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Remote Gcp Data Engineer Jobs in Powder Springs, GA

YO AI Labs

Infrastructure Expert - Remote

Atlanta, GA · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Site Reliability Engineering (SRE) * Platform Engineering * AWS / Azure / GCP * Kubernetes / Docker

IQVIA

Senior Data Team Lead (Remote)

Atlanta, GA · Remote

$86K - $217K/yr

This is a remote/WFH position with all necessary equipment provided. What You'll Do * Lead data ... Strong understanding of GCP, ICH, and clinical research processes. * Excellent communication and ...

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 ...

TechStarsGroup LLC

Senior Platform Engineer

Atlanta, GA · Remote

$100K - $138K/yr

Senior Platform Engineer - REMOTE Our client is at the forefront of applying machine learning ... Cloud Platform (GCP). Additionally, you will play a key role in establishing and securing ...

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All JobsGcp Data Engineer JobsRemote Gcp Data Engineer JobsRemote Gcp Data Engineer Jobs in Powder Springs, GA

Remote Gcp Data Engineer information

See Powder Springs, GA salary details

$42.1K

$122.8K

$168.1K

How much do remote gcp data engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote gcp data engineer in Powder Springs, GA is $122,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $130,200.00 per year, depending on experience, location, and employer.

What is a remote GCP data engineer?

A Remote GCP Data Engineer is a technology professional who designs, builds, and manages data solutions using Google Cloud Platform (GCP), working from a remote location rather than an office. Their responsibilities include developing data pipelines, optimizing data storage, and ensuring efficient data processing on GCP services like BigQuery, Dataflow, and Cloud Storage. They collaborate with data scientists, analysts, and other engineers to support an organization's data needs while leveraging the flexibility of remote work.

How does a remote GCP data engineer typically collaborate with cross-functional teams when working offsite?

As a Remote GCP Data Engineer, you will frequently collaborate with data scientists, analysts, and product teams using virtual tools such as Slack, Jira, and Google Meet. Regular stand-ups and sprint planning meetings ensure alignment on project goals and timelines. Clear documentation and version control (often via Git) are crucial for smooth handoffs and code reviews, while cloud-based development environments streamline collaborative problem-solving. Successful remote collaboration relies on proactive communication and a willingness to adapt to various team workflows.

What are the key skills and qualifications needed to thrive as a remote GCP data engineer, and why are they important?

To thrive as a Remote GCP Data Engineer, you need expertise in data engineering concepts, SQL, Python, and a solid understanding of cloud computing, especially Google Cloud Platform (GCP) services like BigQuery and Dataflow, often supported by a relevant degree or GCP certification. Familiarity with tools such as Cloud Storage, Pub/Sub, Dataform, and workflow orchestration systems is typically required. Strong problem-solving, communication, and self-management skills set top candidates apart in remote environments. These abilities ensure efficient data processing, seamless collaboration, and successful delivery of scalable cloud-based solutions.

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

AspectRemote Gcp Data EngineerRemote Data Analyst
Required CredentialsGCP certifications, SQL, Python, data engineering skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, data pipelines, infrastructure managementData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare companies using cloud data solutionsMarketing, business intelligence, research firms

Remote Gcp Data Engineers focus on building and maintaining data pipelines on Google Cloud Platform, requiring cloud and engineering skills. Remote Data Analysts interpret data and create reports, often using visualization tools. While both roles require SQL and data handling, Gcp Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on insights and presentation.

What are popular job titles related to Remote Gcp Data Engineer jobs in Powder Springs, GA?

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

What cities near Powder Springs, GA are hiring for Remote Gcp Data Engineer jobs?

Cities near Powder Springs, GA with the most Remote Gcp Data Engineer job openings:

Remote Gcp Data Engineer jobs near you
Infographic showing various Remote Gcp Data Engineer job openings in Powder Springs, GA as of June 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution, with an average salary of $122,832 per year, or $59.1 per hour.

HealthShare Application Engineer (Remote Opportunity)

VetsEZ

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Job description

We are currently looking for a HealthShare Application Engineer for a 100% remote position on a large federal government project. In this role, you will support and maintain InterSystems HealthShare environments, healthcare interoperability solutions, middleware platforms, and cloud-based infrastructure. The ideal candidate will have experience with HealthShare, IRIS, healthcare data exchange standards, DevOps practices, and production support in a highly available environment.
The candidate must reside within the continental US.
Responsibilities
  • Support InterSystems HealthShare, IRIS, and Caché environments, including installation, configuration, upgrades, and patch management.
  • Maintain and enhance CI/CD pipelines and automation processes to improve software delivery and operational efficiency.
  • Provide Tier 3 support for HealthShare applications, interoperability services, and related middleware technologies.
  • Manage certificate lifecycle activities, including updates and maintenance across production and non-production environments.
  • Support authentication and access management solutions, including OAuth, SSO, and ADFS integrations.
  • Support healthcare interoperability solutions and interfaces utilizing HL7, FHIR, CDA/CCDA, APIs, and related healthcare data exchange standards.
  • Monitor system performance, troubleshoot issues, and implement proactive solutions to ensure platform reliability and availability.
  • Participate in an on-call rotation to support production HealthShare environments, troubleshoot critical issues, and ensure system availability, as required.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

Requirements
  • Bachelor's degree in Engineering, Computer Science, Information Technology, or a related technical discipline.
  • Minimum of 3-5 years of professional experience in information technology, healthcare IT, or federal government contracting environments.
  • Hands-on experience with InterSystems HealthShare, IRIS, or Caché, including experience supporting one or more HealthShare components such as Health Connect, Unified Care Record (UCR), Provider Directory, or IRIS for Health.
  • Experience supporting healthcare interoperability solutions utilizing HL7, FHIR, CDA/CCDA, web services, APIs, and related healthcare data exchange standards.
  • Experience automating infrastructure, testing, or deployments using tools such as Jenkins, Ansible, or similar DevOps technologies.
  • Experience with cloud platforms including AWS, Azure, or Google Cloud Platform (GCP).
  • Experience developing and maintaining CI/CD pipelines to improve software quality, deployment speed, and operational efficiency.
  • Experience configuring, monitoring, and supporting enterprise middleware or healthcare integration platforms in production environments.
  • Knowledge of Agile/SAFe methodologies, DevOps practices, Linux/Unix administration, Apache, Python scripting, and enterprise monitoring solutions.
  • Strong troubleshooting, analytical, communication, and problem-solving skills.

Additional Qualifications
  • Experience supporting HealthShare productions, interoperability interfaces, and healthcare integration workflows.
  • Experience with monitoring and observability platforms such as Splunk, Dynatrace, and AWS CloudWatch.
  • AWS Certified Solutions Architect - Associate or similar cloud certification is preferred.
  • Experience with the Department of Veterans Affairs (VA) is highly desirable.

Security Clearance Requirements
  • U.S. Citizenship is required.
  • All selected candidates must successfully complete a background check.
  • Ability to obtain and maintain a Government/Public Trust clearance, including required fingerprinting, when required for the position.

Benefits
  • Medical/Dental/Vision.
  • 401k with Employer Match.
  • PTO + Federal Holidays.
  • Corporate Laptop.
  • Training Opportunities.
  • Remote Opportunity.

VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Sorry, we are unable to offer sponsorship at this time.

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