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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Get Access To All JobsABOUT COMPANY
Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth.
Position Summary
Data Insights Engineer
$65 pr hr on W2
Greenwood Village Colorado - 4 days onsite in a week
Work split: ~70% front-of-house (dashboard development, stakeholder presentations, readouts) / ~30% back-of-house (ETL support, table builds, data quality validation)
MUST-HAVE QUALIFICATIONS
- Tableau: 2–3+ years; LODs, parameters, performance optimization, stakeholder-facing dashboards. Power BI is not a fit.
- SQL Proficient: window functions (PARTITION BY), CTEs, UNION ALL, complex joins. Must be able to write queries and read/understand a legacy codebase.
- Stakeholder Communication: Able to present dashboards to leadership, manage competing priorities, and communicate trade-offs clearly.
- Big-Picture Thinking: Must articulate how a project affects the greater org and customer experience — now, in 60 days, in 6 months.
- Self-Starter: Manages own time, owns scoping and execution, surfaces blockers early.
STRONGLY PREFERRED
- Experience with big data environments (Spark, Hive, S3 or similar) — some dashboards have 30M+ rows.
- Comfort with ETL processes (table builds, pipeline troubleshooting, data quality validation).
- Digital analytics experience — customer journeys, funnels, containment, adoption metrics.
- Dimensional modeling concepts (tenure, segmentation, package type as reusable dimensions).
- Data quality validation and source reconciliation experience.
NICE TO HAVE
- AI/ML tools experience — team uses Quiero (AI/ML experience is a nice-to-have).
- Background in statistics or data science.
- IVR, chat, or bot data experience.
- UX principles familiarity.
- Jira / Agile workflow experience.
Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.
ABOUT COMPANY
Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth.
Position Summary
Data Insights Engineer
$65 pr hr on W2
Greenwood Village Colorado - 4 days onsite in a week
Work split: ~70% front-of-house (dashboard development, stakeholder presentations, readouts) / ~30% back-of-house (ETL support, table builds, data quality validation)
MUST-HAVE QUALIFICATIONS
- Tableau: 2–3+ years; LODs, parameters, performance optimization, stakeholder-facing dashboards. Power BI is not a fit.
- SQL Proficient: window functions (PARTITION BY), CTEs, UNION ALL, complex joins. Must be able to write queries and read/understand a legacy codebase.
- Stakeholder Communication: Able to present dashboards to leadership, manage competing priorities, and communicate trade-offs clearly.
- Big-Picture Thinking: Must articulate how a project affects the greater org and customer experience — now, in 60 days, in 6 months.
- Self-Starter: Manages own time, owns scoping and execution, surfaces blockers early.
STRONGLY PREFERRED
- Experience with big data environments (Spark, Hive, S3 or similar) — some dashboards have 30M+ rows.
- Comfort with ETL processes (table builds, pipeline troubleshooting, data quality validation).
- Digital analytics experience — customer journeys, funnels, containment, adoption metrics.
- Dimensional modeling concepts (tenure, segmentation, package type as reusable dimensions).
- Data quality validation and source reconciliation experience.
NICE TO HAVE
- AI/ML tools experience — team uses Quiero (AI/ML experience is a nice-to-have).
- Background in statistics or data science.
- IVR, chat, or bot data experience.
- UX principles familiarity.
- Jira / Agile workflow experience.
Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.
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 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.
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