Big Data Engineer Visa Sponsorship Jobs in Nevada
Big data engineer visa sponsorship jobs in Nevada are concentrated in Las Vegas, where MGM Resorts, Caesars Entertainment, and Switch Data Centers drive significant demand for large-scale data infrastructure talent. Reno's growing tech corridor, anchored by companies like Amazon and Tesla's Gigafactory operations, adds further hiring depth for engineers working with distributed systems and cloud pipelines.
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Get Access To All JobsINTRODUCTION
Clear Capital is building the future of real estate data. Our goal is knowing more about a property than anybody else and in the process, making home ownership valuations more fair and equitable for millions of people. Every project our data team works on ships as a product or directly supports one that does. We are not a reporting team; our work moves Clear Capital's revenue.
ROLE AND RESPONSIBILITIES
As a Data Engineer, you will design, build, and operate the data pipelines and platforms behind our data & analytics products. You will work closely with the entire engineering organization to turn large, messy, multi-source datasets into reliable, product-ready data. You will also be a force multiplier for your team. You will raise the technical bar through design reviews, mentorship, and clear documentation, and you will anticipate what others need before they ask.
What You Will Work On
- Design, build, and maintain ELT pipelines that ingest data from APIs, object stores, databases, and streaming or queue-based sources.
- Build scalable data models and transformations that serve analytics, machine learning, and operational use cases.
- Own and improve existing production data pipelines, including modernizing legacy workflows.
- Standardize and match data across sources, including entity resolution and address normalization.
- Build and maintain data quality checks, monitoring, and alerting so issues are caught early.
- Partner with ML, BI, and data operations teams to understand their needs and deliver the data they rely on.
- Champion engineering best practices: code review, testing, documentation, and version control.
BASIC QUALIFICATIONS
- Bachelor's degree in a technical field, or equivalent practical experience.
- 3-5+ years of overall experience in software or data engineering.
- 3+ years of professional Python development.
- Strong understanding of data modeling, data lake architecture, and master data management concepts.
- Familiarity with ELT standards and best practices.
- Hands-on experience with AWS services such as IAM, S3, Glue, RDS or Aurora, EKS, SQS, DynamoDB, and Lambda.
- Experience with workflow orchestration (e.g., Airflow) and SQL-based transformation (e.g., dbt).
- Experience with containerization and orchestration (e.g., Docker, Kubernetes).
- Proficiency with Git and collaborative development on a shared codebase.
- Comfortable with the command line.
PREFERRED QUALIFICATIONS
- Experience with open table formats such as Apache Iceberg.
- Experience working with MLS, real estate, property, or other large public-record datasets.
- Experience building platforms or internal tools that other engineers use.
- Experience with data lake or lakehouse architectures at scale.
WHY JOIN US
- Your work ships to customers and directly drives revenue. It is not BI or internal reporting.
- Work on data that affects how people value and finance their homes.
- Partner closely with product management on a roadmap that you help shape.
- Shape the architecture and standards for a growing data platform.
COMPENSATION
- Compensation: The base salary for this position ranges from $120,000 to $153,700 annually, depending on your location, experience, and qualifications. Additional compensation offerings include company profit-sharing bonus program, communication stipends, and referral bonuses.
BENEFITS
- Inclusive benefits package offering: Comprehensive medical, dental, and company paid vision insurance, 401(k) retirement plan with employer match, voluntary life and AD&D insurance options, voluntary supplemental insurances for accident, critical illness, and legal services, paid time off (PTO) and paid holidays, employee assistance and wellness programs, company paid short term disability coverage, company contributions to health saving funds (with participation in the high deductible health plan). We offer company paid access to Galileo for virtual primary care and Rula for virtual mental health resources.
- Through our Anniversary Program, we celebrate the meaningful milestones and long tenure that reflect how much we value your contributions and commitment to our team.
- Career and skill development resources to help advance your career and personal growth.
- A mission-driven environment where your work makes a measurable impact on the real estate industry.
WHAT WE VALUE
- Wherever it Leads, Whatever it Takes® - No matter how remote, complex, or unexpected. Our commitment never wavers.
- Hire NICE people - Skills can be taught but character shines through. We seek those who bring integrity, kindness, and grit.
