Data Science Engineer Visa Sponsorship Jobs in Colorado
Data science engineer roles in Colorado are concentrated in Denver, Boulder, and the tech corridors along the Front Range, where companies like Lockheed Martin, Arrow Electronics, Palantir, and a growing cluster of fintech and aerospace firms actively hire. Colorado's strong university pipeline from CU Boulder and Colorado State feeds demand for sponsored talent in both enterprise and startup environments.
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Posting Date
04/20/2026
Location: 2000 16th Street, Denver, Colorado, 80202, United States of America
Technical Lead - AI & Data Science
The Technical Lead is a critical hybrid role responsible for driving the technical delivery of high-impact AI and Data Intelligence initiatives. This position requires a "player-coach" mindset: you will provide high-level architectural and technical guidance and oversight across multiple concurrent projects while remaining deeply hands-on—writing code, building pipelines, and solving complex technical challenges alongside the team.
You will serve as the technical anchor for the team, ensuring that solutions and products are scalable, secure, and aligned with DaVita’s reference architecture on Google Cloud Platform (GCP).
Essential Duties & Responsibilities
1. Technical Leadership & Oversight (50%)
- Multi-Project Delivery: Oversee the technical execution of multiple workstreams simultaneously (e.g., AI/ML product development and deployment, data pipeline modernization, and GenAI pilots). Ensure technical decisions align with project timelines and business value.
- Architecture & Design: Define and validate system architectures for AI applications, ensuring they meet non-functional requirements (scalability, reliability, security). Lead technical design reviews and approve solution patterns (e.g., RAG architectures, Event-driven pipelines).
- Guidance & Mentorship: Mentor Senior Developers, Data Scientists, and Engineers. Conduct code reviews to ensure best practices in software engineering, CI/CD, and testing are followed.
- Stakeholder Partnership: Partner with Product Managers and Business Stakeholders to translate complex business requirements into technical specifications and roadmaps.
2. Hands-On Engineering (50%)
- Core Development: Actively contribute code to critical paths of the project. Develop and maintain robust data pipelines, API services, etc.
- AI/ML Implementation: Operationalize machine learning models using Vertex AI, building automated pipelines, and integrating models into clinical workflows (e.g., within CWOW or OneView).
- Troubleshooting: Dive into code to resolve critical production issues ("fire-fighting") and perform root cause analysis for complex incidents.
Qualifications
Required Technical Skills (The "Must-Haves")
- Cloud Platforms: Deep expertise in Google Cloud Platform (GCP) services, specifically Vertex AI, BigQuery, Cloud Composer (Airflow), Cloud Run, GKE (Kubernetes), and Cloud Storage.
- Programming: Advanced proficiency in Python (for AI/Data) and SQL.
- AI & ML Ops: Experience with Vertex AI, LLM orchestration (LangChain/etc.), and MLOps practices (model monitoring, feature stores, automated retraining).
- DevOps: Hands-on experience with GitLab CI/CD, Docker, and Terraform.
Experience & Education
- Experience: 7+ years of progressively responsible experience in software engineering or related areas, with at least 2+ years in a Technical Lead or Principal Engineer capacity.
- Education: Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience).
Key Competencies
- Multi-Tasking: Proven ability to context-switch effectively between overseeing high-level strategy for one project and debugging code for another.
- Communication: Ability to explain complex technical trade-offs to non-technical leadership and define "the how" clearly to developers.
- Resilience: Comfortable working in a fast-paced environment where priorities can shift; demonstrates a "can-do" attitude to unblock the team.
Here is what you can expect when you join our Village: A "community first, company second" culture based on Core Values that really matter.
- Clinical outcomes consistently ranked above the national average.
- Award-winning education and training across multiple career paths to help you reach your potential.
- Performance-based rewards based on stellar individual and team contributions.
- A comprehensive benefits package designed to enhance your health, your financial well-being and your future.
- Dedication, above all, to caring for patients suffering from chronic kidney failure across the nation.
About Information Technology
The Information Technology Department designs, develops and maintains software programs required to keep DaVita on the leading edge of medical technology. DaVita's Information Technology Department has both clinic facing and non-clinic facing subgroups that provide our clinician teammates the tools to provide quality patient care. DaVita IT utilizes designers, developers, system architects, project managers, application architects, nurses, trainers and many more professionals to incorporate the technology needs of our clinicians, business and physician customers.
