Analytics Engineer Visa Sponsorship Jobs in Nevada
Analytics engineer roles in Nevada are concentrated in Las Vegas, where gaming giants like MGM Resorts, Caesars Entertainment, and Wynn Resorts run sizable data teams alongside a growing fintech and hospitality-tech sector. Reno's emerging tech corridor adds further opportunities. Employers in Nevada do sponsor visas for qualified analytics engineers, particularly through H-1B and TN categories.
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Get Access To All JobsWhy Socure?
Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.
About the Role
We are looking for an experienced Analytics Engineer to own and evolve the BI team’s technical infrastructure (Snowflake, dbt, GitLab CI/CD, scheduling frameworks, and ingestion tooling) while ensuring all BI systems and workflows remain fully aligned with the broader Data Engineering architecture and design principles. This role is responsible for keeping the BI environment scalable, maintainable, and consistent with the company’s overall data platform strategy.
You will collaborate closely with Data Engineering, who manage the source-to-mesh pipelines, and build everything needed to deliver clean, reliable, analytics-ready data into the BI workspace. This includes developing curated data layers, ensuring pipeline reliability, maintaining governance standards, and enabling efficient downstream analytics across dashboards, reporting, and domain models.
Why “Analytics” Engineer?
This role is intentionally scoped as an Analytics Engineer, not just a data or platform engineer because success requires:
- Understanding analytics use cases, business metrics, and performance KPIs
- Designing data models that correctly support those metrics and semantic definitions
- Working closely with business stakeholders to gather context and ensure data structures reflect real-world logic
- Balancing technical efficiency with analytical usability, building data assets that analysts and business teams can reliably use for decision-making
You will serve as the bridge between technical data systems and the analytical needs of the business.
Responsibilities
Own and enhance BI infrastructure
- Administer and optimize our Snowflake data warehouse (roles, performance, cost control, governance).
- Maintain and scale dbt projects including core models, tests, documentation, semantic modeling, and deployments.
- Manage GitLab pipelines/runners to support robust CI/CD for BI assets.
- Oversee job scheduling and orchestration for BI transformations and data flows.
- Own ingestion pipelines relevant to BI data needs.
Bridge the gap between Data Engineering and BI
- Collaborate with Data Engineering to understand upstream mesh data products with BI analysts to understand business logic, metrics definitions, and performance targets.
- Extend mesh data into curated BI data layers optimized for analytics.
- Design data structures that support accurate, scalable analytics (fact tables, dimensions, semantic layers).
- Participate in architectural decisions to align upstream pipelines with downstream analytical requirements.
Deliver data experiences to end users
- Build custom solutions (APIs, extracts, materialized datasets, governed marts) to deliver data in the right format for each use case.
- Implement robust testing, monitoring, and reliability processes for BI pipelines.
- Ensure fast, reliable data availability for business stakeholders.
Support and guide BI initiatives
- Partner with BI Analysts to maintain a reliable modeling environment and help unblock analytical workflows.
- Recommend the most effective data modeling approaches and development processes, considering business priorities and resource limits.
- Participate in tooling evaluations and decisions, ensuring solutions fit BI use cases and organizational architecture.
- Provide clarity in ambiguous situations and advise leadership on risks, dependencies, and sequencing of work.
Qualifications
Required
- 3-5+ years as an Analytics Engineer, Data Engineer, or similar role with a strong analytics orientation.
- Strong proficiency with Snowflake and familiarity with AWS analytics services (Redshift, Athena, S3, SageMaker, etc.).
- Expertise in SQL, Python, and Spark for data processing, automation, and custom integrations.
- Experience with dbt and modern data modeling best practices.
- Hands-on experience with Git-based CI/CD workflows (GitLab preferred).
- Familiarity with ingestion tools such as Fivetran.
- Proven ability to translate business requirements and metric definitions into robust, scalable data models.
- Strong communication and stakeholder management skills.
Nice-to-Have
- Experience supporting BI or analytics teams directly.
- Knowledge of semantic layers, metrics stores, or analytics engineering frameworks.
- Python experience for automation, orchestration, or custom integrations.
- Familiarity with data mesh principles and domain-oriented data products.
- Experience optimizing cross-cloud data architecture or hybrid environments.
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.
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Why Socure?
Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading.
About the Role
We are looking for an experienced Analytics Engineer to own and evolve the BI team’s technical infrastructure (Snowflake, dbt, GitLab CI/CD, scheduling frameworks, and ingestion tooling) while ensuring all BI systems and workflows remain fully aligned with the broader Data Engineering architecture and design principles. This role is responsible for keeping the BI environment scalable, maintainable, and consistent with the company’s overall data platform strategy.
You will collaborate closely with Data Engineering, who manage the source-to-mesh pipelines, and build everything needed to deliver clean, reliable, analytics-ready data into the BI workspace. This includes developing curated data layers, ensuring pipeline reliability, maintaining governance standards, and enabling efficient downstream analytics across dashboards, reporting, and domain models.
Why “Analytics” Engineer?
This role is intentionally scoped as an Analytics Engineer, not just a data or platform engineer because success requires:
- Understanding analytics use cases, business metrics, and performance KPIs
- Designing data models that correctly support those metrics and semantic definitions
- Working closely with business stakeholders to gather context and ensure data structures reflect real-world logic
- Balancing technical efficiency with analytical usability, building data assets that analysts and business teams can reliably use for decision-making
You will serve as the bridge between technical data systems and the analytical needs of the business.