- Lift others up - We lead with empathy and strive to improve the lives of those around us.
- Sweat the details - Excellence lives in the little things. Getting it just so is how we make a big impact.
- Raise the bar - We don’t settle for industry standards; we redefine them.
About us
Clear Capital is a national real estate analytics, data solutions and valuation technology company with a simple purpose: to build confidence in real estate decisions to strengthen communities and improve lives. Our goal is to provide customers with a complete understanding of nearly every U.S. property through our AI-driven analytics, data solutions, valuation services and automated appraisal review platforms. Our commitment to excellence - wherever it leads, whatever it takes® - is embodied by our team members across our brands and has remained steadfast in this pursuit since our first order in 2001.
Clear Capital is an equal-opportunity employer.
To all recruitment agencies: Clear Capital does not accept agency resumes. Please do not forward resumes to our jobs alias, Clear Capital employees, or any other company location. Clear Capital is not responsible for any fees related to unsolicited resumes.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
INTRODUCTION
Clear Capital is building the future of real estate data. Our goal is knowing more about a property than anybody else and in the process, making home ownership valuations more fair and equitable for millions of people. Every project our data team works on ships as a product or directly supports one that does. We are not a reporting team; our work moves Clear Capital's revenue.
ROLE AND RESPONSIBILITIES
As a Data Engineer, you will design, build, and operate the data pipelines and platforms behind our data & analytics products. You will work closely with the entire engineering organization to turn large, messy, multi-source datasets into reliable, product-ready data. You will also be a force multiplier for your team. You will raise the technical bar through design reviews, mentorship, and clear documentation, and you will anticipate what others need before they ask.
What You Will Work On
- Design, build, and maintain ELT pipelines that ingest data from APIs, object stores, databases, and streaming or queue-based sources.
- Build scalable data models and transformations that serve analytics, machine learning, and operational use cases.
- Own and improve existing production data pipelines, including modernizing legacy workflows.
- Standardize and match data across sources, including entity resolution and address normalization.
- Build and maintain data quality checks, monitoring, and alerting so issues are caught early.
- Partner with ML, BI, and data operations teams to understand their needs and deliver the data they rely on.
- Champion engineering best practices: code review, testing, documentation, and version control.
BASIC QUALIFICATIONS
- Bachelor's degree in a technical field, or equivalent practical experience.
- 3-5+ years of overall experience in software or data engineering.
- 3+ years of professional Python development.
- Strong understanding of data modeling, data lake architecture, and master data management concepts.
- Familiarity with ELT standards and best practices.
- Hands-on experience with AWS services such as IAM, S3, Glue, RDS or Aurora, EKS, SQS, DynamoDB, and Lambda.
- Experience with workflow orchestration (e.g., Airflow) and SQL-based transformation (e.g., dbt).
- Experience with containerization and orchestration (e.g., Docker, Kubernetes).
- Proficiency with Git and collaborative development on a shared codebase.
- Comfortable with the command line.
PREFERRED QUALIFICATIONS
- Experience with open table formats such as Apache Iceberg.
- Experience working with MLS, real estate, property, or other large public-record datasets.
- Experience building platforms or internal tools that other engineers use.
- Experience with data lake or lakehouse architectures at scale.
WHY JOIN US
- Your work ships to customers and directly drives revenue. It is not BI or internal reporting.
- Work on data that affects how people value and finance their homes.
- Partner closely with product management on a roadmap that you help shape.
- Shape the architecture and standards for a growing data platform.
COMPENSATION
- Compensation: The base salary for this position ranges from $120,000 to $153,700 annually, depending on your location, experience, and qualifications. Additional compensation offerings include company profit-sharing bonus program, communication stipends, and referral bonuses.
BENEFITS
- Inclusive benefits package offering: Comprehensive medical, dental, and company paid vision insurance, 401(k) retirement plan with employer match, voluntary life and AD&D insurance options, voluntary supplemental insurances for accident, critical illness, and legal services, paid time off (PTO) and paid holidays, employee assistance and wellness programs, company paid short term disability coverage, company contributions to health saving funds (with participation in the high deductible health plan). We offer company paid access to Galileo for virtual primary care and Rula for virtual mental health resources.
