Colorado

Data Jobs in Colorado

93 jobs found

Include remote jobs

1mo ago

Data Scientist

Denver Health Denver, CO

Denver, CO

1mo ago Closed

$82k - $127k/yr Full time Analytics Data Analysis Data Analytics

This position is no longer accepting applications (closed Oct 23, 2026).

Job Description

Denver Health is seeking a mission-driven Data Scientist to develop, implement, and evaluate multiple data projects. The role includes data analysis, reporting, and system solutions, along with support for the Epic Cogito suite, in a hybrid work setup based in Denver, Colorado.

Location and Work Arrangement

Denver, CO (hybrid)

This is a hybrid position requiring two days per week on-site at Denver Health, with the remaining three days worked remotely.

Compensation

USD 81,800 - 126,800 per year

Key Responsibilities

Meet with stakeholders to identify business requirements, expected outcomes, and relevant data sources. Collaborate with information technology teams, stakeholders, and subject matter experts to locate, evaluate, integrate, and validate new and existing data sources. Document business requirements, data requirements, data sources, and programming logic related to data requests. Conduct literature reviews. (20%)
Serve as a lead or supporting team member on projects. Periodically review processes, coding, and requirements to identify opportunities for improvement and automation. (10%)
Query databases and design database structures and data models to support acquisition, management, integration, and reporting of data and information using industry standards and guidelines. Compare models using statistical performance metrics. Create and use programs or tools to support data accuracy and integrity. Analyze data using statistical software. (40%)
Create graphs, charts, and other visualizations to communicate analysis results. Deliver formal and informal presentations to leadership and end users through oral and written communication. (30%)
Under general direction, support, analyze, design, build, configure, implement, and provide workflow documentation for the assigned Epic application or third-party software, aligned with organizational policies, procedures, and business operations.
Develop, implement, and evaluate multiple projects in parallel, including gathering requirements, extracting data, performing statistical analysis, creating reports and visualizations, and developing system solutions.

Required Qualifications

Bachelor’s Degree in Health Informatics, Computer Science, Health Services Research, Public Health, Mathematics, Science, or a closely related field.
1-3 years of professional experience working with relational databases, summarizing data, and reporting meaningful results to end users. Prior experience with health relational databases is required.

Preferred Qualification

Epic Certification or proficiency in the Cogito suite of tools.
CABOODLE-EPIC Cogito Data Warehouse - DHHA - Denver Health and Hospital Authority.

Skills, Knowledge, and Abilities

Data literacy with strong analytical and problem-solving skills, including the ability to prepare and transform raw data to deliver insights.
Ability to adapt in an evolving technical environment by identifying and validating appropriate technological solutions for reporting needs.
Strong problem identification, analysis, and resolution skills, using analytical reasoning to define issues, determine root causes, generate options, and implement effective solutions.
Communication that supports collaboration across technical and non-technical teams, tailoring content and delivery as needed.
High initiative and ownership, including recognizing tasks that need completion, seeking additional work, and supporting others.
Business analysis skills, including interviewing business users, analyzing processes and operations, establishing solution objectives, prototyping solutions, and preparing specifications.
Advanced knowledge of Microsoft Office applications (Word, Excel, PowerPoint).
Intermediate SQL skills (or equivalent) and a strong understanding of dimensional and relational database concepts, including primary keys, foreign keys, and joins.
Ability to research and troubleshoot reporting content functionality to ensure data accuracy and confirm daily processing completion.
Proficiency with report writing and data visualization tools, including Excel, Tableau, and/or Microsoft SSRS.

Technologies

Epic Cogito and Epic Cogito suite of tools
Epic Certification
Epic and Epic Data Warehouse
Epic application
SQL
Microsoft Office (Word, Excel, PowerPoint)
Excel
Tableau
Microsoft SSRS

Department

Primary Care Support

Benefits

Paid time off starting at 28 days per year, including vacation, personal/sick time, and 7 Holidays.
100% paid parental leave up to 6 weeks.
Immediate eligibility for retirement plans with employer contribution up to 9.5%.
Generous medical, dental, and vision plans, plus employer-paid disability and life insurance.
Comprehensive well-being programs, including an on-site employee fitness center on Denver Health’s main campus and the RESTORE Center.
Free RTD EcoPass for public transportation.
Childcare discount programs and exclusive perks on large brands, travel, and more.
Tuition reimbursement & assistance.
Education, coaching, and professional development opportunities through the Workforce Development Center (WFDC) supporting internal career growth and advancement pathways.
Professional clinical advancement program and shared governance.
Public Service Loan Forgiveness (PSLF) eligible employer, with free student loan coaching and assistance navigating the PSLF program.
National Health Service Corps (NHCS) and Colorado Health Service Corps (CHSC) eligible employer.

