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Geospatial Data Engineer Remote Jobs in Georgia (NOW HIRING)

Aimpoint Digital

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/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 ...

YO AI Labs

Backend Engineer - Remote

Atlanta, GA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Aimpoint Digital

Senior Data Engineer 2026 - US

Atlanta, GA · On-site +1

$101K - $138K/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 ...

YO AI Labs

AI Engineer - Remote

Atlanta, GA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

Kemper

Data Quality Engineer

Alpharetta, GA · Remote

$111K - $134K/yr

... Remote-OH, Remote-PA, Remote-RI, Remote-VA Details Kemper is one of the nation's leading ... Kemper is seeking a Data Quality Engineer specializing in Data Testing and Quality Engineering to ...

YO AI Labs

AI/ML Engineer - Remote

Atlanta, GA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and ...

YO AI Labs

DevOps Engineer - Remote

Atlanta, GA · Remote

$50 - $150/hr

... Engineer Role Type: Contractor Location: Remote Job Overview We are seeking experienced DevOps ... Previous experience with AI training data or model evaluation.

YO AI Labs

AI Software Engineer - Remote

Atlanta, GA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

YO AI Labs

Machine Learning Engineer - Remote

Atlanta, GA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

YO AI Labs

RL Environment Engineer - Remote

Atlanta, GA · Remote

$80 - $120/hr

Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training ... Strong understanding of algorithms and data structures . * Experience with bug fixing and debugging ...

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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 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 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 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
Infographic showing various Geospatial Data Engineer Remote job openings in Georgia as of September 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% Remote job distribution.

Senior Data Engineer

Atlanta, GA • Remote

GreenSky Administrative Services LLC
See more jobs at GreenSky Administrative Services LLCexternal

$101K - $138K/yr

Full-time

Posted 15 days ago

Key responsibilities

  • Design, develop, and implement data processing jobs to move and transform data from OLTP databases into the Data Lake using tools such as MSSQL, SQL, Snowflake SQL, Java, Talend, JavaScript, Python, and Bash.

  • Build and maintain automated tools and pipelines, including CI/CD workflows, to ensure data quality, security, and compliance across enterprise data systems.

  • Monitor, troubleshoot, and optimize data jobs and pipelines, and mentor data engineers to uphold engineering standards and performance.

Job description

Job Duties: Senior Data Engineer with GREENSKY MANAGEMENT COMPANY LLC in Atlanta, GA. Remote work permitted. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Work with data and analytics experts to strive for greater functionality in our data systems. Design and develop/build jobs using MSSQL, SQL, Snowflake SQL, Java, Talend, JavaScript, Python and Bash to move data generated by one of our Online Transactional Processing (OLTP) databases and move it into our Data Lake. Build/develop jobs using tools such as Talend or any other ETL tools in order to allow for the data movement. Design Talend, Snowflake, and SQL jobs that will clean, transform, and move the data into the correct places. Make additions to the automated tools that display the data to the end users or simplify the data for consumption by Greensky's own internal processes. Design jobs in such a way that they can be monitored to fix any problems that arise from working on the databases. Build and maintain robust CI/CD pipelines using GitHub to automate the testing and promotion of dbt models, Snowpark procedures, and schema migrations. Implement enterprise-wide security standards using Row Access Policies, Dynamic Data Masking, and Object Tagging to automate compliance. Implement automated data quality checks, schema drift alerts, and lineage tracking to maintain trust and compliance. Mentoring data engineers, code reviews and performance enhancements to maintain engineering standards, governance and cost optimization.


Job Requirements: Master’s degree (U.S. or foreign equivalent) in Computer Information Systems, Information Technology, Computer Science, Computer Engineering, Electrical Engineering or a related field and three (3) years of experience in the job offered or in a related role. Prior experience must include three (3) years of experience with: build and maintain ETL tools to develop jobs for extracting, integrating, and loading data into data warehouse, database environments; using MS-SQL, Snow-SQL, Stored Procedures, Tasks, Warehouse Management, Amazon-AWS/S3, Talend, ETL like SSIS, HTML, XML, JSON and JavaScript, Python; develop data applications, data processing workflows and automated scripts; design and maintain stored procedure, user-defined functions and end-end data pipeline orchestrations across multiple data sources and teams; automate workflows and build complex transformations using automation tools and scheduling; implement incremental loads, CDC patterns, merge based upsert, and end-end data pipelines; build testing strategies including unit tests, data quality checks and integration checks and migrate code using CI/CD pipeline and version control tools like Github. Prior experience must include two (2) years of experience with: conducting Audit processes in cloud warehouses. Prior experience must include one (1) year of experience with: using Data governance tools such as Ovaledge with deep understanding of data catalogs, crawling and profiling meta data, and the data lifecycle process; and using change data capture tools for configuration, management and support of real time data synchronization. Up to 10% travel required. Domestic only.

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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