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Remote Data Engineer Jobs in Georgia (NOW HIRING)

BeyondTrust

Sr Data Engineer

Johns Creek, GA · On-site +1

$98K - $133K/yr

Senior Data Engineer (Req # 3389121) Data Engineers at BeyondTrust are the backbone of the company's core data infrastructure that powers all analytics products running on our SaaS platform. Leverage ...

CVS Health

Staff Data Engineer

Alpharetta, GA · On-site +1

$126K - $236K/yr

Staff Data Engineer to develop, build, and manage large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business ...

CVS Health

Staff Data Engineer

Alpharetta, GA · On-site +1

$126K - $236K/yr

Staff Data Engineer to develop, build, and manage large-scale data structures, pipelines, and efficient Extract/Load/Transform (ETL) workflows to address complex problems and support business ...

DigitalOcean

Data Center Engineer I

Atlanta, GA · Remote

$66K - $83K/yr

At DigitalOcean, Data Center Engineers play a massive role in the success of our business. Our ... Submitting and tracking remote work requests and managing server and component inventory

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 ...

Deckers

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

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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.

Principal Data Engineer

GreenSky Administrative Services LLC

Alpharetta, GA • On-site, Remote

$107K - $129K/yr

Full-time

Posted 17 days ago

Job description

Recruiter: Dena Richardson Belser, Human Resources Business Partner

Job Code: 9620910


Job Duties:  Principal Data Engineer with GREENSKY MANAGEMENT COMPANY LLC in Atlanta, GA. Applicant may work remotely from anywhere in the U.S. Design, develop, and execute software test plans, strategies, and scenarios for BI and Data Warehouse projects. Write, optimize, and automate complex SQL queries, T-SQL stored procedures, and views for Snowflake and MS-SQL Server to support both validation and development tasks. Create and maintain automated test suites in Python and SQL for data validation and quality checks, focusing on business rule verification and report integrity. Validate and test business intelligence reports built with SSRS, Tableau, and Sigma, ensuring data accuracy and alignment with requirements. Develop and enhance test frameworks for ETL processes, primarily leveraging Talend, to support data movement and transformation pipeline quality. Document test artifacts, outcomes, and recommendations, and collaborate with report developers and stakeholders to resolve discrepancies. Participate in agile ceremonies, daily stand-ups, sprint planning, and business requirement calls, providing technical insights and updates. Mentor junior engineers on testing strategies, SQL best practices, and BI tool utilization.


Job Requirements: Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Electronic Engineering, or related engineering field or related field. Seven (7) years of experience in the job offered or in a related role. Prior experience must include seven (7) years of experience with: Using SQL and T-SQL in Snowflake and MS-SQL Server environment. Advanced knowledge of Python for scripting and automated testing. Experience validating and testing reports in SSRS and Tableau. Direct experience with ETL tools including Talend. Working in agile teams and collaborating with cross-functional stakeholders. Developing automated validation routines for report data and ensuring accurate representation of business metrics and KPIs. Automating repetitive and complex testing processes to improve efficiency and reliability

GreenSky is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.  For more information, visit us on the web at www.greensky.com.

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