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Geospatial Data Engineer Remote Jobs in Dothan, AL

iQuasar LLC is seeking to fill a 100% remote Senior Data Scientist position. At iQuasar, we strive ... Our growth means exciting career opportunities for talented professionals in engineering, software ...

iQuasar LLC is seeking to fill a 100% remote Senior Data Scientist position. At iQuasar, we strive ... Our growth means exciting career opportunities for talented professionals in engineering, software ...

... engineering teams through advanced 3D modeling and coordination. This role involves creating and ... This position is eligible to be fully remote or for work out of our Lexington, KY HQ or our ...

Geospatial Data Engineer Remote information

See Dothan, AL salary details

$40.5K

$117.9K

$161.4K

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

As of May 29, 2026, the average yearly pay for geospatial data engineer remote in Dothan, AL is $117,923.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $125,000.00 per year, depending on experience, location, and employer.

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 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 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 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 job categories do people searching Geospatial Data Engineer Remote jobs in Dothan, AL look for? The top searched job categories for Geospatial Data Engineer Remote jobs in Dothan, AL are:
Senior Data Scientist

Senior Data Scientist

iQuasar LLC

Fort Novosel, AL • On-site, Remote

$90/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago


Job description

iQuasar LLC is seeking to fill a 100% remote Senior Data Scientist position. At iQuasar, we strive to provide the next generation of cutting-edge technologies. Our growth means exciting career opportunities for talented professionals in engineering, software development, and other key areas. We offer competitive compensation and benefits including Health, Vision, and Dental Insurance, a matching 401k plan, and other benefits given below, excellent training, and a vibrant working environment. Our exceptional employees give us a competitive advantage by innovating solutions with a strong sense of mission and integrity.
One of our clients inneeds a Senior Data Scientist for a contract role.
Position: Senior Data Scientist
Location: Remote
Position Type: Contract
Work Authorization: US Citizen (Ability to obtain Public Trust)
Position Requirements:
• Master's degree, PhD preferred in Statistics, Mathematics, or a related quantitative field, with 5-8+ years of applied data science experience
• Mastery of Python or R, statistical tools such as Stata, SAS and strong SQL
• Expertise with ML algorithms (e.g. model selection, evaluation, feature engineering, etc.)
• Expertise with application of AI to deliver insights with optimal performance, cost savings, etc. using structured, unstructured data
• Expertise with data visualization tools (e.g. Tableau, Matplotlib)
• Experience processing large datasets, deploying LLMs in government cloud data platforms (e.g. Azure ADLS/Databricks/Azure ML, or equivalents)
• Comparative understanding of LLMs (e.g. Claude Code, ChatGPT), and tradeoffs in terms of capabilities, cost, and performance
• Excellent problem-solving skills and the ability to think critically and analytically to address complex research challenges
• Exceptional verbal and written communication skills and a bias toward rigor, clarity, and defensibility over black-box modeling are essential
• Familiarity with FISMA/NIST/Zero Trust security frameworks
• Current Principal Data Scientist (PDS) Certification
If you are interested in this posistion, please send me a copy of your latest resume at with the information requested below: Also, please let me know what time/number is best to call to discuss this great opportunity. In case you are not interested in this position, or this is not the right fit for you, please feel free to share this opportunity with your friends/networks or anyone you know who may be interested in this position. Thank you!
• Availability to start a new job.
• Best Rates
• Contact #
Please don't hesitate to contact me for any question (s) you may have. All employment is decided on the basis of qualifications, merit, and business need.
Best Regards,
Khalid Banday
Sr. Recruitment Professional
iQuasar, LLC6 Pidgeon Hill Drive, Suite 305,
Sterling, VA 20165
Direct:(703) 552-8240
Main: (703) 962-6001 Ext. 604
An Equal Opportunity Employer:
iQuasar, LLC is proud to be an Equal Employment Opportunity Employer. We do not discriminate based on race, religion, color, national origin, political affiliation, sex, sexual orientation, gender identity, age, marital/parental /veteran status, disability, genetic information, membership in an employee organization, retaliation, military service, other non-merit factors, or any other applicable characteristics protected by law.
This is a remote position.
Compensation: $90.00 per hour