- Through our Anniversary Program, we celebrate the meaningful milestones and long tenure that reflect how much we value your contributions and commitment to our team.
- Career and skill development resources to help advance your career and personal growth.
- A mission-driven environment where your work makes a measurable impact on the real estate industry.
WHAT WE VALUE
- Wherever it Leads, Whatever it Takes® - No matter how remote, complex, or unexpected. Our commitment never wavers.
- Hire NICE people - Skills can be taught but character shines through. We seek those who bring integrity, kindness, and grit.
- Lift others up - We lead with empathy and strive to improve the lives of those around us.
- Sweat the details - Excellence lives in the little things. Getting it just so is how we make a big impact.
- Raise the bar - We don’t settle for industry standards; we redefine them.
About us
Clear Capital is a national real estate analytics, data solutions and valuation technology company with a simple purpose: to build confidence in real estate decisions to strengthen communities and improve lives. Our goal is to provide customers with a complete understanding of nearly every U.S. property through our AI-driven analytics, data solutions, valuation services and automated appraisal review platforms. Our commitment to excellence - wherever it leads, whatever it takes® - is embodied by our team members across our brands and has remained steadfast in this pursuit since our first order in 2001.
Clear Capital is an equal-opportunity employer.
To all recruitment agencies: Clear Capital does not accept agency resumes. Please do not forward resumes to our jobs alias, Clear Capital employees, or any other company location. Clear Capital is not responsible for any fees related to unsolicited resumes.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Big Data Engineer Job Roles in Nevada
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Search Big Data Engineer Jobs in NevadaBig Data Engineer Jobs in Nevada: Frequently Asked Questions
Which companies in Nevada sponsor visas for big data engineers?
Las Vegas-based hospitality and gaming companies are active sponsors, including MGM Resorts International and Caesars Entertainment, both of which run large-scale data engineering teams. Switch, one of the largest data center operators in North America and headquartered in Las Vegas, also hires big data engineers. In Reno, Amazon's fulfillment and cloud infrastructure operations and companies tied to the Tahoe-Reno Industrial Center represent additional sponsoring employers.
Which visa types apply to big data engineer roles in Nevada?
The H-1B visa is the most common path, as big data engineering qualifies as a specialty occupation requiring a bachelor's degree in computer science, information systems, or a related field. The employer files a Labor Condition Application and I-129 petition. Canadian and Mexican nationals may qualify for TN visa status under the Engineer or Computer Systems Analyst category. F-1 graduates can use OPT or STEM OPT if their degree is STEM-designated. EB-2 and EB-3 green card sponsorship is available through PERM labor certification.
How to find big data engineer visa sponsorship jobs in Nevada?
Migrate Mate lists Nevada employers with verified visa sponsorship history for big data engineer roles, searchable by city and employer. Because Nevada's hiring is split between Las Vegas's hospitality-tech sector and Reno's industrial-tech corridor, filtering by location helps narrow to the right employer type. Migrate Mate's database reflects actual LCA filing history, so you can identify companies that have actively sponsored similar roles rather than relying on job postings alone.
Which Nevada cities have the most big data engineer visa sponsorship jobs?
Las Vegas accounts for the majority of big data engineering sponsorship activity in Nevada, driven by the gaming, hospitality, and data center industries that require continuous processing of large transaction and customer datasets. Reno is the second-largest hub, with growth tied to its expanding tech and manufacturing base, including logistics and electric vehicle supply chain companies. Henderson and North Las Vegas also have some employer presence through data center and enterprise technology operations.
Are there any Nevada-specific factors that affect big data engineer visa sponsorship?
Nevada's sponsorship activity is heavily shaped by its gaming and hospitality sector, which generates unusually large volumes of real-time transactional data and drives demand for Hadoop, Spark, and Kafka expertise. The University of Nevada Las Vegas and University of Nevada Reno produce local engineering graduates, but employer demand consistently exceeds local supply, making international hires common. Nevada has no state income tax, which affects offer competitiveness but does not change federal visa requirements or employer sponsorship obligations.
What is the prevailing wage for sponsored big data 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.