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Remote Data Engineer Jobs in Georgia (NOW HIRING)

Worth AI

Data Platform Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

Booz Allen Hamilton, Inc.

Data Architect

Warner Robins, GA · On-site +1

$86K - $198K/yr

Remote Work: Hybrid Job Number: R0243613 Location: Warner Robins,GA,US Share job via: Share Data ... You Have: * 5+ years of experience in data architecture or data engineering * Experience managing ...

FIS

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... Partner with product, engineering, business, and executive stakeholders to translate business ...

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · On-site +1

Location- Hybrid (3 days in office, 2 days remote): Atlanta, GA, Columbus, GA or Jacksonville, FL ... Partner with product, engineering, business, and executive stakeholders to translate business ...

Deckers

Director, Data Platforms & Engineering Location ... United States (Remote) Interested applicants must reside in one of the following approved states:

McKesson

Data Architect, Databricks

Alpharetta, GA · On-site +1

$62.25 - $80/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

McKesson

Data Architect, Databricks

Alpharetta, GA · On-site +1

$62.25 - $80/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

CRH

Master Data Specialist - Remote

Atlanta, GA · On-site +1

$90K - $105K/yr

We're a trusted and strategic partner to engineers, contractors, distributors, specifiers ... We are seeking a Master Data Management (MDM) Specialist to support both ongoing ERP conversion ...

CRH

Master Data Specialist - Remote

Atlanta, GA · On-site +1

$90K - $105K/yr

We're a trusted and strategic partner to engineers, contractors, distributors, specifiers ... We are seeking a Master Data Management (MDM) Specialist to support both ongoing ERP conversion ...

CSAA

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 ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Collaborate with data engineering teams to translate architecture designs into scalable physical ...

ITTConnect

Data Analyst (Neo4j)

Atlanta, GA · Remote

... 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 ...

CSAA

Collaborate with engineers and architects on hub configuration and solution design, integration ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Georgia

Remote Data Engineer information

See Georgia salary details

$37.6K

$109.5K

$149.9K

How much do remote data engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for remote data engineer 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 Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What are the key skills and qualifications needed to thrive as a Remote Data Engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Georgia? The most popular types of Data Engineer jobs in Georgia are:
What are popular job titles related to Remote Data Engineer jobs in Georgia? For Remote Data Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Georgia look for? The top searched job categories for Remote Data Engineer jobs in Georgia are:
What cities in Georgia are hiring for Remote Data Engineer jobs? Cities in Georgia with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Georgia as of July 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.
Senior Azure DevOps Engineer - Remote

Senior Azure DevOps Engineer - Remote

ImagineX Consulting

Atlanta, GA • On-site, Remote

$127K - $163K/yr

Full-time

Posted 8 days ago

Job description

ImagineX is a tech company that deploys AI-assisted teams to build and secure mission-critical enterprise solutions with our clients - spanning software, data, and AI. Structured like a software company, not a traditional consultancy, we blend deep technical expertise with authentic values, achieving world-class satisfaction (NPS 91). Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the gap between boutique agility and enterprise scale.About the Role
We are seeking a Senior Azure DevOps Engineer to join our high-performing engineering team. In this role, you will architect, automate, and optimize cloud infrastructure and CI/CD pipelines that support mission-critical enterprise systems. You'll collaborate closely with software and data engineering teams to deliver secure, scalable, and resilient solutions for our clients.
This is a hands-on senior role for someone who thrives in automation-first environments, enjoys solving complex cloud challenges, and wants to influence DevOps strategy across multiple projects. You'll enjoy working 100% remote in this full-time position. What You'll Do
  • Architect, implement, and maintain Azure cloud infrastructure using Infrastructure-as-Code (Terraform, Bicep, or ARM).
  • Design, build, and optimize Azure DevOps CI/CD pipelines for application and infrastructure deployments.
  • Manage and automate provisioning, configuration, and scaling across multiple environments.
  • Deploy, secure, and maintain Azure Kubernetes Service (AKS) clusters and containerized workloads.
  • Implement monitoring, logging, and alerting using Azure Monitor, App Insights, and Log Analytics.
  • Partner with engineering teams to streamline build, test, and deployment workflows.
  • Implement and enforce cloud security best practices, including identity, secrets management, and network controls.
  • Troubleshoot production issues, perform root-cause analysis, and drive long-term reliability improvements.
  • Champion DevOps culture, automation, and continuous improvement across teams.
What You Bring
  • 5-8+ years of experience in DevOps, Cloud Engineering, or Site Reliability Engineering.
  • Deep expertise with Microsoft Azure, including services such as:
    • Azure App Services, Functions
    • AKS, ACR
    • Azure SQL, Cosmos DB, Storage Accounts
    • VNETs, Private Endpoints, Firewalls
  • Strong experience with Azure DevOps, GitHub Actions, or similar CI/CD platforms.
  • Proficiency with Infrastructure as Code (Terraform strongly preferred).
  • Strong scripting skills in PowerShell, Bash, or Python.
  • Hands-on experience with Docker and container orchestration.
  • Solid understanding of cloud networking, security, identity, and governance.
  • Experience implementing observability and incident response workflows.
  • Excellent communication skills and the ability to work cross-functionally.
Nice to Have
  • Azure certifications (AZ-104, AZ-400, AZ-305, etc.)
  • Experience with service mesh, API gateways, or distributed systems
  • Background in .NET, Node.js, or backend engineering
  • Experience with FinOps or cloud cost optimization
  • Familiarity with SOC2, Zero Trust, or other compliance frameworks
Why ImagineX
  • 100% remote work environment
  • High-impact engineering culture with strong autonomy
  • Opportunity to influence cloud architecture and DevOps strategy
  • Work with AI-assisted teams and cutting-edge technologies
  • Competitive compensation and benefits

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