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Python Jobs in Longmont, CO (NOW HIRING)

Eng Sr - SW

Broomfield, CO · On-site

$123K - $162K/yr

Technology areas include software development, CI/CD, Containerization, C/C++, Rust, Python, and Ruby. The Engineering, Science and Analysis (ESA) Strategic Capabilities Unit comprises the technical ...

Eng Sr Prin - SW

Broomfield, CO · On-site

$123K - $162K/yr

Technology areas include software development, CI/CD, Containerization, C/C++, Rust, Python, and Ruby. The Engineering, Science and Analysis (ESA) Strategic Capabilities Unit comprises the technical ...

Responsibilities : • Design, build, and maintain backend systems and APIs using Python. • Architect distributed systems using AWS services like EKS, EMR, S3 and Athena. • Deploy ML models in ...

A knowledge of Perl and/or Python + Matlab is also a plus. Experience and Education: 7-10 years of relevant work experience Experience in custom circuit design, and Transistor level design Experience ...

Showing results 41-60

Python information

See Longmont, CO salary details

$13

$57

$85

How much do python jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for python in Longmont, CO is $57.95, according to ZipRecruiter salary data. Most workers in this role earn between $47.74 and $65.82 per hour, depending on experience, location, and employer.

What is Python?

Python is a programming language used to write or develop a variety of programs and applications. The software developer community uses Python for programming because it is a simple language that is easy to test and debug. Large internet companies such as Facebook, Google, Reddit, and Amazon use Python, and so do government agencies such as NASA. Programmer professionals have used Python to help build popular software such as Autodesk Maya and other visual design applications. Financial professionals and stock traders use Python when scripting algorithms for economic predictions or computerized trading.

What is a Python developer?

A Python developer is a software programmer who specializes in writing, testing, and maintaining code using the Python programming language. They can work on a variety of projects, including web development, data analysis, machine learning, automation, and scripting. Python developers often collaborate with other team members to design solutions and ensure the functionality and performance of applications. Their responsibilities may also include debugging programs, integrating third-party services, and writing documentation.

What are the key skills and qualifications needed to thrive as a Python developer?

To thrive as a Python Developer, you need strong programming skills in Python, knowledge of software development principles, and typically a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are highly valued, along with certifications like PCEP or PCAP. Effective problem-solving, communication, and teamwork are essential soft skills to excel in collaborative and dynamic environments. These skills collectively ensure the delivery of robust, maintainable code and efficient project outcomes in technology-driven organizations.

What are some common challenges Python developers face when working on large-scale projects?

Python developers often encounter challenges such as managing dependencies, ensuring code scalability, and maintaining performance on large-scale projects. Collaboration with cross-functional teams can add complexity, especially when integrating with systems written in other languages. Adopting best practices like modular code structure, thorough documentation, and automated testing can help mitigate these challenges and streamline teamwork.

What is the difference between Python developer vs Java developer?

AspectPython DeveloperJava Developer
Required CredentialsBachelor's in CS or related field, Python certifications (optional)Bachelor's in CS or related field, Java certifications (optional)
Work EnvironmentWeb development, data science, automationEnterprise applications, Android development, backend systems
Industry UsageTech startups, data analysis firms, automation companiesFinancial services, large enterprise software, mobile app companies

Python developers focus on scripting, data analysis, and web development, often working in startups or data-driven fields. Java developers typically work on large-scale enterprise applications and Android apps. While both roles require programming skills and similar educational backgrounds, their industry applications and project types differ significantly.

Can I get a job with just Python?

A Python developer role typically requires proficiency in Python programming, along with knowledge of related tools like frameworks, libraries, and version control. While Python skills are essential, employers often prefer candidates with experience in problem-solving, data structures, and sometimes additional skills such as databases or web development. Certifications or practical projects can also enhance job prospects, but having only Python may limit opportunities for more advanced or specialized positions.

Does Python have good job opportunities?

Python developers have strong job prospects across various industries such as technology, finance, and data science. Proficiency in frameworks like Django or Flask and knowledge of data analysis tools can enhance employability, with many roles requiring experience in version control and problem-solving skills.

What jobs can I do with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, web developer, automation engineer, and cybersecurity specialist. These jobs often require knowledge of frameworks, libraries, and tools like Django, Flask, Pandas, and TensorFlow, and may involve working in teams or on specific platforms. Python skills are valuable across industries such as technology, finance, healthcare, and research.

