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Geospatial Data Engineer Remote Jobs in Stamford, CT

Mercor

Data Engineer - AI Model Evaluator

New York, NY · Remote

$80/hr

Remote Role Responsibilities * Use frontier AI coding agents to complete and evaluate complex data engineering tasks. * Review model-generated implementations involving ETL pipelines , data ...

New

Talkspace

Senior Data Engineer

New York, NY · Remote

$146K - $180K/yr

The Senior Data Engineer will lead the design and development of scalable, high-performance data ... Flexible PTO and Remote First Environment * Regular team events, including Wellness Workshops and ...

Beam Impact

Senior Data Engineer

New York, NY · On-site +1

$176K - $198K/yr

About the role As a Senior Data Engineer on our Engineering team with a focus on data development ... See a full list of perks at Location - Remote We are a remote-first company, so our team works from ...

KPMG LLP

Data Engineer Contractor - Talent Reserve

New York, NY · On-site +1

$125K - $150K/yr

Data Engineer We are seeking highly skilled Data Engineers Contractors for upcoming assignments. If ... Roles can vary by Hybrid, Remote, Onsite Key Responsibilities: * Data Pipeline Architecture: Design ...

Pfizer

Medical Analytics Data Engineer

New York, NY · On-site +1

$124K - $207K/yr

Relevant certification &/or work experience in data engineering * BA/BS degree with 6+ years ... Remote * Eligible for Relocation Package: No #LI-PFE The annual base salary for this position ...

B Lab

Junior Data Engineer (New York, NY)

New York, NY · On-site +1

$62K - $83K/yr

While this is a remote-first opportunity, the candidate filling this role must be a resident of ... You will absorb data engineering work currently split between the Senior Machine Learning Engineer ...

YO AI Labs

Senior Software Engineer - Remote

New York, NY · Remote

$134K - $176K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll ... Deep understanding of algorithms, data structures, and performance tuning. * Demonstrated ...

1 point system

Healthcare Data Engineer

New York, NY · Remote

$117K - $140K/yr

Maintain a strong knowledge of medical claims, member data, and provider data. Agile Development ... Comfort working with remote team members located in the US, India, or other geographies.

My Remote Jobz

Data Analyst - Automotive

New York, NY · Remote

$100K - $120K/yr

If so, we have an exciting opportunity for you to join a forward-thinking Manufacturing Engineering team as a Data Engineer. What You'll Do In this role, you'll be at the heart of data-driven ...

My Remote Jobz

Data Analyst - Automotive

New York, NY · Remote

$100K - $120K/yr

If so, we have an exciting opportunity for you to join a forward-thinking Manufacturing Engineering team as a Data Engineer. What You'll Do In this role, you'll be at the heart of data-driven ...

Accrete

Senior Platform Engineer (Remote)

New York, NY · Remote

$180K - $200K/yr

We specialize in creating advanced AI solutions that turn complex data into actionable insights ... The Senior Platform Engineer is a senior technical leader responsible for designing, implementing ...

ArcSpan

Software Engineer (Remote)

New York, NY · Remote

ArcSpan's enterprise technology product suite and AI-powered data solutions drive on-site and off ... The Engineer will work closely across ArcSpan's engineering, data science and product development ...

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All JobsGeospatial Data Engineer JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Stamford, CT

Geospatial Data Engineer Remote information

See Stamford, CT salary details

$47.4K

$138.3K

$189.3K

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

As of Aug 22, 2026, the average yearly pay for geospatial data engineer remote in Stamford, CT is $138,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,100.00 and $146,600.00 per year, depending on experience, location, and employer.

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 job categories do people searching Geospatial Data Engineer Remote jobs in Stamford, CT look for?

The top searched job categories for Geospatial Data Engineer Remote jobs in Stamford, CT are:

What cities near Stamford, CT are hiring for Geospatial Data Engineer Remote jobs?

Cities near Stamford, CT with the most Geospatial Data Engineer Remote job openings:

Geospatial Data Engineer Remote jobs near you

Data Engineer - AI Model Evaluator

Mercor

New York, NY • Remote

$80/hr

Full-time

Posted yesterday

New

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Data Engineer (Coding Agent Experience)
Type: Contract
Compensation: $80/hour
Location: Remote

Role Responsibilities

  • Use frontier AI coding agents to complete and evaluate complex data engineering tasks.
  • Review model-generated implementations involving ETL pipelines, data warehouses, analytics platforms, and distributed data systems.
  • Identify bugs, edge cases, scalability issues, and failure modes in model outputs.
  • Compare outputs from multiple frontier models and assess their strengths and weaknesses.
  • Apply professional engineering judgment to realistic data engineering scenarios.

Qualifications

Must-Have

  • 2+ years of professional data engineering experience.
  • Experience building ETL pipelines, data warehouses, analytics platforms, or distributed data systems.
  • Regular use of AI coding agents such as Cursor, Claude Code, Codex, Windsurf, Gemini CLI, or similar tools.
  • Ability to evaluate model-generated data infrastructure and pipeline implementations.

Preferred

  • Experience operating large-scale data platforms.

Compensation & Legal

  • $400 per accepted task.
  • Compensation is tied to accepted work.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.