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Geospatial Data Engineer Remote Jobs in Georgia (NOW HIRING)

Axiom

Data Architect (Remote)

Atlanta, GA · On-site +1

$61.25 - $78.75/hr

Data Architect 1 - US Remote About Axiom: As the leading alternative legal services provider ... The Data Architect directly manages the Data Engineer and operates in close coordination with the ...

Momentive Software, Inc.

Senior Data Engineer

Atlanta, GA · Remote

$101K - $138K/yr

Data Engineering & Preparation * * Clean, preprocess, and transform raw data for analysis and ... Disability Remote Work Flexibility Momentive Software actively embraces diversity and equal ...

Aimpoint Digital

Senior Data Engineer 2026 - US,UK

Atlanta, GA · On-site +1

$117K - $155K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients' toughest ...

Aimpoint Digital

Senior Data Engineer 2026 - US,UK

Atlanta, GA · On-site +1

$117K - $155K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data engineering space to solve our clients\' toughest ...

VetsEZ

Test Automation Engineer (Remote Opportunity)

Atlanta, GA · On-site +1

$44.25 - $58.50/hr

Design and execute automated testing strategies across middleware, API, and data integration layers ... Collaborate with QA leads, developers, and business stakeholders to troubleshoot issues and improve ...

VetsEZ

Test Automation Engineer (Remote Opportunity)

Atlanta, GA · Remote

$44.25 - $58.50/hr

Design and execute automated testing strategies across middleware, API, and data integration layers ... Collaborate with QA leads, developers, and business stakeholders to troubleshoot issues and improve ...

ICF

Senior Transmission Line Engineer - REMOTE

Atlanta, GA · Remote

$100K - $138K/yr

Title: Senior Transmission Line Engineer Location: Remote US Ready to make a difference? We are ... Prepare and review technical documentation such as specifications, data sheets, RFQs, bid ...

Harris

Your primary focus will be on enhancing the geospatial capabilities of our Outage Management System ... Configure and manage map services and data publishing workflows to ensure timely and accurate data ...

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All JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Georgia

Geospatial Data Engineer Remote information

What is a Geospatial Data Engineer?

A Geospatial Data Engineer is a technology professional who designs, develops, and manages systems for collecting, storing, analyzing, and visualizing geospatial (location-based) data. They work with geographic information systems (GIS), spatial databases, and cloud platforms to process large datasets from sources like satellites, drones, and sensors. In a remote setting, they collaborate with teams online to build and maintain geospatial data pipelines and support decision-making for industries such as urban planning, environmental science, and logistics.

What are the key skills and qualifications needed to thrive as a Geospatial Data Engineer in a remote role, and why are they important?

To thrive as a Geospatial Data Engineer (Remote), you need a strong background in GIS, geospatial analysis, and computer science, often supported by a related degree and experience with spatial databases. Proficiency with tools like Python, SQL, PostGIS, ArcGIS, and cloud platforms is typically required, along with relevant certifications such as GISP. Excellent problem-solving, communication, and self-management skills are essential for collaborating across distributed teams and delivering results independently. These skills ensure effective management of complex geospatial datasets, seamless integration of spatial data solutions, and success in a remote work environment.

What is the difference between Geospatial Data Engineer Remote vs GIS Analyst?

AspectGeospatial Data Engineer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; experience with GIS software and programmingBachelor's in Geography, GIS, or related field; proficiency in GIS tools
Work EnvironmentRemote, often collaborative with teams across locationsTypically office-based or hybrid; fieldwork possible
Employer & Industry UsageTech companies, government agencies, environmental firmsUrban planning, government, environmental consulting
Common Search & ComparisonOften compared for GIS and data engineering roles in remote settings

The main difference between a Geospatial Data Engineer Remote and a GIS Analyst lies in their focus and skill set. Geospatial Data Engineers primarily develop and maintain data pipelines and infrastructure, often requiring programming skills, while GIS Analysts focus on spatial data analysis and map creation. Both roles may work remotely and share similar educational backgrounds, but their daily tasks and technical expertise differ significantly.

What are the typical challenges faced by remote Geospatial Data Engineers when collaborating with distributed teams?

Remote Geospatial Data Engineers often navigate challenges such as coordinating across different time zones, ensuring data consistency, and maintaining effective communication with team members who may have varying technical backgrounds. Utilizing collaborative tools like version control systems and cloud-based platforms helps streamline workflows, but clear documentation and regular check-ins are essential to prevent misunderstandings. Building strong relationships virtually and proactively addressing technical or logistical issues can greatly enhance productivity and teamwork in a remote setting.
What are the most commonly searched types of Geospatial Data Engineer jobs in Georgia? The most popular types of Geospatial Data Engineer jobs in Georgia are:
What are popular job titles related to Geospatial Data Engineer Remote jobs in Georgia? For Geospatial Data Engineer Remote jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Geospatial Data Engineer Remote jobs in Georgia look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Georgia are:
What cities in Georgia are hiring for Geospatial Data Engineer Remote jobs? Cities in Georgia with the most Geospatial Data Engineer Remote job openings:
Geospatial Data Engineer Remote jobs near you
AI & Data Systems Engineer (Remote)

AI & Data Systems Engineer (Remote)

Ceribell, Inc

Atlanta, GA • On-site, Remote

$161K - $173K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago

Job description

About Ceribell

Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. The Ceribell System is a novel, point-of-care electroencephalography ("EEG") platform specifically designed to address the unmet needs of patients in the acute care setting, and is being used in hundreds of community hospitals, large academic facilities and major IDN's across the country. Our entire team is driven by a shared commitment to transforming the landscape of critical care through our rapid seizure detection technology, come join the movement!

