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Remote Cloud Data Analyst Jobs in Colorado (NOW HIRING)

SAIC

Cloud Native Solutions Engineer

Colorado Springs, CO · Remote

$120K - $160K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Senior Full Stack Cloud ... Create event-driven applications and integrate with data pipelines, analytics, and ingestion ...

Pearson

Data Engineer III

Denver, CO · On-site +1

$117K - $141K/yr

... cloud-native data platforms, data modeling, analytics engineering, and platform governance. This ... Remote Req ID: 25309

UDR

Senior Data Platform Engineer

Highlands Ranch, CO · Remote

$130K - $170K/yr

This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ... serve operational, analytical, and AI use cases. Develop data pipelines using medallion ...

Sentinel

Solutions Architect

Greenwood Village, CO · On-site +1

$110K - $210K/yr

This role is tailored for candidates with a strong focus on on-premise and cloud data center ... This role is a hybrid onsite/remote position requiring candidates to be local to the greater Denver ...

Sentinel

Solutions Architect

Greenwood Village, CO · On-site +1

$110K - $210K/yr

This role is tailored for candidates with a strong focus on on-premise and cloud data center ... This role is a hybrid onsite/remote position requiring candidates to be local to the greater Denver ...

Sentinel

Solutions Architect

Greenwood Village, CO · On-site +1

$110K - $210K/yr

This role is tailored for candidates with a strong focus on on-premise and cloud data center ... This role is a hybrid onsite/remote position requiring candidates to be local to the greater Denver ...

Accenture

IFS Cloud Functional Lead

Denver, CO · On-site +1

$57.50 - $76.75/hr

... analyze, design, and implement IFS Cloud projects and support our partners in business and ... We combine our strength in technology and leadership in cloud, data and AI with unmatched industry ...

Datavail

Digital Marketing Manager

Boulder, CO · On-site +1

Strong writing and communication skills Interest in enterprise technology, cloud, data, analytics, AI, or IT services * Strong organizational skills and attention to detail * Ability to manage ...

Datavail

Digital Marketing Manager

Boulder, CO · On-site +1

Strong writing and communication skills Interest in enterprise technology, cloud, data, analytics, AI, or IT services * Strong organizational skills and attention to detail * Ability to manage ...

Qode

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

... Cloud-native analytics • Multi-account, multi-region data architecture • BI integrations: Power BI, Tableau, QuickSight

Qode

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

... Cloud-native analytics • Multi-account, multi-region data architecture • BI integrations: Power BI, Tableau, QuickSight

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All JobsCloud Data Analyst JobsRemote Cloud Data Analyst JobsRemote Cloud Data Analyst Jobs in Colorado

Remote Cloud Data Analyst information

What is the difference between Remote Cloud Data Analyst vs Cloud Data Engineer?

AspectRemote Cloud Data AnalystCloud Data Engineer
Required CredentialsBachelor's in Data Science, Analytics, or related field; certifications like Microsoft Azure Data Scientist or AWS Data AnalyticsBachelor's or higher in Computer Science, Data Engineering, or related; certifications like AWS Certified Data Analytics or Google Cloud Professional Data Engineer
Work EnvironmentData analysis, reporting, visualization in cloud platforms, often collaborativeDesigning, building, maintaining data pipelines and infrastructure in cloud environments
Employer & Industry UsageUsed across finance, healthcare, marketing, and tech companies for data insightsCommon in tech, finance, and large enterprises for data infrastructure development

The Remote Cloud Data Analyst focuses on analyzing and interpreting data stored in cloud platforms, creating reports and visualizations. In contrast, a Cloud Data Engineer builds and maintains the data infrastructure and pipelines in cloud environments. Both roles require cloud platform certifications and work in similar industries, but their core responsibilities differ significantly.

What are the most commonly searched types of Cloud Data Analyst jobs in Colorado? The most popular types of Cloud Data Analyst jobs in Colorado are:
What are popular job titles related to Remote Cloud Data Analyst jobs in Colorado? For Remote Cloud Data Analyst jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Cloud Data Analyst jobs in Colorado look for? The top searched job categories for Remote Cloud Data Analyst jobs in Colorado are:
What cities in Colorado are hiring for Remote Cloud Data Analyst jobs? Cities in Colorado with the most Remote Cloud Data Analyst job openings:
Remote Cloud Data Analyst jobs near you
Infographic showing various Remote Cloud Data Analyst job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Cloud Native Geospatial Scientist

Lynker Corporation

Boulder, CO • On-site, Remote

$80K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 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.

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