Responsibilities
Own and enhance BI infrastructure
- Administer and optimize our Snowflake data warehouse (roles, performance, cost control, governance).
- Maintain and scale dbt projects including core models, tests, documentation, semantic modeling, and deployments.
- Manage GitLab pipelines/runners to support robust CI/CD for BI assets.
- Oversee job scheduling and orchestration for BI transformations and data flows.
- Own ingestion pipelines relevant to BI data needs.
Bridge the gap between Data Engineering and BI
- Collaborate with Data Engineering to understand upstream mesh data products with BI analysts to understand business logic, metrics definitions, and performance targets.
- Extend mesh data into curated BI data layers optimized for analytics.
- Design data structures that support accurate, scalable analytics (fact tables, dimensions, semantic layers).
- Participate in architectural decisions to align upstream pipelines with downstream analytical requirements.
Deliver data experiences to end users
- Build custom solutions (APIs, extracts, materialized datasets, governed marts) to deliver data in the right format for each use case.
- Implement robust testing, monitoring, and reliability processes for BI pipelines.
- Ensure fast, reliable data availability for business stakeholders.
Support and guide BI initiatives
- Partner with BI Analysts to maintain a reliable modeling environment and help unblock analytical workflows.
- Recommend the most effective data modeling approaches and development processes, considering business priorities and resource limits.
- Participate in tooling evaluations and decisions, ensuring solutions fit BI use cases and organizational architecture.
- Provide clarity in ambiguous situations and advise leadership on risks, dependencies, and sequencing of work.
Qualifications
Required
- 3-5+ years as an Analytics Engineer, Data Engineer, or similar role with a strong analytics orientation.
- Strong proficiency with Snowflake and familiarity with AWS analytics services (Redshift, Athena, S3, SageMaker, etc.).
- Expertise in SQL, Python, and Spark for data processing, automation, and custom integrations.
- Experience with dbt and modern data modeling best practices.
- Hands-on experience with Git-based CI/CD workflows (GitLab preferred).
- Familiarity with ingestion tools such as Fivetran.
- Proven ability to translate business requirements and metric definitions into robust, scalable data models.
- Strong communication and stakeholder management skills.
Nice-to-Have
- Experience supporting BI or analytics teams directly.
- Knowledge of semantic layers, metrics stores, or analytics engineering frameworks.
- Python experience for automation, orchestration, or custom integrations.
- Familiarity with data mesh principles and domain-oriented data products.
- Experience optimizing cross-cloud data architecture or hybrid environments.
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly.
Follow Us!
YouTube | LinkedIn | X (Twitter) | Facebook
Analytics Engineer Job Roles in Nevada
See all 32+ Analytics Engineer Jobs in Nevada
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Search Analytics Engineer Jobs in NevadaAnalytics Engineer Jobs in Nevada: Frequently Asked Questions
Which companies sponsor visas for analytics engineers in Nevada?
Las Vegas-based gaming and hospitality corporations are among the most active sponsors for analytics engineers in Nevada. MGM Resorts International, Caesars Entertainment, and Wynn Resorts have all filed H-1B petitions for data roles. Beyond gaming, fintech companies and technology vendors headquartered in the Las Vegas metro also appear in Department of Labor disclosure data as H-1B sponsors for analytics and data engineering positions.
Which visa types are most common for analytics engineer roles in Nevada?
The H-1B is the most common visa for analytics engineers in Nevada, as the role typically requires a bachelor's degree or higher in computer science, statistics, or a related field, meeting the specialty occupation standard. Canadian and Mexican nationals may qualify for TN status under the NAFTA-successor USMCA, as computer systems analysts and engineers are listed occupations. Australians holding an E-3 visa are another option when sponsored by a qualifying Nevada employer.
Which cities in Nevada have the most analytics engineer sponsorship jobs?
Las Vegas and the broader Clark County metro account for the large majority of analytics engineer positions in Nevada, driven by the gaming industry's heavy investment in data infrastructure, customer analytics, and real-time reporting systems. Reno is a secondary market with growing activity tied to its expanding technology and logistics sector, including companies with operations near the Tesla Gigafactory corridor.
How to find analytics engineer visa sponsorship jobs in Nevada?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse analytics engineer openings in Nevada without sifting through roles that don't sponsor. The platform covers employers across the Las Vegas and Reno metros, including gaming, fintech, and tech companies that have a track record of filing H-1B petitions for data roles. Searching by role and state on Migrate Mate is the most direct way to surface relevant, sponsorship-confirmed listings.
Are there any Nevada-specific considerations for analytics engineers seeking visa sponsorship?
Nevada's prevailing wage requirements for H-1B positions are set at the county level using Department of Labor data, so wages for analytics engineers in Clark County around Las Vegas differ from those in Washoe County around Reno. The gaming industry's regulatory environment also means employers conduct thorough background checks, which can extend onboarding timelines. University of Nevada Las Vegas and University of Nevada Reno produce local talent pipelines, but neither diminishes employer willingness to sponsor international candidates with specialized skills.
What is the prevailing wage for sponsored analytics engineer jobs in Nevada?
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.
See which analytics engineer employers are hiring and sponsoring visas in Nevada right now.
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