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1mo ago

Data Engineer

Intrinsic Colorado Springs, CO

Colorado Springs, CO

1mo ago Closed

$95k - $160k/yr Full time Analytics Business Intelligence Data

This position is no longer accepting applications (closed Oct 23, 2026).

Job Description

Intrinsic is hiring a Data Engineer to join a development team building modern simulation platforms for the Aerospace industry. This hybrid role in Colorado Springs, CO focuses on turning large, complex simulation data into clear insights and decision support. If you want to work with realistic simulation environments, collaborate with stakeholders on metrics, and deliver high quality features for clients, this position offers a strong growth path alongside a dynamic, high-performing team.

You will help formulate insights from simulation outputs that emulate real world systems and platforms, then create visualizations that communicate key metrics quickly and intuitively from large, heterogenous data sets. Accuracy matters, so you will also verify simulation models and scenarios while partnering with teams to meet simulation and production system requirements.

Responsibilities

Develop data insights from realistic simulation environments emulating real world systems and platforms
Collaborate with project stakeholders to understand desired simulation and production system requirements and metrics
Create visualizations that rapidly communicate key metrics from large, heterogenous data sets and formats
Verify accuracy of simulation models and scenarios
Contribute within a dynamic, adaptable, high performing team
Continuously grow skills using the latest technology
Deliver high quality product features exceeding client expectations

Requirements

Bachelor's degree in Computer Science (or similar technical field) or equivalent practical experience
DoD Top Secret Clearance (Required) and US Citizenship
4+ years of experience with Python
Experience with the ELK stack
Experience with CI/CD and DevOps tools
3+ years of relevant experience on an Agile software development team
Experience building, testing, and deploying software
Experience with Git in a team environment
Desire and interest to learn and grow outside core job requirements

Technologies

Python, ELK stack, CI/CD, DevOps, Git
Helm chart deployments
Agile, Lean, Continuous Delivery, Extreme Programming (XP)

Benefits

401(k) and 401(k) matching
Health insurance, dental insurance, and vision insurance
Flexible schedule
Paid time off
Yearly bonus

Job type: Full-time (Monday to Friday). Pay: $95,000.00 to $160,000.00 per year. Work location: Hybrid remote in Colorado Springs, CO 80909 with commute capability required. Security clearance: Top Secret (Required).

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1mo ago

Geospatial Data Scientist

National Experienced Workforce Solutions Denver, CO

Denver, CO

1mo ago Closed

$66 - $66/hr Full time ArcGIS Enterprise Arcgis Online Arcgis Pro

This position is no longer accepting applications (closed Oct 22, 2026).

Job Description

Join a Denver-based role supporting development of a modern geospatial data management framework for Reclamation.

Location: Denver, CO (onsite)
Compensation: USD 66 per hour
Experience: 10+ years minimum
Education: MA/MS Degree in Water resources or natural resources

Responsibilities

Support development and implementation of a modern geospatial data management framework for Reclamation
Contribute to Remote Sensing Data Catalog (RSDC)
Design and pilot geospatial data management workflows
Support data management training
Inform cloud migration planning for Enterprise GIS and related geospatial analytics environments
Review and inform RSDC application development (30%)
Review and inform RSDC requirements and remote sensing data management decision criteria (20%)
Design geospatial management workflows across platforms (20%)
Support RSDC training development and delivery (15%)
Support cloud migration planning for BORGIS and Azure Virtual Desktop configurations for geospatial analytics and imagery processing workflows (15%)

Requirements

Minimum 10 years of experience in geographic information systems and geospatial data management OR MA/MS Degree in Water resources or natural resources with minimum additional experience of 10 years in geographic information systems and geospatial data management
Experience with Windows and Microsoft productivity tools: MS Word, MS Excel, MS PowerPoint, MS Teams, MS Outlook
Experience with Adobe Acrobat
GIS software products from Esri, Inc., including:
- ArcGIS Enterprise
- ArcGIS Image Server
- ArcGIS Pro
- ArcGIS Online

Technologies

Windows
MS Word, MS Excel, MS PowerPoint, MS Teams, MS Outlook
Adobe Acrobat
ArcGIS Enterprise
ArcGIS Image Server
ArcGIS Pro
ArcGIS Online
Azure Virtual Desktop
BORGIS

Travel

Overnight travel: 1 or 2 trips for 3-5 days each
Air travel anticipated: 1 or 2 trips (3-5 day duration)

