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Geospatial Data Engineer Remote Jobs in Boulder, CO

Data Engineer, Senior

Aurora, CO ยท On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247077 Location: Aurora,CO,US Share job via: Share Data Engineer, Senior The Opportunity: As a data engineer, you're excited at the prospect of unlocking the secrets ...

Data Engineer, Senior

Aurora, CO ยท On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0247097 Location: Aurora,CO,US Share job via: Share Data Engineer, Senior The Opportunity: As a data engineer, you're excited at the prospect of unlocking the secrets ...

Data Engineer, Senior

Aurora, CO ยท On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0247096 Location: Aurora,CO,US Share job via: Share Data Engineer, Senior The Opportunity: As a data engineer, you're excited at the prospect of unlocking the secrets ...

... Engineering teams, and mentor team members. * Delivery: keep the platform's data discoverable ... Qualifications The Geospatial Platform Lead selected should have the following: * Bachelor's or ...

Geospatial Platform Lead

Boulder, CO ยท On-site +1

$100K - $135K/yr

... Engineering teams, and mentor team members. * Delivery: keep the platform's data discoverable ... Qualifications The Geospatial Platform Lead selected should have the following: * Bachelor's or ...

Woolpert is an award-winning, global leader in architecture, engineering, and geospatial services ... This position is responsiblefor sensor operation, data processing, and reporting for airborne ...

Algorithm Engineer

Westminster, CO ยท On-site +1

$102K - $136K/yr

The ideal candidate will contribute to solving challenging problems involving imagery, spatial data ... Experience with geospatial, photogrammetric, or remote sensing applications. * Experience with ...

Forward Deployed Engineer (Remote)

Denver, CO ยท Remote

$150K - $200K/yr

Remote, low travel, high ownership. We are looking for someone who can build, understand how ... Troubleshoot and resolve systems, data, integration, and operational issues during deployment and ...

TypeScript Developer

Boulder, CO ยท On-site +1

$109K - $127K/yr

Responsibilities Duties of the TypeScript Developer will include the following: * Front-end ... Spatial data visualization: build interactive maps and views that make complex geospatial data ...

TypeScript Developer

Boulder, CO ยท On-site +1

$80K - $110K/yr

Responsibilities Duties of the TypeScript Developer will include the following: * Front-end ... Spatial data visualization: build interactive maps and views that make complex geospatial data ...

Senior Software Engineer (Remote)

Boulder, CO ยท Remote

$127K - $167K/yr

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... Work with data technologies such as PostgreSQL, MySQL, and Redis to support reliable, scalable ...

Showing results 21-40

Geospatial Data Engineer Remote information

See Boulder, CO salary details

$46.2K

$134.5K

$184.1K

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 Boulder, CO is $134,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,700.00 and $142,600.00 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 are popular job titles related to Geospatial Data Engineer Remote jobs in Boulder, CO?

For Geospatial Data Engineer Remote jobs in Boulder, CO, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Engineer Remote jobs in Boulder, CO look for?

The top searched job categories for Geospatial Data Engineer Remote jobs in Boulder, CO are:

What cities near Boulder, CO are hiring for Geospatial Data Engineer Remote jobs?

Cities near Boulder, CO with the most Geospatial Data Engineer Remote job openings:

Infographic showing various Geospatial Data Engineer Remote job openings in Boulder, CO as of June 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 79% Physical, 13% Hybrid, and 8% Remote job distribution, with an average salary of $134,529 per year, or $64.7 per hour.

Environmental Data Scientist

Lynker Corporation

Boulder, CO โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Overview

Lynker Corporation is a leading provider of innovative solutions in weather and climate science. With a commitment to excellence and a passion for innovation, Lynker leverages cutting-edge technologies and scientific expertise to support the creation and delivery of improved operational weather forecasts.ย As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Environmental Data Scientist to join our growing team.

Responsibilities

Duties of the Environmental Data Scientist will include the following:

  • Data organization: organize, catalog, and structure heterogeneous environmental and geospatial datasets using consistent metadata and controlled vocabularies, with clear provenance, so they can be combined consistently and reproducibly.
  • Analytical logic: help define how rules and analytical logic are represented, versioned, and evaluated against layered datasets, with traceable analytical lineage from inputs to results.
  • Data product design: define what analytical inputs and outputs should contain, including data, results, and metadata, the schemas that represent them, and how those schemas evolve over time.
  • Domain reasoning: bring environmental and hydrologic domain knowledge to bear on how data is weighted, interpreted, and encoded into rules.
  • Validation & QA: develop checks, test cases, and validation logic to confirm that rules produce correct, explainable, and consistent results.
  • Documentation & collaboration: document data schemas, analytical logic, and data sources; collaborate across the Science, Engineering, and Platform teams to keep the system understandable, accessible, and maintainable.
Qualifications

The Environmental Data Scientist selected should have the following:

  • Master's in environmental science, ecosystem science, water resources, hydrology, earth science, environmental data science, or a related field; or a Bachelor's plus 2 years applying data science to environmental problems; or equivalent hands-on experience.
  • Strong environmental and data science background, with the ability to reason about how environmental evidence should be represented and combined.
  • Proficiency in a data science language such as R or Python for data wrangling, analysis, and modeling.
  • A working sense of geospatial data science, including experience with GIS tooling and spatial datasets (e.g., R, ArcGIS, QGIS, Google Earth Engine).
  • Comfort thinking structurally about data schemas, inputs, and outputs, and translating domain logic into clear, testable rules.
  • Strong technical and scientific writing skills.

The Ideal Environmental Data Scientist will have the following:

  • Experience designing data schemas, structured formats, or APIs, and defining inputs and outputs for downstream consumers.
  • Familiarity with rules-based or decision-support systems and how to make their logic transparent and explainable.
  • Experience integrating multiple public and agency data sources (e.g., USGS, NOAA, PRISM) for watershed or environmental analysis.
  • Exposure to machine learning or statistical modeling applied to environmental data.
  • Track record of scientific writing, publication, or open-source contribution.
  • Colorado Front Range presence for periodic in-person collaboration.

About Lynker

Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.

We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities - creatively and effectively.

Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:

  • Comprehensive healthcare for the employee at no monthly cost
  • Healthcare benefit covers medical, prescription drug, dental, and vision
  • Personal Time Off (PTO) Policy plus paid holidays
  • Highly competitive compensation plan regularly calibrated against industry and location benchmarks
  • 401(k) retirement plan with company-matching
  • Employee Stock Ownership Plan (ESOP) - we're all company owners!
  • Flexible spending accounts
  • Employee assistance program (EAP)
  • Short- and long-term disability insurance
  • Life and accident insurance
  • Tuition assistance/Training/Workforce improvement reimbursement per year
  • Spot bonuses for exceptional performance
  • Annual Employee Recognition Awards with bonuses
  • Employee Referral Program
  • Free centralized, self-directed Learning Management System to learn at your own pace
  • Personalized career growth plans for every employee

Lynker is an E-Verify employer.

Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.

ย ย Employment Type: FULL_TIME