Analytics Engineer Visa Sponsorship Jobs in Colorado
Analytics engineer visa sponsorship jobs in Colorado are concentrated in Denver and Boulder, where companies like Palantir, Ibotta, and Arrow Electronics run data-heavy operations. The state's growing tech sector, anchored by a mix of defense contractors, fintech firms, and SaaS companies, creates consistent demand for analytics engineers with strong SQL, dbt, and data modeling skills.
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Get Access To All JobsFor over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well.
For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you.
Angi at a glance:
- Founded in 1995 as Angie’s List and rebranded in 2021
- Global company with 9 brands in 8 countries and employees worldwide
- Homeowners have turned to us for 300 million home projects and counting
About the team
The Principal Analytics Engineer for Product Analytics will shape how product data is transformed and consumed, ensuring that both human analysts and AI agents receive consistent metrics, faster iteration, and trustworthy answers. This role is central to designing and evolving an analytics architecture that radically shortens the distance from complex business questions to validated insights. As a Principal leader, you will be the connective tissue across data engineering, analytics, and product teams—architecting pipelines, semantic layers, and quality practices so they work as a singular, cohesive system.
The ideal candidate is a visionary technical simplifier with deep expertise in modern data stacks, a passion for developer/analyst velocity, and a proven ability to enable partner teams. You will play a dual role: empowering human analysts to spend less time debugging and more time driving strategy, while simultaneously hardening our data layer into a load-bearing, semantic infrastructure that AI tools can query accurately and safely.
What you’ll do
Architecture & Semantic Layer Strategy
- Data Product Ownership: Design, build, and evolve high-scale dbt models that transform raw upstream inputs into clean, well-documented, analytics-ready data products with clear contracts and ownership.
- Agent-Safe Infrastructure: Implement critical guardrails, clear grain definitions, meaningful metadata descriptions, and approved access paths so AI tools and agents can query data accurately without bypassing governance.
- Semantic Evolution: Shape how metrics are defined and exposed so that analysts, dashboards, and AI tools all return the same answer to the same question, turning the semantic layer into production-grade infrastructure for AI-powered BI.
Operational Excellence & Velocity
- Friction Elimination: Translate recurring analyst pain points—such as ambiguous metrics, broken joins, or undocumented fields—into durable, reusable models, patterns, and shared interfaces.
- Quality & Governance Standards: Set and hold the bar for what "done" means for a data product, embedding robust testing, freshness expectations, data catalogs, and metadata ownership into the development lifecycle.
- Cross-Functional Alignment: Coordinate across data platforms and product teams to map use cases, eliminate duplicate work, surface technical tradeoffs early, and drastically reduce cycle times from business question to trusted answer.
Leadership & Enablement
- Shared Frameworks: Collaborate with data and analytics engineering peers to establish and maintain global patterns, package management, and repository best practices.
- Mentorship & Review: Raise the collective engineering bar across the organization by running technical reviews, hosting office hours, and leading pair-programming sessions with domain analysts and engineers.
Who you are
Minimum Qualifications
- 12+ years of experience in analytics engineering, data engineering with heavy analytics partnership, or an equivalent technical data role.
- Expert-level SQL and strong Python proficiency for advanced data work, with a proven track record of delivering on a modern data stack (transformation-as-code, orchestration, warehouses, and BI).
- Experience with data governance tooling, including data catalogs, lineage systems, and policy-aware access patterns.
- Exceptional cross-functional leadership skills with a history of influencing engineering and product teams without direct authority.
- Strong technical communication skills, with the unique ability to explain complex modeling decisions to a product analyst without jargon, and to a platform engineer without oversimplifying.
Preferred Qualifications
- Hands-on experience working directly with dbt and Snowflake in a high-scale environment.
- Practical experience implementing data mesh architectures or federated data ownership models.
- Exposure to AI/LLM tooling as a data consumer, with a strong conceptual grasp of what clean, well-structured data requires to be successfully queried by AI agents and assistants.
We value diversity
We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.
Compensation & Benefits
- The salary band for this position ranges from $165,000 - $240,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living.
- This position will be eligible for a competitive year end performance bonus & equity package.
- Full medical, dental, vision package to fit your needs
- Flexible vacation policy; work hard and take time when you need it
- Pet discount plans & retirement plan with company match (401K)
- The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world
LI-Remote
For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well.
For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we're an amazing place to call home. We can't wait to welcome you.
Angi at a glance:
- Founded in 1995 as Angie’s List and rebranded in 2021
- Global company with 9 brands in 8 countries and employees worldwide
- Homeowners have turned to us for 300 million home projects and counting
About the team
The Principal Analytics Engineer for Product Analytics will shape how product data is transformed and consumed, ensuring that both human analysts and AI agents receive consistent metrics, faster iteration, and trustworthy answers. This role is central to designing and evolving an analytics architecture that radically shortens the distance from complex business questions to validated insights. As a Principal leader, you will be the connective tissue across data engineering, analytics, and product teams—architecting pipelines, semantic layers, and quality practices so they work as a singular, cohesive system.
The ideal candidate is a visionary technical simplifier with deep expertise in modern data stacks, a passion for developer/analyst velocity, and a proven ability to enable partner teams. You will play a dual role: empowering human analysts to spend less time debugging and more time driving strategy, while simultaneously hardening our data layer into a load-bearing, semantic infrastructure that AI tools can query accurately and safely.