Program Notes

An “Enrollee” is not a federal employee, nor an employee of NEW Solutions
An “Enrollee” is a participant in a grant program established through a Cooperative Agreement funded by the agency and administered by NEW Solutions
Positions listed do not guarantee employment for any definite period
Enrollment in the Experienced Worker Programs administered by NEW Solutions is temporary
The enrollment relationship between NEW Solutions and the Enrollee is an “at-will” relationship, with rights for the Enrollee and the Agency/New Solutions to terminate the relationship during the enrollment period

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1mo ago

Research Data Scientist, Cloud Demand Forecasting and Capacity Planning

Google Thornton, CO

Thornton, CO

1mo ago Closed

$147k - $210k/yr Full time Data Data Analysis Data Analytics

This position is no longer accepting applications (closed Oct 22, 2026).

Job Description

Google’s Cloud Capacity Data Science (CCDS) team is building scalable data science solutions that help improve how Google Cloud forecasts demand and plans capacity. In this onsite role in Thornton, CO, you’ll develop forecasting models and capacity planning solutions designed to support Cloud’s business objectives and help deliver a strong obtainability experience for customers. You’ll also contribute to advanced machine-learning approaches for forecasting organic and inorganic demand across multiple Cloud products, while using operations research methods to recommend actions based on future demand.

Compensation: $147,000 - $210,000 (USD) per year + 15% bonus target + equity + benefits.

What you’ll do

Develop, maintain, and improve forecasting models and capacity planning solutions to support Cloud’s goals.
Enable efficient use of Cloud infrastructure while working toward service level objectives for Cloud customers.
Drive end-to-end technical work as an individual contributor, making larger, mostly independent contributions toward a larger team goal with minimal assistance.
Create the methodologies needed to address ambiguous problem spaces, owning solutions that extend beyond analysis, including supporting launches, cross-functional collaboration, and documentation.
Partner with engineers and subject matter experts, integrating with a cross-disciplinary team and demonstrating working knowledge across data science and related technical areas.
Deploy and contribute to advanced machine-learning models that forecast organic and inorganic demand for many Cloud products.
Use operations research methods to develop algorithms that recommend actions based on forecasts of future demand.
Collaborate with a multi-disciplinary group, including engineers, program managers, and product managers, to optimize a fast-growing fleet at massive scale and flexible configuration.

Requirements

Master’s degree in a quantitative field such as Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related discipline.
3+ years of work experience using analytics to solve product or business problems, including coding (e.g., Python, R, SQL) and querying databases or conducting statistical analysis, or a PhD.

Preferred qualifications

PhD in Operations Research, Industrial Engineering, Statistics, or a related field.
5+ years of analytics experience solving product or business problems, including coding (Python, R, SQL), querying databases, or statistical analysis, or a PhD.
4+ years of relevant experience (e.g., as a data scientist), including advanced analytics applied to planning and infrastructure problems.
Experience designing and building statistical forecasting models.
Experience designing and building machine learning models.
Excellent problem framing, problem-solving, and project management skills.

Location

Thornton, CO (onsite)
Atlanta, GA, USA

Tech stack: Python, R, SQL.

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1mo ago

Data Scientist Asc - E1

Lockheed Martin Aurora, CO

Aurora, CO

1mo ago Closed

$75k - $140k/yr Full time Analytics Artificial Intelligence Data

This position is no longer accepting applications (closed Oct 19, 2026).

Job Description

Data Scientist position at Lockheed Martin Space focused on exploratory research, statistical analysis, and machine learning to support mission outcomes.

Responsibilities

Engage with customers to understand and translate collection priorities into technical strategies, then assess strategy performance.
Develop requirement traceability matrices that connect customer needs to specific capabilities and performance parameters.
Analyze customer feedback and collection results to refine planning models and improve future mission effectiveness.
Collaborate with customers to create collection plans that maximize value within operational constraints.
Maintain documentation of customer requirements, constraints, and preferences to support consistency across missions.
Review historical collection data to identify coverage gaps and recommend configurations to address shortfalls.
Act as a technical liaison between customers and engineering teams to ensure requirements are implemented correctly.
Conduct exploratory research and analysis to find novel and meaningful patterns in data.
Apply statistical methods to reject or accept hypotheses regarding relationships or latent predictive factors discovered through the work.
Use tools and numerical computing systems such as GPU processing, distributed computing, highly parallel coding, and cloud computing to deliver results.
Work with datasets using applied statistics and machine learning algorithms, including exploratory data analysis to identify relationships, patterns, and trends.
Develop predictive models and new algorithms to address data and business problems.
Interpret model outputs using knowledge of math and statistics, and provide actionable recommendations supported by effective visualizations.

