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Google Data Science Jobs in Nevada (NOW HIRING)

AMH

Senior Data Engineer

Las Vegas, NV · On-site

$101K - $137K/yr

Required : • Bachelor's degree in computer science, information systems, data science, management ... Aws or Google. • Strong SQL Knowledge • Proficiency in Python and experience with CI/CD ...

Amh

Senior Data Engineer

Las Vegas, NV

$121K - $151K/yr

Requirements: * Bachelor's degree in computer science, information systems, data science ... Minimum of five (5) years in Cloud technologies like Azure, Aws or Google. * Strong SQL Knowledge

American Homes 4 Rent

Senior Data Engineer

Las Vegas, NV · On-site

$121K - $151K/yr

Requirements: * Bachelor's degree in computer science, information systems, data science ... Minimum of five (5) years in Cloud technologies like Azure, Aws or Google. * Strong SQL Knowledge

VOLT

Senior Data Engineer

Las Vegas, NV · On-site

$120K - $150K/yr

Bachelor's degree in computer science, information systems, data science, management information ... Minimum of five (5) years in Cloud technologies like Azure, Aws or Google. * Strong SQL Knowledge

Pwc

Data Engineer - Senior Manager

Las Vegas, NV · On-site

$124K - $280K/yr

... Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

SynergisticIT

Entry Level C++ Developer

Henderson, NV · On-site

That's why we've helped thousands of people get jobs at top companies like Apple, Google, PayPal ... Data analysts/data scientists * Machine learning engineers Who Should Apply * Recent graduates in ...

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$25.9K

$122.6K

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How much do google data science jobs pay per year?

As of Jun 28, 2026, the average yearly pay for google data science in Nevada is $122,577.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,240.00 and $153,837.00 per year, depending on experience, location, and employer.

Can data scientists make $300k?

Data scientists, including those working at Google, can earn $300,000 or more annually, especially with senior roles, extensive experience, advanced skills in machine learning and big data tools, and in high-cost-of-living areas. Compensation often includes base salary, bonuses, and stock options, which contribute to total earnings at this level.

What are the key skills and qualifications needed to thrive in the Google Data Science position, and why are they important?

To thrive as a Google Data Science professional, you need a strong foundation in statistical analysis, machine learning, and data manipulation, often supported by a degree in a quantitative field such as computer science, statistics, or mathematics. Proficiency in programming languages like Python or R, experience with large-scale data processing tools (such as SQL, TensorFlow, or BigQuery), and familiarity with cloud-based platforms are commonly required. Excellent problem-solving, communication, and collaboration skills help set candidates apart in effectively translating complex data insights to varied stakeholders. These capabilities are crucial for driving impactful, data-driven decisions within cross-functional teams at Google.

How much does Google pay a Data Scientist?

Google Data Scientists typically earn a base salary ranging from $120,000 to $180,000 annually, with total compensation often including bonuses and stock options that can increase overall earnings. Compensation varies based on experience, location, and skill level, with advanced skills in machine learning and data analysis tools being highly valued.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including at age 40. Success in data science depends on skills, experience, and continuous learning of tools like Python, R, and SQL, rather than age. Many professionals transition into data science later in their careers and find opportunities with relevant certifications and a strong portfolio.

What is a Google Data Science job?

A Google Data Science job involves analyzing large datasets to provide insights and drive data-informed decisions. Data scientists at Google apply statistical modeling, machine learning, and analytical techniques to solve complex problems in products like Search, Ads, YouTube, and Cloud. They work closely with engineers, product managers, and business teams to develop data-driven solutions. Strong coding skills in Python or SQL, experience with big data tools, and a solid foundation in statistics are essential for this role.

What types of projects do Google Data Science professionals typically work on?

Google Data Science professionals engage in a wide variety of impactful projects, such as optimizing algorithms for product recommendations, improving user experiences through data-driven insights, and developing predictive models to inform business strategies. They often work closely with product managers, engineers, and designers to translate complex data findings into actionable solutions. The work environment is highly collaborative and fast-paced, with opportunities to contribute to innovative initiatives across different Google products and services. This dynamic setting allows data scientists to continuously expand their skill sets and take on new challenges, fostering both personal and professional growth.

What is the average salary for a Data Scientist at Google?

The average salary for a Data Scientist at Google is approximately $120,000 to $150,000 per year, depending on experience, location, and level. Senior roles or those with specialized skills in machine learning and data analysis can earn higher compensation, often including bonuses and stock options.
What are the most commonly searched types of Google Data Science jobs in Nevada? The most popular types of Google Data Science jobs in Nevada are:
What are popular job titles related to Google Data Science jobs in Nevada? For Google Data Science jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Google Data Science jobs in Nevada look for? The top searched job categories for Google Data Science jobs in Nevada are:
What cities in Nevada are hiring for Google Data Science jobs? Cities in Nevada with the most Google Data Science job openings:
Google Data Science jobs near you
Infographic showing various Google Data Science job openings in Nevada as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 5% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,577 per year, or $58.9 per hour.

Senior Data Engineer

AMH

Las Vegas, NV • On-site

$101K - $137K/yr

Full-time

Posted 7 days ago

Job description

Job Summary:
AMH is one of the leading single-family rental companies and homebuilders in the country, recognized as a top employer. The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools for efficient processing and analysis of large data sets, while collaborating with business teams to enhance data accessibility and decision-making.
Responsibilities:
• Design, develop, and maintain real-time or batch data pipelines to process and analyze large volumes of data. Designs and develops programs and tools to support ingestion, curation, and provisioning of complex first party and third-party data to achieve analytics, reporting, and data science. Design and develop Advanced Data Products and Intelligent API’s. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features.
• Lead in analysis of data and the design the data architecture to support BI, AI/ML and data products.
• Designs and implements data platform architecture to meet organization analytical requirements. Ensures the solution designs address operational requirements such as scalability, maintainability, extensibility, flexibility, and integrity.
• Provide technical leadership and mentorship to team members. Leads peer development and code reviews with focus on test driven development and Continuous Integration and Continuous Development (CICD).
Qualifications:
Required:
• Bachelor’s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required.
• Minimum of eight (8) years of experience as a data engineer with full-stack capabilities
• Minimum of ten (10) years of Experience in programming
• Minimum of five (5) years in Cloud technologies like Azure, Aws or Google.
• Strong SQL Knowledge
• Proficiency in Python and experience with CI/CD practices
• Strong background in IAAS platforms and infrastructure
• Hands-on experience with Databricks, Spark, Fabric, or similar technologies
• Experience in Agile methodologies
• Hands-on experience in the design and development of data pipelines and data products
• Experience in developing data ingestion, data processing, and analytical pipelines for big data, NoSQL, and data warehouse solutions.
• Hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.
• Extensive experience in Big Data technologies such as Apache Spark and streaming technologies such as Kafka, EventHub, etc.
• Extensive experience in designing data applications in a cloud environment.
• Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure.
• Extensive experience in Data Architecture and data modeling
• Expert in data analysis and data quality frameworks.
• Knowledgeable with BI tools such as Power BI and Tableau.
Preferred:
• Master’s degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field preferred.
• Experience in ML and ML Pipeline a plus
• Experience in real-time integration, developing intelligent apps and data products.
Company:
At AMH, we’re redefining what it means to make a home yours. And we’re doing it with care. Founded in 2011, the company is headquartered in Agoura Hills, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

About AMH

Sourced by ZipRecruiter

Industry

Real estate

Company size

1,001 - 5,000 Employees

Headquarters location

Las Vegas, NV, US

Year founded

2012

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