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Flexible Python Gis Jobs in Colorado (NOW HIRING)

Geospatial Scientist

Boulder, CO · On-site

$80K - $110K/yr

Proficiency in Python for geospatial data processing and automation. * Experience with Rust, or the ... Experience with GIS and geospatial tooling (e.g., ArcGIS, QGIS, GDAL, PDAL) and standard raster ...

Partner Solutions Architect

Denver, CO · On-site

$64.75 - $85.50/hr

Experience with programming languages including Python, JavaScript, Go, .Net, Java, etc ... Flexible working: We treat our employees as adults. They understand the importance of coming ...

Partner Solutions Architect

Denver, CO · Remote

$120K - $140K/yr

Experience with programming languages including Python, JavaScript, Go, .Net, Java, etc ... Flexible working: We treat our employees as adults. They understand the importance of coming ...

Showing results 41-44

Flexible Python Gis information

What is a flexible Python GIS professional?

A Flexible Python GIS professional is someone who specializes in using Python programming within Geographic Information Systems (GIS) and is adaptable to various tasks, projects, and work environments. They typically work with spatial data, automate geoprocessing workflows, and develop custom GIS solutions using Python libraries such as ArcPy, GeoPandas, or PyQGIS. The 'flexible' aspect often refers to their ability to handle diverse GIS software, work remotely or on different schedules, and collaborate across multiple industries that require geospatial analysis.

What is the difference between Flexible Python Gis vs Python GIS Developer?

AspectFlexible Python GisPython GIS Developer
Required CredentialsBachelor's in GIS, Computer Science, or related field; Python certificationsBachelor's in GIS, Computer Science; Python certifications often preferred
Work EnvironmentGIS firms, government agencies, environmental organizationsGIS firms, tech companies, government agencies
Industry UsageData analysis, mapping, spatial data managementMapping, spatial data analysis, application development
Common Search/ComparisonYesYes

Flexible Python Gis and Python GIS Developer roles share similar skills and work environments, focusing on spatial data and Python programming. The main difference lies in the scope; Flexible Python Gis often emphasizes adaptable GIS solutions, while Python GIS Developer roles may focus more on application development and custom GIS software. Both positions are vital in GIS projects across various industries.

What are the key skills and qualifications needed to thrive as a flexible Python GIS specialist?

To thrive as a Flexible Python GIS Specialist, you need strong proficiency in Python programming, spatial data analysis, and a solid understanding of geographic information systems, often supported by a degree in geography, computer science, or a related field. Familiarity with GIS software like ArcGIS or QGIS, libraries such as GeoPandas and Shapely, and experience with spatial databases are typically required. Excellent problem-solving, adaptability, and communication skills help professionals collaborate with diverse teams and address dynamic project requirements. These competencies ensure efficient geospatial data processing, accurate analysis, and impactful solutions in rapidly evolving GIS environments.

What are some common challenges faced by professionals in flexible Python GIS roles, and how can they be addressed?

Professionals in flexible Python GIS roles often encounter challenges such as integrating diverse geospatial data formats, ensuring code scalability for large datasets, and collaborating remotely with interdisciplinary teams. To address these, it's helpful to stay updated on Python GIS libraries (like GeoPandas and Shapely), maintain clear documentation, and use version control systems for collaborative coding. Regular communication with teammates and adopting standardized workflows can also streamline project progress in flexible or remote environments.
What are the most commonly searched types of Python Gis jobs in Colorado? The most popular types of Python Gis jobs in Colorado are:
What are popular job titles related to Flexible Python Gis jobs in Colorado? For Flexible Python Gis jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Flexible Python Gis jobs in Colorado look for? The top searched job categories for Flexible Python Gis jobs in Colorado are:
What cities in Colorado are hiring for Flexible Python Gis jobs? Cities in Colorado with the most Flexible Python Gis job openings:

Geospatial Scientist

Lynker Corporation

Boulder, CO • On-site

$80K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

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.
 
As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Geospatial Scientist to join our growing team.


Duties of the Geospatial Scientist will include the following:

  • DEM acquisition: national and regional digital elevation models from public and partner sources; track provenance, versions, licensing, and coverage.
  • Processing & cleaning: clean, mosaic, reproject, resample, and condition DEMs (void filling, hydro-enforcement, sink handling) to produce analysis-ready terrain surfaces.
  • Data storage & management: design and maintain storage for large raster and vector datasets, including tiling, cloud-optimized formats (COG), and efficient access patterns for downstream modeling.
  • Code quality & validation: contribute to and validate our geospatial processing tools, much of it written in Rust, writing thorough unit tests and numerical validation of derived terrain products to keep results correct and numerically stable.
  • Vector QA/QC: perform quality assurance and quality control on vector hydrography and derived features (topology, geometry validity, attribute completeness, alignment against reference data).
  • Automation & reproducibility: design reproducible terrain-processing pipelines that can regenerate products consistently as source data evolve.
  • Documentation & collaboration: document methods, data sources, and QA results; collaborate across the Science, Modeling, and Platform teams to keep terrain and hydrography products fit for purpose.

The Geospatial Scientist selected should have the following:

  • Master's in geospatial science, geography, engineering, earth science, computer science, or a related field; or a Bachelor's plus 2 years of relevant experience; or equivalent hands-on experience with DEMs, raster/vector geospatial data, or hydrologic/terrain datasets.
  • Proficiency in Python for geospatial data processing and automation.
  • Experience with Rust, or the demonstrated ability and interest to work within a Rust codebase; our core geospatial processing tooling is written in Rust, and you will help write and maintain its unit tests and validation suites.
  • Experience with GIS and geospatial tooling (e.g., ArcGIS, QGIS, GDAL, PDAL) and standard raster/vector formats.
  • Strong grasp of coordinate reference systems, reprojection, and geospatial data QA/QC practices.
  • Comfort with Git, Linux, and command-line workflows.

The Ideal Geospatial Scientist will have the following:

  • Experience with hydrologic terrain conditioning (hydro-enforcement, flow direction/accumulation, watershed delineation) and hydrography datasets.
  • Familiarity with cloud-optimized geospatial formats (COG, GeoParquet) and large-scale tiled data pipelines.
  • Exposure to hydrologic or flood-inundation modeling (e.g., DEM-driven simulation, flood inundation mapping).
  • Experience with SQL and spatial databases (e.g., PostGIS).
  • Track record of scientific writing, presentation, 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.