Requirements

Demonstrated ability to cultivate and develop effective customer relationships and to work with senior technical management.
Ability to learn and troubleshoot complex systems.
Basic programming skills using UNIX/LINUX.
Active TS/SCI clearance with CI polygraph.
Previous experience working with a customer base on programs involving complex systems, software development, and issue resolution.
Experience conducting technical investigations and presenting results to a leadership team.
Strong organizational and communication skills.
Strong analytical and problem-solving skills.
Enjoys teamwork and collaborating with people across different functions.
Ability to work effectively in a fast-paced, rapidly changing environment.
Bachelor's degree from an accredited college in a related discipline, or equivalent experience/combined education.

Technologies

UNIX/LINUX
GPU processing
Distributed computing
Highly parallel coding
Cloud computing
Machine learning
Visualization
System modelling and simulation
Text mining
Natural language processing
Deep learning
Optimization

Benefits

Medical
Dental
Vision
Flexible work arrangements and schedules (e.g., 4x10)
401(k) match
Paid time off
Holidays
Parental Leave
EAP
Flexible Spending Accounts
Education Assistance
Life Insurance
Short-Term Disability
Long-Term Disability
Annual short-term and/or long-term incentive compensation programs may be offered depending on the position

Pay information

Full-Time Salary Range: $75,400 - $140,000 per year
Salary range listed on the requisition

Location: Aurora, CO (onsite)

Clearance: Active TS/SCI with CI polygraph

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1mo ago

Senior Data Engineer

Janus Henderson Denver, CO

Denver, CO

1mo ago Closed

$140k - $149k/yr Full time Senior Azure Data Factory Azure Data Platform

This position is no longer accepting applications (closed Oct 19, 2026).

Job Description

Janus Henderson is hiring a Senior Data Engineer to set technical direction for a subsystem or cross-product concern within the Janus Henderson Data Platform. The role focuses on designing resilient, production-grade data products and platform capabilities across multiple domains, including applied AI tooling when appropriate.

Key Responsibilities

Own the design and delivery of complex data engineering capabilities across subsystems or cross-product concerns, including setting technical direction within the role’s area.
Design systems that span multiple products or domains, such as entitlement models, concordance frameworks, semantic layers, ingestion frameworks, or reusable platform services.
Provide deep technical expertise in at least one core platform pillar, including Snowflake internals, dbt architecture, orchestration, CDC/streaming, or equivalent platform capabilities.
Build reusable engineering assets, including dbt macros, custom materialisations, Python packages, ingestion frameworks, MCP tooling, or other shared libraries where the standard toolkit does not fit.
Diagnose and resolve performance, reliability, and cost issues across query-plan, pipeline, and platform levels.
Assess architectural trade-offs, including build-versus-buy choices and second-order effects on downstream reporting, analytics, operations, and regulatory processes.
Design and deliver production-grade AI-enabled tooling where appropriate, including agents, retrieval pipelines, MCP servers, or other applied AI capabilities with guardrails for a regulated environment.
Own quality gates, observability, and incident learning for the scope of work, including postmortems, root cause analysis, and continuous improvement actions.
Mentor junior engineers and data engineers, run design reviews, and establish standards that others can apply consistently.
Communicate technical trade-offs clearly to architecture, product, operations, compliance, and other non-technical stakeholders.
Collaborate on source code through DevOps practices, including deep understanding of branching strategies and releasing production-quality code through change control processes.
Carry out other duties as assigned.

Required Qualifications

Deep expertise in at least one data platform pillar, such as Snowflake internals, dbt architecture, orchestration, CDC/streaming, or distributed data processing.
Advanced SQL skills, including query-plan analysis, performance tuning, cost optimization, and troubleshooting on cloud data platforms.
Strong Python engineering capability, with experience building reusable frameworks, packages, or libraries rather than only one-off scripts.
Proven ability to design systems spanning multiple products, domains, or platform concerns, with awareness of downstream impacts and operational risk.
Experience making technical trade-offs under delivery pressure, including scope, quality, build-versus-buy, and maintainability decisions.
Strong DevOps experience, including branching strategies, and familiarity with Azure Portal/Keyvault/Appreg concept.
Experience with Microsoft Azure services such as Azure Data Factory, Azure Key Vault, and Azure DevOps for CI/CD and infrastructure integration.
Working knowledge of financial services data domains, including the ability to understand hand-offs between Investments, Distribution, Operations, Regulatory, Corporate, and Finance processes.
Ability to write clear design documentation and present trade-offs to non-technical stakeholders while influencing engineering standards beyond the immediate product area.
Experience with production-grade AI-enabled tooling, including agents, RAG/retrieval pipelines, MCP servers, or AI-assisted engineering workflows.
Must be able to use vscode copilot for development work.
Experience mentoring engineers, leading design reviews, and supporting technical decision-making across a team or guild.

