Data Science Engineer Jobs in Colorado
Data Science Engineer jobs in Colorado are among the most actively recruited technical roles in the state, concentrated in aerospace and defense, financial technology, and healthcare analytics across Denver, Boulder, and Colorado Springs. Major employers with deep Colorado roots include Lockheed Martin, Charles Schwab, and UCHealth, all of which maintain substantial data engineering teams. The most in-demand specialties are machine learning infrastructure, cloud data pipelines, and predictive modeling for regulated industries. Scan the live roles below and apply to whichever ones fit.
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DESCRIPTION
Do you want to solve business challenges through innovative technology? Do you enjoy working on cutting-edge, scalable services technology in a team environment? Do you like working on industry-defining projects that move the needle?
At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand.
The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon.
Key job responsibilities
- You solve difficult engineering problems with elegant and practical code.
- You take ownership, discussing and delivering on deep technical details with other engineers on the team and across partner teams, collaborating with them to solve challenging problems.
- You create a plans, communicate requirements, negotiate priorities, and clarify what success looks like.
- You define, deliver, and/or implement a variety of high quality, correct, customer focused technical solutions.
- You provide clear and concise verbal and written communication.
- You facilitate the dialogue, asking productive questions, providing recommendations, and fostering a shared understanding to identify risks and meet business needs.
- You participate in reviews of your peers’ work and provide useful and actionable input when submitted.
- You raise the bar on operational excellence while meeting/exceeding system SLAs (e.g. Availability, Latency)
A day in the life
On our team, you will indulge your love of diving deep into complex technical problems, driving incremental system optimizations and raising the bar for operational excellence and development practices. We will look to you to help lift the skills and expertise of those around you.
About the team
The AMC SQL Assistant team is a great fit if you want to work at the intersection of AI and advertising analytics, building products that make complex data accessible to every advertiser. We are on a mission to democratize AMC by enabling advertisers to generate insights through natural language, eliminating the SQL expertise barrier that has historically limited adoption. You will have the opportunity to shape the product from the ground up, working across LLM integration, query generation, and user experience to deliver a truly self-service analytics experience. We are deeply customer-obsessed, meeting with advertisers early and often to ensure our AI-powered solutions solve real problems in ways that feel intuitive and trustworthy. If you thrive in ambiguity, love turning technology into delightful customer experiences, and want your work to directly impact thousands of advertisers, this is the team for you.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CO, Denver - 143,700.00 - 194,400.00 USD annually
DESCRIPTION
Do you want to solve business challenges through innovative technology? Do you enjoy working on cutting-edge, scalable services technology in a team environment? Do you like working on industry-defining projects that move the needle?
At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world’s most beloved brands – customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use cutting-edge technology to solve complex problems and get to see the impact of their work first-hand.
The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks, not years. If this sounds interesting to you, apply and come chart your own path at Amazon.
Key job responsibilities
- You solve difficult engineering problems with elegant and practical code.
- You take ownership, discussing and delivering on deep technical details with other engineers on the team and across partner teams, collaborating with them to solve challenging problems.
- You create a plans, communicate requirements, negotiate priorities, and clarify what success looks like.
- You define, deliver, and/or implement a variety of high quality, correct, customer focused technical solutions.
- You provide clear and concise verbal and written communication.
- You facilitate the dialogue, asking productive questions, providing recommendations, and fostering a shared understanding to identify risks and meet business needs.
- You participate in reviews of your peers’ work and provide useful and actionable input when submitted.
- You raise the bar on operational excellence while meeting/exceeding system SLAs (e.g. Availability, Latency)
A day in the life
On our team, you will indulge your love of diving deep into complex technical problems, driving incremental system optimizations and raising the bar for operational excellence and development practices. We will look to you to help lift the skills and expertise of those around you.
