ... Remote, Brazil OK, Atlanta preferred. At least 5+ years of overall IT experience. The individual ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... programming, along with the ability to translate complex findings into clear business ...

Master Data Specialist - Remote

Atlanta, GA ยท On-site +1

$90K - $105K/yr

Master Data Specialist - Remote Infrastructure Products Group Atlanta, Georgia, United States Job ... We're a trusted and strategic partner to engineers, contractors, distributors, specifiers ...

... Engineers to ensure analyses are grounded in reliable data and effectively operationalized. The ... Current remote and field-based Unum employees may apply and will be considered in accordance with ...

Showing results 41-60

Remote Data Engineering information

See Georgia salary details

$37.6K

$109.5K

$149.9K

How much do remote data engineering jobs pay per year?

As of Aug 22, 2026, the average yearly pay for remote data engineering in Georgia is $109,530.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,700.00 and $116,100.00 per year, depending on experience, location, and employer.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

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

The most popular types of Data Engineering jobs in Georgia are:

What are popular job titles related to Remote Data Engineering jobs in Georgia?

For Remote Data Engineering jobs in Georgia, the most frequently searched job titles are:

What cities in Georgia are hiring for Remote Data Engineering jobs?

Cities in Georgia with the most Remote Data Engineering job openings:

Infographic showing various Remote Data Engineering job openings in Georgia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $109,530 per year, or $52.7 per hour.

AI Data Scientist Expert - Remote

YO AI Labs

Atlanta, GA โ€ข Remote

$100 - $200/hr

Part-time

Posted 10 days ago


Job description

Job Title: AI Data Science Domain Expert

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next-generation AI systems. In this role, you will review, evaluate, and refine AI-generated technical and analytical content to improve model accuracy, reasoning, and overall performance. No prior AI experience is required—your data science expertise, analytical thinking, and communication skills are what matter most.

Key Responsibilities
  • Review, edit, and refine AI-generated content for accuracy, clarity, and technical relevance.
  • Develop, optimize, and evaluate prompts to improve AI model performance.
  • Conduct rubric-based assessments of AI outputs and provide structured feedback.
  • Perform independent research and fact-checking to validate technical information.
  • Annotate data and support quality assurance initiatives for AI training.
  • Interpret complex datasets and prepare clear technical reports and summaries.
  • Collaborate remotely with project teams to improve AI models and workflows.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Prompt Engineering
  • AI Output Evaluation
  • Quality Assurance
  • Technical Documentation
  • Technical & Report Writing
  • Content Review & Editing
  • Data Annotation
  • Data Interpretation
  • Fact Checking
  • Independent Research
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of experience in Data Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.
  • Experience producing or reviewing research papers, analytical reports, technical documentation, experiment summaries, or data-driven recommendations.
  • Strong analytical reasoning, critical thinking, and written communication skills.
  • Experience with data annotation, content review, or rubric-based evaluation is preferred.
  • Familiarity with prompt engineering, AI output evaluation, fact-checking, or RLHF is a plus.
  • Master's, MBA, PhD, or other advanced degree is preferred.