Technologies

SQL
Python
Snowflake
dbt
Orchestration
CDC/streaming
MCP tooling, MCP servers
Agents, retrieval pipelines, RAG/retrieval pipelines
Azure Portal, Keyvault, Appreg
Azure Data Factory
Azure DevOps
CI/CD
vscode copilot

Benefits

Hybrid working and reasonable accommodations
Generous Holiday policies
Excellent Health and Wellbeing benefits including corporate membership to Wellhub
Paid volunteer time to step away from your desk and into the community
Support to grow through professional development courses, tuition/qualification reimbursement, and more
Maternal/patal leave benefits and family services
Unique employee events and programs including a 14er challenge
Complimentary beverages, snacks, and all employee Happy Hours
Annual Bonus Opportunity (annual discretionary bonus award from the profit pool, funded based on Company profits)

Nice to Have Skills

Experience with dbt Core/Cloud, including custom macros, packages, tests, contracts, or materialisations.
Experience designing or operating semantic layers, entitlement engines, concordance models, data contracts, or reusable platform services.
Understanding of AI/LLM risk in a regulated environment, including data egress, auditability, model non-determinism, and appropriate guardrails.
Knowledge of data governance frameworks, lineage tooling, Data Mesh principles, and distributed data ownership.
Certifications or demonstrable advanced capability in Snowflake, Databricks, dbt, or equivalent cloud data platform technologies.

Supervisory Responsibilities

No supervisory responsibilities.

Potential for Growth

Mentoring
Leadership development programs
Regular training
Career development services
Continuing education courses

Compensation and Application Details

Location: Denver, CO (hybrid)

Salary: USD 140,000 - 149,000 per year (base salary range estimated for the role; actual pay may differ).

Posting availability: This position will be open through October 15, 2026.

Colorado law requires an estimated closing date for job postings. If you see this date has passed, you are still encouraged to apply.

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1mo ago

Staff Machine Learning Engineer - Generative AI

Xometry Denver, CO

Denver, CO

1mo ago Closed

$140k - $230k/yr Full time AI Ai Ml Artificial Intelligence

This position is no longer accepting applications (closed Oct 18, 2026).

Job Description

Xometry is hiring a Staff Machine Learning Engineer to lead Generative AI work focused on manufacturing-related document understanding and structured data extraction.

Responsibilities

Set technical direction for the Generative AI team, define best practices, and support high-impact innovation
Shape the AI roadmap by identifying high-value opportunities to apply generative AI across the marketplace
Build and deploy large language and generative models for multimodal document processing and structured data extraction
Investigate methods to combine text, images, and 3D data for smarter and faster solutions
Design data pipelines and training workflows for large, complex datasets
Use AWS and other platforms to train, optimize, and deploy models into production at scale
Collaborate with engineers, product leaders, and business teams to integrate AI solutions into real products and customer workflows
Mentor teammates on advanced ML methods, model architecture, and engineering best practices to raise team performance
Track generative AI and deep learning research and translate new ideas into production implementations

Requirements

Bachelor’s degree required; M.S. or PhD in Computer Science, Machine Learning, AI, or related field is a plus
5+ years of experience in machine learning or data science, with deep expertise in generative models, LLMs, or computer vision
Proven experience building large-scale language and vision models including Transformers, GPT, and VLMs
Hands-on experience with multimodal data: text, images, and 3D
Proficiency in Python and key ML libraries: PyTorch, TensorFlow, pandas, NumPy
Strong foundation in probability, statistics, and optimization for generative modeling
Experience deploying ML/AI models using cloud microservice architecture (AWS preferred)
Solid software engineering skills, including OOP, testing, version control, CI/CD best practices, and IaC (terraform preferred)
Ability to communicate effectively across organizational levels, including executives, product managers, and stakeholders
Background in manufacturing or supply chain is a plus (curiosity and drive are emphasized)
Must be a U.S. Citizen or Green Card holder for ITAR compliance

Technologies

AWS, Python
PyTorch, TensorFlow
pandas, NumPy
Transformers, GPT, VLMs
CI/CD, IaC, terraform

Benefits

401(k) match
Medical, dental and vision insurance
Life and disability insurance
Generous paid time off including vacation, sick leave, floating and fixed holidays
Maternity and bonding leave
EAP
Other wellbeing resources