About the team
The AMC SQL Assistant team is a great fit if you want to work at the intersection of AI and advertising analytics, building products that make complex data accessible to every advertiser. We are on a mission to democratize AMC by enabling advertisers to generate insights through natural language, eliminating the SQL expertise barrier that has historically limited adoption. You will have the opportunity to shape the product from the ground up, working across LLM integration, query generation, and user experience to deliver a truly self-service analytics experience. We are deeply customer-obsessed, meeting with advertisers early and often to ensure our AI-powered solutions solve real problems in ways that feel intuitive and trustworthy. If you thrive in ambiguity, love turning technology into delightful customer experiences, and want your work to directly impact thousands of advertisers, this is the team for you.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CO, Denver - 143,700.00 - 194,400.00 USD annually
See All 8 Data Science Engineer Jobs in Colorado
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Find Data Science Engineer JobsData Science Engineer Jobs by City in Colorado
Where Colorado roles are concentrated, by current openings.
Data Science Engineer Job Market in Colorado
A snapshot from current Colorado openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Healthcare & Medical Services
What Colorado Employers Look For
The qualifications that appear most often in data science engineer jobs across Colorado.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Proficiency in Python or R alongside SQL for large-scale data manipulation and modeling
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
- Demonstrated ability to build and deploy machine learning models in production environments
- Familiarity with big data frameworks including Spark, Hadoop, or similar distributed systems
- Strong communication skills for presenting data-driven findings to non-technical stakeholders
Data Science Engineer Jobs in Colorado: Frequently Asked Questions
How do you become a data science engineer in Colorado?
Data science engineering in Colorado has no state-issued license or registration requirement, so the path runs through education and demonstrated technical skill. Most Colorado employers expect at least a bachelor's degree in computer science, mathematics, or a related field, with a master's degree preferred for senior roles. Building a portfolio of real projects, earning cloud certifications from AWS or Google, and gaining experience through internships at Colorado's aerospace, fintech, or healthcare analytics companies are the most direct routes to a first role.
How much do data science engineers make in Colorado?
Data science engineers in Colorado earn a median of about $117,400 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $74,470 for the lowest 10% to over $189,630 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data science engineers in Colorado?
Companies currently hiring data science engineers in Colorado include Gusto, DaVita, and Ibotta, per current listings on Migrate Mate as of October 2026. Colorado's aerospace corridor along the Front Range and the growing fintech presence in Denver have made the state a particularly consistent source of data engineering openings at mid-size and enterprise employers.
Which Colorado cities have the most data science engineer jobs?
Denver, Aurora, and Boulder account for the largest share of data science engineer openings in Colorado. Denver anchors the market through its concentration of financial services, healthcare systems, and technology companies, while Boulder draws roles tied to research institutions and software-focused startups, and Colorado Springs supports openings through its substantial aerospace and defense contractor base.
Are there remote data science engineer jobs in Colorado?
Yes, and more than most fields. About 100% of data science engineer openings tied to Colorado are remote or hybrid as of October 2026, reflecting how well the work translates to distributed teams. Model development, data pipeline engineering, and analytical work are the functions most commonly offered with full remote flexibility, while roles requiring close collaboration with hardware or on-site infrastructure teams tend to require at least a hybrid schedule.
How can I get hired as a data science engineer in Colorado with little or no experience?
The most realistic entry path is landing a data analyst or junior data engineer role at a mid-size Colorado company and building toward a data science engineer title from there. Employers in Denver's healthcare analytics sector, including hospital systems and health insurance companies, regularly hire analysts without deep engineering experience and provide structured growth. Building a portfolio of end-to-end projects on public datasets, earning an AWS or Google Cloud associate certification, and contributing to open-source projects all give candidates a concrete edge when competing against others with limited professional history.
Where can I find and apply to data science engineer jobs in Colorado?
You can find and apply to data science engineer jobs in Colorado on Migrate Mate, which lists current Colorado openings. Search the roles available, find the ones that match your background and preferences, and apply directly to the ones that fit.
See All 8 Data Science Engineer Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
Find Data Science Engineer Jobs