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Remote Data Engineer Jobs in Marietta, GA (NOW HIRING)

Sequoia Connect

Senior AWS Data Engineer

Atlanta, GA · On-site +1

$101K - $138K/yr

Remote If you meet these qualifications and are pursuing new challenges, start your application on ... data integration patterns. * Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.

Sequoia Connect

Senior AWS Data Engineer

Atlanta, GA · Remote

$108K - $147K/yr

Remote If you meet these qualifications and are pursuing new challenges, start your application on ... data integration patterns. * Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.

FAVARH

Senior Data Engineer

Atlanta, GA · On-site +1

$101K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

PrizePicks

Data Platform Engineer

Atlanta, GA · On-site +1

$145K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Data Platform Engineer, you will contribute to building the modern Data platform at Prizepicks ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

Bravo17

Lead Systems Engineer (data)

Atlanta, GA · On-site +1

  • Medical

  • PTO

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 ...

Atrium Hospitality

Data Management Analyst

Alpharetta, GA · Remote

$60K - $65K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Fully Remote Position: This role is 100% remote, allowing you to work from the comfort of your home ... Partner with data engineers and BI developers to fix defects, expand monitoring, and keep ...

New

Atrium Hospitality

Data Management Analyst

Alpharetta, GA · Remote

$60K - $65K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Fully Remote Position: This role is 100% remote, allowing you to work from the comfort of your home ... Partner with data engineers and BI developers to fix defects, expand monitoring, and keep ...

New

Worth AI

Data Platform Engineer

Atlanta, GA · Remote

$117K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Worth AI

Data Platform Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

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Showing results 21-40

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

Remote Data Engineer information

See Marietta, GA salary details

$40.3K

$117.5K

$160.8K

How much do remote data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote data engineer in Marietta, GA is $117,506.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,700.00 and $124,600.00 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 Marietta, GA?

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

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

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

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

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

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Marietta, GA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $117,506 per year, or $56.5 per hour.

Senior AWS Data Engineer

Sequoia Connect

Atlanta, GA • On-site, Remote

$101K - $138K/yr

Full-time

Posted 8 days ago

Job description

Description
At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.
We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.
This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.
We are currently searching for a Senior AWS Data Engineer:
The Challenge (Responsibilities)
  • Design, build, and maintain scalable ETL and data pipelines using Python, PySpark, and AWS services.
  • Develop and manage workflows using Glue, Lambda, and Step Functions.
  • Build event-driven integrations using SNS, SQS, and related AWS services.
  • Design and optimize data lake and warehouse solutions using S3, Athena, and Redshift.
  • Write and tune high-performance SQL for complex transformations and reporting.
  • Design and Implement data validation, monitoring, logging, alerting, and error-handling frameworks.
  • Design and Support API-based and JSON-based integrations across internal and external systems.
  • Troubleshoot operational issues, identify root causes, and implement corrective actions.
  • Contribute to documentation, deployment automation, and engineering best practices.
  • Collaborate with stakeholders and mentor junior team members where needed.

Your Profile (Requirements)
  • Degree holders for the visa application process.
  • 8-12 years of software development experience across the appropriate platform.
  • Solid IT background and experience.
  • Experience as an application developer for projects similar in scope and responsibility.
  • Strong expertise in Python, PySpark, and SQL.
  • Strong hands-on experience with AWS services such as Glue, Redshift, RDS, Lambda, Step Functions, SNS, SQS, S3, Athena, EMR, CloudWatch, and CloudTrail.
  • Experience with enterprise data lakes, data warehouses, data marts, and big data environments.
  • Strong understanding of ETL best practices, data quality, and operational support.
  • Experience with APIs, JSON, and cloud-based data integration patterns.
  • Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.
  • Experience with DynamoDB, EC2, ECS and Batch.
  • Exposure to data migration and cloud modernization programs.
  • Have a good understanding of performance engineering of code pipelines and near real-time systems.
  • Good understanding of Agents and MCP.
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired
  • Familiarity with cloud-native foundations or AI coding assistants.

Languages
  • Advanced Oral English: For seamless collaboration with global teams.
  • Advanced Spanish.

Special Notes
  • N/A

Work Arrangement
We value flexibility to support your lifestyle. This position is available as:
  • Remote

If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career's Page: https://www.sequoia-connect.com/careers/
Requirements
  • 8-12 years of software development experience across the appropriate platform.
  • Solid IT background and experience.
  • Experience as an application developer for projects similar in scope and responsibility.
  • Strong expertise in Python, PySpark, and SQL.
  • Strong hands-on experience with AWS services such as Glue, Redshift, RDS, Lambda, Step Functions, SNS, SQS, S3, Athena, EMR, CloudWatch, and CloudTrail.
  • Experience with enterprise data lakes, data warehouses, data marts, and big data environments.
  • Strong understanding of ETL best practices, data quality, and operational support.
  • Experience with APIs, JSON, and cloud-based data integration patterns.
  • Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.
  • Experience with DynamoDB, EC2, ECS and Batch.
  • Exposure to data migration and cloud modernization programs.
  • Have a good understanding of performance engineering of code pipelines and near real time systems
  • Good understanding on Agents and MCP

Apply