AI Data Engineer Visa Sponsorship Jobs in Colorado
Colorado's AI data engineer job market is anchored by Denver's growing tech sector and the Denver-Boulder corridor, where companies like Palantir, Amazon Web Services, and Lockheed Martin actively hire. Employers in aerospace, defense, and enterprise software regularly sponsor H-1B visa and O-1 visas for qualified AI data engineers with strong machine learning and data pipeline experience.
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Get Access To All JobsINTRODUCTION
BillGO is building the next generation of payments. Our vision is to be the payment accelerator for Small Business: an intelligent network that helps businesses get paid faster, operate leaner, and grow with confidence.
We are hiring an AI Data Analytics Engineer to design, build, and ship the data, analytics, and AI capabilities that power BillGO's AI/Data Platform, from trusted data models and self-serve analytics that speed up internal decision-making to AI-native features that turn data into value for Small Businesses. This is a hands-on role that blends analytics engineering with applied AI at the center of BillGO's AI-native strategy.
You will sit within BillGO's Data Platform & Intelligence organization, partnering closely with Application Engineering, Platform Engineering, and Product to move data and AI capabilities from idea to production. Your work turns BillGO's AI Three-Level Framework, Internal Efficiency, Revenue Acceleration, and Customer Value, into shipped, reliable analytics and AI software.
WHAT YOU WILL OWN:
- The design, build, and delivery of data models, analytics pipelines, and AI/ML features embedded in BillGO's payments products and internal tools.
- Warehouse and semantic-layer modeling, metrics definitions, and self-serve analytics that make trusted data accessible across the business.
- Integration of large language models, embeddings, and retrieval-augmented generation (RAG) systems that turn analytics data into intelligent experiences.
- Data pipelines, evaluation frameworks, and monitoring that keep analytics and AI features accurate, safe, and observable in production.
- Prompt engineering, model selection, and build-versus-buy tradeoffs balancing quality, latency, and cost.
- Responsible and secure use of data and AI appropriate for a regulated payments environment.
- Partnership with Application Engineering, Platform Engineering, and Data Platform & Intelligence to embed analytics and AI into existing services and APIs.
WHAT WE ARE LOOKING FOR:
- 3-5 years of experience building and shipping production software or data products, with meaningful experience in analytics engineering and AI/ML feature development.
- Proficiency in Python and SQL, and experience with modern data and AI/ML tooling: data warehouses (e.g., Snowflake, BigQuery, Redshift), transformation frameworks (e.g., dbt), LLM APIs, vector databases, embeddings, and orchestration frameworks such as LangChain, LangGraph, or similar.
- Solid engineering fundamentals: data modeling, APIs, cloud platforms, CI/CD, testing, and observability.
- Understanding of BI and analytics tooling, semantic layers, prompt engineering, RAG, model evaluation, and guardrail or safety practices.
- Experience with data pipelines and both structured and unstructured data.
- Fintech, payments, or regulated-industry experience is a plus but not required.
- Strong collaboration and communication skills; comfortable working cross-functionally with product, platform, and data teams.
INTRODUCTION
BillGO is building the next generation of payments. Our vision is to be the payment accelerator for Small Business: an intelligent network that helps businesses get paid faster, operate leaner, and grow with confidence.
We are hiring an AI Data Analytics Engineer to design, build, and ship the data, analytics, and AI capabilities that power BillGO's AI/Data Platform, from trusted data models and self-serve analytics that speed up internal decision-making to AI-native features that turn data into value for Small Businesses. This is a hands-on role that blends analytics engineering with applied AI at the center of BillGO's AI-native strategy.
You will sit within BillGO's Data Platform & Intelligence organization, partnering closely with Application Engineering, Platform Engineering, and Product to move data and AI capabilities from idea to production. Your work turns BillGO's AI Three-Level Framework, Internal Efficiency, Revenue Acceleration, and Customer Value, into shipped, reliable analytics and AI software.