Position Overview:

The AI & Data Systems Engineer will be a key individual contributor on Ceribell's Data Architecture & Engineering team, responsible for much of the hands-on implementation work that turns architectural plans into reality. This role exists at the intersection of software development, data engineering, and DevOps as someone who is equally comfortable writing application code and managing the infrastructure those systems run on.

A significant part of this role involves taking ideas and early-stage prototypes for AI-powered internal tools and engineering them into stable, supportable internal applications. The ideal candidate is a versatile builder who can move fluidly across layers of the stack, understands when something is production-ready versus when it needs to be rebuilt properly, and takes pride in writing code and infrastructure that others can maintain and build on.

What you'll do:

  • Implement internal tools and applications based on architectural direction from the Director of Data Architecture & Engineering, including taking stakeholder prototypes and re-engineering them into production-grade systems.
  • Manage and maintain the infrastructure supporting internal AI tools and data systems, including deployment, configuration, monitoring, and incident response.
  • Write clean, well-documented code across whatever languages and frameworks the work requires; apply sound engineering practices around testing, version control, and code review.
  • Evaluate and integrate AI tools and third-party services into internal workflows where they provide clear value, with attention to security, cost, and long-term maintainability.
  • Contribute to data quality practices: implementing automated checks, investigating pipeline failures, and helping establish clear data ownership and lineage.
  • Collaborate with stakeholders across the business to understand requirements, surface technical tradeoffs, and deliver solutions that meet actual needs rather than assumed ones.
  • Support access control and permissions management across systems and tooling, contributing to the team's broader security and governance practices.
  • Maintain thorough documentation of systems, data flows, and processes so that institutional knowledge is preserved and accessible.
  • Other responsibilities as assigned by your Manager/Supervisor

What We're Looking For:

  • 3 - 6 years of hands-on experience in a technical role spanning some combination of software development, data engineering, and infrastructure or DevOps work.
  • Experience implementing and deploying AI solutions in a production environment, including model integration, API usage, and operational maintenance.
  • Proficiency in at least one general-purpose programming language (e.g. Python) and comfort picking up new languages or frameworks as the work demands.
  • Experience building and maintaining data pipelines, including working with APIs, relational databases, and cloud data platforms.
  • Working knowledge of DevOps practices and tools: CI/CD pipelines, containerization (Docker), cloud infrastructure (AWS, GCP, or Azure), and infrastructure-as-code concepts.
  • Demonstrated ability to read and understand existing codebases, including prototypes or AI-generated code, assess their quality, and refactor or rebuild them as appropriate.
  • Familiarity with enterprise business systems such as Snowflake, Salesforce, NetSuite, or similar platforms, including working with their APIs and data models.
  • Strong attention to detail.
  • Good written and verbal communication skills; able to explain technical decisions clearly to non-technical colleagues.
  • Bachelor's degree in Computer Science, Engineering, or a related field preferred; equivalent practical experience accepted.

Compensation:

San Francisco Bay Area, Los Angeles, and New York City Metropolitan Locations: $161K - $173K

All other National Locations: $141K - $162K

Compensation Range
$141,000—$173,000 USD

A candidate's final salary offer will be based on their skills, education, work location and experience, and thus it may differ from the posted range. Compensation may also include bonuses consistent with Ceribell's corporate compensation plan. Note, the above description is not all-encompassing and Ceribell reserves the right to change or modify job duties and assignments at any time.

In addition to your base compensation, Ceribell offers eligible employees the following:

  • Performance-based incentive compensation (varies by role)
  • Equity opportunities
  • 100% Employer paid Health Benefits for Employees
  • 50% - 70% Employer paid Health, Dental & Vision for dependents (depending on plan selection)
  • 100% paid Life and Long-Term Disability Insurance
  • 401(k) with a generous company match
  • Employee Stock Purchase Plan (ESPP) with a discount
  • Monthly cell phone stipend
  • Flexible paid time off
  • 13 Paid Holidays + 3 Company Wellness Days
  • Excellent parental leave policy
  • Fantastic culture with tremendous career advancement opportunities
  • Joining a mission-minded organization!

Application Deadline: Ongoing

Other Job Details
Ceribell reports transfers of value to health care providers (HCPs) as required by federal and state transparency laws. These laws and implementing regulations require Ceribell to provide government agencies with HCPs' names, addresses and the type of payments or other value received, generally for public disclosure. If you are an HCP and we pay or reimburse your recruiting expenses as a result of interviewing with Ceribell, your name, address and the amount of payments made may be reported to the government.

Equal Opportunity Employer
Ceribell is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity or expression, national origin, age, marital status, disability, veteran status or any other characteristic protected by law. Ceribell complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Ceribell is an E-Verify employer. Any applicant with a disability who requires an accommodation during the application process should contact talent@ceribell.com to request reasonable accommodation.

Privacy Statement
For information on how Ceribell processes personal data of job applicants, please review our Privacy Policy.

Compliance Disclaimer
If you believe this job posting is non-compliant, please submit a report to legal@ceribell.com. Please note that we will not respond to inquiries unrelated to job posting compliance.