ZipRecruiter

Log In

2

Remote Data Engineer Jobs in Georgia (NOW HIRING)

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 ...

Siemens Healthineers

AI LLM Engineer

Atlanta, GA · On-site +1

You will partner with business stakeholders, data engineers, and platform teams to build production ... This role is designed to be onsite in Atlanta, Georgia with some remote/hybrid flexibility* What ...

ImagineX Consulting

Senior Azure DevOps Engineer

Atlanta, GA · Remote

$125K - $160K/yr

Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the ... You\'ll enjoy working 100% remote in this full-time position. What You'll Do * Architect, implement ...

McKesson

Sr Data Architect, Databricks

Alpharetta, GA · On-site +1

$65.75 - $87.75/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

Sr Data Architect, Databricks

Alpharetta, GA · On-site +1

$65.75 - $87.75/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 ...

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 ...

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 ...

ImagineX Consulting

Senior Azure DevOps Engineer

Atlanta, GA · On-site +1

$127K - $163K/yr

Our dedicated teams specialize in software, data, and AI across the U.S. and LATAM, bridging the ... You'll enjoy working 100% remote in this full-time position. What You'll Do * Architect, implement ...

Astronomer

$125K - $130K/yr

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is ... Remote At Astronomer, we value diversity. We are an equal opportunity employer: we do not ...

ITTConnect

Data Analyst (Neo4j)

Atlanta, GA · Remote

... 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 ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... You'll collaborate with engineering, analytics, governance, and business teams to drive adoption ...

next page

Showing results 1-20

All 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 Jun 29, 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.

Can a data engineer work remotely?

Yes, data engineers can work remotely, especially as many companies adopt flexible work arrangements. Remote data engineering roles often require strong skills in cloud platforms, data pipelines, and collaboration tools, and may involve regular virtual communication with teams. The feasibility depends on the company's policies and the specific job requirements.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines and infrastructure that require human oversight and expertise. Instead, AI tools can augment their work by automating routine tasks, allowing data engineers to focus on complex problem-solving and system architecture. Skills in programming, cloud platforms, and data management remain essential for the role.

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.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data infrastructure.

How to make $1000 a week remote?

A remote data engineer can earn $1000 or more per week by working full-time for a company, freelancing on project-based platforms, or offering specialized skills such as data pipeline development, cloud computing, or machine learning. Building a strong portfolio, gaining relevant certifications, and mastering tools like SQL, Python, and cloud services can increase earning potential.
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 June 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,530 per year, or $52.7 per hour.
AVP of Data Platform - AI Agentic Solutions

AVP of Data Platform - AI Agentic Solutions

Berkshire Hathaway GUARD Insurance Companies

Alpharetta, GA • On-site, Remote

$127K - $313K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Job description

Overview

Good things are happening at Berkshire Hathaway GUARD Insurance Companies-an A+ (Superior) rated, nationwide Property & Casualty insurer backed by Berkshire Hathaway. With supportive leadership, collaborative teams, and opportunities to grow, GUARD is a place where people build meaningful, longterm careers.

Good Things You Can Count On.  Hybrid schedule: 2 days remote / 3 inoffice  Predictable hours (no nights, weekends, or holidays)  Competitive pay + generous PTO  Medical, dental & vision starting day one  401(k), tuition reimbursement & longevity bonuses

Responsibilities

At Berkshire Hathaway GUARD, we're not just insuring-we're innovating. Our Data & Analytics (DnA) organization is at the heart of transforming how we assess risk, serve customers, and shape the future of insurance. We're seeking AVP of Data/AI Platform Services - Infrastructure & Agentic Solutions to lead the execution of our most strategic data initiatives.

What You'll Do

  • Hands-On Development: Design, build, and maintain reusable code, deployment templates, and automation scripts for Fabric workloads. Focus on PowerBI, Fabric Data Agents, Fabric IQ, Foundry IQ. Embed platform policies for data access, privacy, and model governance; integrate with enterprise controls (DLP, encryption, key mgmt.)
  • Service Ownership: Define and automate environment provisioning (capacities/workspaces, workspaces-as-code), onboarding, RBAC, secrets, and connectivity. Stand up end-to-end observability (data & AI asset monitoring, lineage, quality SLAs/SLOs) and continuously upgrade monitoring with domains.
  • Customer Success: Partner with colleagues on the Platform and as well as the domain senior engineers to deliver tailored solutions and ensure adoption of best practices.
  • Team Leadership: Mentor a team of engineers and architects.
  • Innovation: Drive automation, governance, and operational excellence across services.
  • Collaboration: Align services with Platform product roadmap and work closely with Domain Success teams.

 

KPIs & Success Metrics

  • Service Delivery: 95%+ on-time delivery of service features and enhancement requests.
  • Automation Coverage: 90%+ of deployments automated via CI/CD pipelines.
  • Customer Satisfaction: Maintain CSAT score of 4.5+/5 for service engagements.
  • Operational Efficiency: Reduce deployment cycle time by 50% within 12 months.
  • Innovation Impact: Launch at least 2 new automation or optimization features per quarter.

This role will own and drive two core service pillars of our platform:

  • Microsoft Fabric Infrastructure provisioning and monitoring Services
    • Provision GUARD DnA Domain customers Fluidity platform Infrastructure and Monitoring Services.
    • Work with the Domain customers to continuously upgrade the monitoring services to improve the overall observability of domain's Data and AI assets.
  • Agentic Services (Fabric Data Agents, Co-Pilot/Foundry Agents)
    • Design and deploy Multi-Agentic Framework that includes the agents developed in Fabric, Co-Pilot Studio/Foundry to automate the domain processes (patterns for routing, tool use, human-in-the-loop, guardrails, cost control)
    • Define service boundaries and APIs that let domain teams compose agents with data/analytics products. Align designs to the Platform roadmap and domain-success objectives.

    This is a hands-on leadership role-you will build and maintain code, prompt templates policy enforcement, content filters, auditability and other technical assets within Microsoft Fabric workloads, especially PowerBI, Data Agents, Fabric and Foundry IQs, while scaling services and leading a team.

    Qualifications
    • Experience: 10+ years in data/platform engineering, DevOps, or applied ML; 5+ years leading architecture or technical delivery in enterprise settings.
    • Proven, hands-on expertise with Microsoft Fabric (Data Engineering/Lakehouse, Pipelines, Warehouse, Notebooks) and Fabric Git integration; strong Python/SQL; PowerShell for automation.
    • Proven ability to scale teams and deliver enterprise-grade solutions.
    • Ability to translate business objectives into technical solutions and service offerings.
    • Strong mentoring and communication skills.
    • Insurance industry experience preferred.
    • Bonus: Prior delivery of multi-agent or Copilot Studio/Foundry solutions tied to business KPIs.
     

    Salary Range $127,053-$313,842.10 + bonus 

    In accordance with applicable pay transparency laws, this range represents a good-faith estimate. Final compensation will be determined based on factors such as experience, credentials, geographic location, and other considerations permitted by law.

    This role may be based out of any of our office locations, including:

    New York, NY; Parsippany, NJ; Conshohocken, PA; WilkesBarre, PA; Alpharetta, GA; Rosemont, IL; Plano, TX; Scottsdale, AZ 

    Applicants must be authorized to work in the U.S. without current or future sponsorship.

    Employment Type: FULL_TIME

    Apply