What you’ll do
Architecture & Semantic Layer Strategy
- Data Product Ownership: Design, build, and evolve high-scale dbt models that transform raw upstream inputs into clean, well-documented, analytics-ready data products with clear contracts and ownership.
- Agent-Safe Infrastructure: Implement critical guardrails, clear grain definitions, meaningful metadata descriptions, and approved access paths so AI tools and agents can query data accurately without bypassing governance.
- Semantic Evolution: Shape how metrics are defined and exposed so that analysts, dashboards, and AI tools all return the same answer to the same question, turning the semantic layer into production-grade infrastructure for AI-powered BI.
Operational Excellence & Velocity
- Friction Elimination: Translate recurring analyst pain points—such as ambiguous metrics, broken joins, or undocumented fields—into durable, reusable models, patterns, and shared interfaces.
- Quality & Governance Standards: Set and hold the bar for what "done" means for a data product, embedding robust testing, freshness expectations, data catalogs, and metadata ownership into the development lifecycle.
- Cross-Functional Alignment: Coordinate across data platforms and product teams to map use cases, eliminate duplicate work, surface technical tradeoffs early, and drastically reduce cycle times from business question to trusted answer.
Leadership & Enablement
- Shared Frameworks: Collaborate with data and analytics engineering peers to establish and maintain global patterns, package management, and repository best practices.
- Mentorship & Review: Raise the collective engineering bar across the organization by running technical reviews, hosting office hours, and leading pair-programming sessions with domain analysts and engineers.
Who you are
Minimum Qualifications
- 12+ years of experience in analytics engineering, data engineering with heavy analytics partnership, or an equivalent technical data role.
- Expert-level SQL and strong Python proficiency for advanced data work, with a proven track record of delivering on a modern data stack (transformation-as-code, orchestration, warehouses, and BI).
- Experience with data governance tooling, including data catalogs, lineage systems, and policy-aware access patterns.
- Exceptional cross-functional leadership skills with a history of influencing engineering and product teams without direct authority.
- Strong technical communication skills, with the unique ability to explain complex modeling decisions to a product analyst without jargon, and to a platform engineer without oversimplifying.
Preferred Qualifications
- Hands-on experience working directly with dbt and Snowflake in a high-scale environment.
- Practical experience implementing data mesh architectures or federated data ownership models.
- Exposure to AI/LLM tooling as a data consumer, with a strong conceptual grasp of what clean, well-structured data requires to be successfully queried by AI agents and assistants.
We value diversity
We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.
Compensation & Benefits
- The salary band for this position ranges from $165,000 - $240,000 commensurate with experience and performance. Compensation may vary based on factors such as cost of living.
- This position will be eligible for a competitive year end performance bonus & equity package.
- Full medical, dental, vision package to fit your needs
- Flexible vacation policy; work hard and take time when you need it
- Pet discount plans & retirement plan with company match (401K)
- The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world
LI-Remote
Analytics Engineer Job Roles in Colorado
See all 126+ Analytics Engineer Jobs in Colorado
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Search Analytics Engineer Jobs in ColoradoAnalytics Engineer Jobs in Colorado: Frequently Asked Questions
Which companies sponsor visas for analytics engineers in Colorado?
Several Colorado-based employers have a documented history of H-1B visa sponsorship for data and analytics roles. Palantir Technologies in Denver, Arrow Electronics in Centennial, and Ibotta are among the more active sponsors. Larger employers with Colorado offices, including Lockheed Martin, DISH Network, and Trimble, have also filed LCAs for analytics-related positions. Sponsorship activity varies year to year and by team, so verifying current openings directly is essential.
Which visa types are most common for analytics engineer roles in Colorado?
The H-1B is the most common visa for analytics engineers in Colorado, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, statistics, mathematics, or a related field. Some employers also use the O-1A for candidates with demonstrated expertise. Australians may be eligible for the E-3 visa, and Canadians and Mexicans may qualify under TN visa status in certain data-focused job categories.
Which cities in Colorado have the most analytics engineer sponsorship jobs?
Denver is by far the primary hub for analytics engineer sponsorship jobs in Colorado, driven by its concentration of technology, finance, and enterprise software companies. Boulder follows, with a strong startup ecosystem and proximity to the University of Colorado. Colorado Springs has a smaller but active market tied to defense and aerospace employers. Remote-friendly Colorado-registered companies also post sponsorship-eligible roles that aren't tied to a single city.
How to find analytics engineer visa sponsorship jobs in Colorado?
Migrate Mate is built specifically for international job seekers and filters analytics engineer roles in Colorado by visa sponsorship eligibility, saving you from sorting through listings where sponsorship isn't offered. You can filter by location, visa type, and role category to surface relevant openings from Colorado employers actively hiring. This is particularly useful given that sponsorship availability isn't always disclosed upfront in standard job postings.
Are there any Colorado-specific factors that affect analytics engineer visa sponsorship?
Colorado's Equal Pay for Equal Work Act requires employers to disclose pay ranges in job postings, which gives analytics engineer candidates useful context when assessing whether an offer meets Department of Labor prevailing wage requirements, a mandatory condition for H-1B approval. Colorado's university pipeline, particularly from CU Boulder and Colorado State University, also means employers are accustomed to sponsoring candidates coming out of graduate programs in data and computer science fields.
What is the prevailing wage for sponsored analytics 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.