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Remote Data Engineer Jobs in Cumming, GA (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 ...

FAVARH

Senior Data Engineer

Atlanta, GA · On-site +1

$101K - $138K/yr

Implement enterprise solutions, in a cloud environment, using a vast range of data engineering and cloud technologies. Work on tasks independently and seek guidance from leaders as needed. Help ...

KPI Solutions

Supply Chain Data Analyst

Atlanta, GA · On-site +1

Advanced Solution Development Data Scientist/Senior Data Engineer (Data+AI / Databricks / SQL) - Closed-Loop Design & Pre-Sales Automation KPI Solutions is a leading supply chain and warehouse ...

Bravo17

Lead Systems Engineer (data)

Atlanta, GA · On-site +1

See us at Position Summary As a Lead Systems Engineer - Data at Bravo17, you will elevate data ... Remote; however we are looking to grow our presence in Atlanta, Chicago, Denver, and Washington DC ...

Federal Reserve Bank of Richmond

Data Architect

Atlanta, GA · On-site +1

$61.25 - $78.75/hr

Enable advanced analytical capabilities for researchers and developers. * Partner with the ... No * Current remote employees will not be guaranteed to keep their remote status with their ...

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Showing results 21-40

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Cumming, GA

Remote Data Engineer information

See Cumming, GA salary details

$39.7K

$115.7K

$158.3K

How much do remote data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote data engineer in Cumming, GA is $115,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,100.00 and $122,700.00 per year, depending on experience, location, and employer.

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 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 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.

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 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.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

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

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

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

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

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Cumming, GA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $115,717 per year, or $55.6 per hour.

Sr Data Engineer

BeyondTrust

Johns Creek, GA • On-site, Remote

$98K - $133K/yr

Full-time

Re-posted 6 days ago

Job description

Company:           BeyondTrust Corporation

Location:             Johns Creek, GA

Position Title:    Senior Data Engineer (Req # 3389121)

Job Description

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 AWS expertise to manage a wide array of cloud compute services like AWS Lambda as well as managing database solutions like AWS DynamoDB and AWS Neptune in order to compute results quickly. Extensive Datadog and AWS Cloudwatch monitoring to ensure that all aspects of infrastructure stays running as expected and niche data governance methods are applied to ensure that data outcomes remain consistent. Perform data modelling and database structuring. Create highly scalable and efficient ETL pipelines to populate our advanced data lake. Position is a fixed location based in Johns Creek office; however, telecommuting from a home office may also be allowed.

Job Requirements

Requires a Master's degree (or foreign equivalent) in Information Systems or a directly related field plus four (4) years of experience in a Data Engineering role. Experience must include:

Four (4) years of experience in the following (experience may be gained concurrently):

  • Petabyte-sized Data Lakes
  • Deep AWS experience building end-to-end data applications
  • Spark experience (RDDs, DataFrames, low-level optimizations)
  • Spark optimization tools (Ganglia, Log4J, Spark UI)
  • Data warehousing
  • Data modeling experience
  • SQL development
  • Python

Three (3) years of experience in the following (experience may be gained concurrently):

  • Snowflake experience
  • AWS Athena serverless data warehousing

One (1) year of experience in the following (experience may be gained concurrently):

  • Hadoop ecosystem
  • Hive and Presto
  • YARN resource management

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