Join us as we pursue our vision "To Build the Greatest Healthcare Community the World has Ever Seen."
Why wait? Explore a career with DaVita today.
What We’ll Provide:
More than just pay, our DaVita Rewards package connects teammates to what matters most. Teammates are eligible to begin receiving benefits on the first day of the month following or coinciding with one month of continuous employment. Below are some of our benefit offerings.
- Comprehensive benefits: Medical, dental, vision, 401(k) match, paid time off, PTO cash out
- Support for you and your family: Family resources, EAP counseling sessions, access Headspace®, backup child and elder care, maternity/paternity leave and more
- Professional development programs: DaVita offers a variety of programs to help strong performers grow within their career and also offers on-demand virtual leadership and development courses through DaVita’s online training platform StarLearning.
LI-SM5
At DaVita, we strive to be a community first and a company second. We want all teammates to experience DaVita as "a place where I belong." Our goal is to embed belonging into everything we do in our Village, so that it becomes part of who we are. We are proud to be an equal opportunity workplace and comply with state and federal affirmative action requirements. Individuals are recruited, hired, assigned and promoted without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, protected veteran status, or any other protected characteristic.
This position will be open for a minimum of three days.
The Salary Range for the role is $98,000.00 - $155,000.00/year. For location-specific minimum wage details, see the following link: DaVita.jobs/WageRates
Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies and experience. DaVita offers a competitive total rewards package, which includes a 401k match, healthcare coverage and a broad range of other benefits. Learn more at https://careers.davita.com/benefits
Colorado Residents: Please do not respond to any questions in this initial application that may seek age-identifying information such as age, date of birth, or dates of school attendance or graduation. You may also redact this information from any materials you submit during the application process. You will not be penalized for redacting or removing this information.
Data Science Engineer Job Roles in Colorado
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Search Data Science Engineer Jobs in ColoradoData Science Engineer Jobs in Colorado: Frequently Asked Questions
Which companies in Colorado sponsor visas for data science engineers?
Several large employers in Colorado have established H-1B visa sponsorship histories for data science engineering roles, including Lockheed Martin, Palantir Technologies, Arrow Electronics, and Dish Network. The Denver-Boulder corridor also hosts regional offices of Google, Amazon, and Salesforce that sponsor data science talent. Aerospace and defense contractors along the Front Range represent a particularly active sponsorship segment for this role type.
Which visa types are most common for data science engineer roles in Colorado?
The H-1B is the most common visa for data science engineers in Colorado, given that the role typically requires a bachelor's degree or higher in computer science, statistics, or a related field, qualifying it as a specialty occupation. Some candidates also enter on OPT or STEM OPT extensions from universities like CU Boulder before transitioning to H-1B sponsorship. O-1A visas are occasionally used for candidates with exceptional research or industry recognition.
Which cities in Colorado have the most data science engineer sponsorship jobs?
Denver and Boulder account for the majority of data science engineer sponsorship activity in Colorado. Denver's status as a regional tech and finance hub drives demand from both established corporations and growth-stage companies. Boulder's concentration of data-intensive startups and proximity to CU Boulder creates additional opportunities. Colorado Springs also has sponsoring employers, primarily in defense and aerospace sectors.
How to find data science engineer visa sponsorship jobs in Colorado?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it possible to search data science engineer roles in Colorado without sifting through positions that don't support international candidates. Because sponsorship willingness isn't always stated in standard job postings, using a platform built around that filter saves significant time. Migrate Mate covers employers across the Denver-Boulder corridor and broader Front Range tech market.
Are there state-specific factors that affect data science engineer sponsorship in Colorado?
Colorado's Equal Pay for Equal Work Act requires employers to disclose compensation ranges in job postings, which gives data science engineer candidates useful context when assessing whether a role meets H-1B prevailing wage requirements before applying. The state's strong aerospace, energy tech, and fintech sectors create steady demand for data science engineering skills. CU Boulder and Colorado State University also produce a steady pipeline of STEM graduates, which shapes the local hiring and sponsorship market.
What is the prevailing wage for sponsored data science engineer jobs in Colorado?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.