Which Python job is in demand?

Python developer roles are highly in demand across industries such as technology, finance, and data science. Skills in frameworks like Django or Flask, along with knowledge of data analysis tools like Pandas and NumPy, enhance job prospects. Certifications and experience with cloud platforms can also improve employability.

What are the most commonly searched types of Python jobs in Longmont, CO?

The most popular types of Python jobs in Longmont, CO are:

What job categories do people searching Python jobs in Longmont, CO look for?

The top searched job categories for Python jobs in Longmont, CO are:

What cities near Longmont, CO are hiring for Python jobs?

Cities near Longmont, CO with the most Python job openings:

Infographic showing various Python job openings in Longmont, CO as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $120,536 per year, or $58 per hour.

Cloud Native Geospatial Scientist

Lynker Corporation

Boulder, CO • On-site, Remote

$80K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 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.
As part of our ongoing growth and expansion, we are seeking a dynamic and experienced Geospatial Scientist to join our growing team.
We work with terabytes of terrain, hydrography, and imagery, and much of the value comes from organizing it so a modeler can actually find and use it. At Lynker, we build the hydrologic and environmental data behind water models used nationwide, and we deliver it the way modern geospatial teams do: as cloud-native data and live products, not static files and one-off analyses. These two roles build that pipeline and the products that run on top of it.
We are hiring two Geospatial Scientists with strong software development skills. One role leans toward data infrastructure: STAC catalogs, cloud-optimized formats (Cloud Optimized GeoTIFFs, GeoParquet, and Zarr), and scalable processing pipelines. The other leans toward operational products: turning that data into hydrologic and environmental layers, services, and regularly updated scientific products. Most of the work is in Python, and a background in hydrology or environmental science is a strong advantage. Candidates with deep strengths in one area and an interest in growing into the other are encouraged to apply; please indicate where your strengths lie.
Responsibilities
Duties of the Geospatial Scientist will include the following:
SHARED RESPONSIBILITIES:
  • Software development: write and maintain clean, tested Python that runs reliably over large areas.
  • Large-scale data: work with large raster and vector datasets using cloud-native formats and storage.
  • Collaboration: build things other teams can use, working with the Platform, Science, Modeling, and Applications teams.

E EMPHASIS ONE: DATA PIPELINES & CLOUD-NATIVE INFRASTRUCTURE
E
  • Catalogs & formats: build and maintain STAC catalogs and cloud-optimized data (COG, GeoParquet, Zarr) so large datasets are searchable and quick to access.
  • Pipelines: write reproducible pipelines that process terrain, hydrography, and imagery at regional to continental scale, using distributed compute.
  • Services: stand up and run the services that publish and tile the data, such as pgSTAC and TiTiler, and keep them reliable and versioned.

EMPHASIS TWO: GEOSPATIAL PRODUCTS & ENVIRONMENTAL ANALYSIS
  • Products: turn data into hydrologic and environmental map layers, and help move models into operational scientific products and forecasts that are regularly updated.
  • Analysis: apply remote sensing and, where appropriate, machine learning to environmental and land-cover mapping.
  • Usable outputs: make outputs that are clear and usable for scientists, partners, and downstream applications.

Qualifications
The Geospatial Scientist selected should have the following:
  • Master's in geospatial science, geography, environmental or earth science, hydrology, computer science, or a related field; or a Bachelor's plus 2 years building geospatial data pipelines, tools, or cloud-native services; or equivalent hands-on experience in place of a degree.
  • Strong Python and solid software habits: Git, testing, and code review.
  • Real experience with cloud-native geospatial formats and services, and hands-on AWS experience (our primary cloud); GCP or Azure experience also welcome.
  • Solid geospatial fundamentals: projections, raster and vector data, and common GIS tools.

The Ideal Geospatial Scientist will have the following:
  • Experience with the STAC ecosystem and tools such as pgSTAC, stac-fastapi, or TiTiler.
  • Distributed processing with Dask, Spark, cloud batch, or Google Earth Engine.
  • The modern geospatial Python stack: xarray, rasterio, geopandas, and formats like COG, GeoParquet, and Zarr.
  • Infrastructure-as-Code and CI/CD for AWS deployments (e.g., Terraform or CloudFormation, Docker, GitHub Actions).
  • Turning models or analyses into operational, regularly updated products or forecasts.
  • Machine learning and remote sensing for environmental or land-cover work.
  • Background in hydrology or environmental science.
  • 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.