WHAT YOU WILL OWN:
- The design, build, and delivery of data models, analytics pipelines, and AI/ML features embedded in BillGO's payments products and internal tools.
- Warehouse and semantic-layer modeling, metrics definitions, and self-serve analytics that make trusted data accessible across the business.
- Integration of large language models, embeddings, and retrieval-augmented generation (RAG) systems that turn analytics data into intelligent experiences.
- Data pipelines, evaluation frameworks, and monitoring that keep analytics and AI features accurate, safe, and observable in production.
- Prompt engineering, model selection, and build-versus-buy tradeoffs balancing quality, latency, and cost.
- Responsible and secure use of data and AI appropriate for a regulated payments environment.
- Partnership with Application Engineering, Platform Engineering, and Data Platform & Intelligence to embed analytics and AI into existing services and APIs.
WHAT WE ARE LOOKING FOR:
- 3-5 years of experience building and shipping production software or data products, with meaningful experience in analytics engineering and AI/ML feature development.
- Proficiency in Python and SQL, and experience with modern data and AI/ML tooling: data warehouses (e.g., Snowflake, BigQuery, Redshift), transformation frameworks (e.g., dbt), LLM APIs, vector databases, embeddings, and orchestration frameworks such as LangChain, LangGraph, or similar.
- Solid engineering fundamentals: data modeling, APIs, cloud platforms, CI/CD, testing, and observability.
- Understanding of BI and analytics tooling, semantic layers, prompt engineering, RAG, model evaluation, and guardrail or safety practices.
- Experience with data pipelines and both structured and unstructured data.
- Fintech, payments, or regulated-industry experience is a plus but not required.
- Strong collaboration and communication skills; comfortable working cross-functionally with product, platform, and data teams.
AI Data Engineer Job Roles in Colorado
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Search AI Data Engineer Jobs in ColoradoAI Data Engineer Jobs in Colorado: Frequently Asked Questions
Which companies sponsor visas for AI data engineers in Colorado?
Several Colorado-based and regional employers have a track record of H-1B sponsorship for data and AI engineering roles. These include Palantir Technologies in Denver, Amazon Web Services (with a significant Denver presence), Lockheed Martin in Littleton, and Arrow Electronics in Centennial. Denver's growing fintech and healthtech sectors also generate sponsorship activity from companies like Ping Identity and HealthONE.
Which visa types are most common for AI data engineer roles in Colorado?
The H-1B is the most common visa for AI data engineers in Colorado, as the role typically qualifies as a specialty occupation requiring a relevant bachelor's degree or higher in computer science, data science, or a related field. O-1A visas are an option for candidates with demonstrated extraordinary ability. Canadians and Mexicans may qualify for TN visas under the USMCA if their background aligns with the role's requirements.
How to find ai data engineer visa sponsorship jobs in Colorado?
Migrate Mate is the most targeted way to find AI data engineer visa sponsorship jobs in Colorado. The platform filters roles specifically by sponsorship willingness, so you're not sifting through listings from employers who won't hire internationally. You can filter by state and role to surface Colorado-specific opportunities in Denver, Boulder, and Colorado Springs, saving significant time compared to unfiltered job searches.
Which cities in Colorado have the most AI data engineer sponsorship jobs?
Denver accounts for the largest share of AI data engineer sponsorship opportunities in Colorado, driven by its concentration of tech companies, federal contractors, and financial services firms. Boulder is a secondary hub with strong university ties to the University of Colorado and a dense startup ecosystem in AI and data infrastructure. Colorado Springs also generates openings, particularly from defense and government-adjacent contractors.
Are there state-specific factors AI data engineers should know about the Colorado job market?
Colorado's AI data engineering hiring is heavily influenced by its aerospace and defense industry, which means some roles require security clearances that can complicate or preclude visa sponsorship. On the other hand, the University of Colorado Boulder and Colorado School of Mines produce strong local AI and data talent pipelines, which means employers in those areas are generally familiar with international candidate hiring and sponsorship processes.
What is the prevailing wage for sponsored ai data 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.