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Data Extraction Jobs in Nevada (NOW HIRING)

LV Petroleum

Tax Manager

Las Vegas, NV · On-site

$101K - $133K/yr

Extract, validate, and analyze financial data from various systems (ERP, billing, accounting) to support accurate tax calculations and reporting * Develop and maintain reports and dashboards that ...

LV Petroleum

Tax Manager

Las Vegas, NV · On-site

$101K - $133K/yr

Extract, validate, and analyze financial data from various systems (ERP, billing, accounting) to support accurate tax calculations and reporting * Develop and maintain reports and dashboards that ...

LV Petroleum

Tax Manager

Las Vegas, NV

$106K - $139K/yr

Extract, validate, and analyze financial data from various systems (ERP, billing, accounting) to support accurate tax calculations and reporting * Develop and maintain reports and dashboards that ...

Infojini Inc

Sr. ETL Developer

Las Vegas, NV · On-site

... data warehouse solutions For Senior: 2+ years work experience with architecting data warehouse ... ETL tools such as IBM DataStage is required Experience with Unix Operating System is required ...

Socket.dev

Data Engineering Manager

Reno, NV · On-site

$128K/yr

Lead development and maintenance of ETL/ELT pipelines, SQL objects, integrations, interfaces, and automated data-processing workflows. * Manage data feeds from Epic, Axiom, Premier, payroll ...

Tahoe Forest Health

Data Engineering Manager

Reno, NV · On-site

$128K/yr

Lead development and maintenance of ETL/ELT pipelines, SQL objects, integrations, interfaces, and automated data-processing workflows. * Manage data feeds from Epic, Axiom, Premier, payroll ...

Pwc

Data Strategy-Manager

Las Vegas, NV · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Pwc

Data Governance- Manager

Las Vegas, NV · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

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All JobsData Extraction JobsData Extraction Jobs in Nevada

Data Extraction information

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$12

$29

$73

How much do data extraction jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for data extraction in Nevada is $29.79, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $33.04 per hour, depending on experience, location, and employer.

What is a data extraction?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What are the typical daily responsibilities for someone working in data extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

What are the key skills and qualifications needed to thrive in data extraction, and why are they important?

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

How to become a data extraction?

To become a data extraction specialist, develop skills in data management, programming languages like Python or SQL, and familiarity with data extraction tools such as web scrapers or ETL software. Gaining experience through relevant projects or certifications can improve job prospects, and understanding data privacy and security is also beneficial.

What are popular job titles related to Data Extraction jobs in Nevada?

For Data Extraction jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Data Extraction jobs in Nevada look for?

The top searched job categories for Data Extraction jobs in Nevada are:

Data Extraction jobs near you
Infographic showing various Data Extraction job openings in Nevada as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $61,972 per year, or $29.8 per hour.

2027 Risk Management Training Program (RMTP) - Management Associate I

Las Vegas, NV • On-site

CreditOne
See more jobs at CreditOneexternal

Full-time

Posted 12 days ago

Job description

Description
Credit One Bank Risk Management Training Program
Program Summary
The Risk Management Training Program (RMTP) is a one-year rotational development program designed to launch the careers of high-potential recent graduates in the rapidly evolving world of financial technology, analytics, and risk management at Credit One Bank.
Through hands-on experience, structured development, and mentorship from industry leaders, RMTP Associates gain exposure to the critical functions that drive strategic decision-making and business performance. Participants build technical expertise in areas such as Data Strategy, Risk Analytics, Profit & Loss (P&L) Analysis, Modeling, and Decision Science, while also developing the leadership, communication, and business acumen needed to become future data-driven leaders.
During the program, associates rotate through multiple teams within the Risk organization, gaining broad exposure to diverse business functions and technologies. Rotational opportunities may include Fraud Strategy, Risk Modeling, Acquisitions Risk, Collections Risk, Risk Analytics, and other high-impact areas that influence customer experience, portfolio performance, and enterprise growth.
By the end of the program, associates will have developed a strong foundation in financial services, advanced analytics, and risk management while building a professional network across the organization. RMTP provides a unique opportunity to accelerate your career, tackle meaningful business challenges, and contribute to innovative solutions that help shape the future of Credit One Bank.
Position Requirements:
  • Bachelor's degree in Economics, Information Systems, Statistics, Finance, Mathematics, Data Analytics, or a related quantitative field, completed by July 2027.
  • Recent graduate who has earned a bachelor's degree within one year of the program start date (July 2026 through July 2027).
  • Minimum cumulative 3.0 GPA.
  • Proficiency in SQL for data extraction, querying, analysis, and working with large datasets.
  • Experience using Python for data analysis, data manipulation, and exploratory analytics through coursework, academic projects, internships, or personal projects.
  • Advanced proficiency in Microsoft Excel, including complex formulas, PivotTables, data validation, reporting, data analysis, and visualization techniques for interpreting large datasets.
  • Strong analytical, problem-solving, and quantitative reasoning skills with a demonstrated ability to translate data into actionable insights.
  • Ability to quickly learn new analytical tools, technologies, and business concepts in a fast-paced, collaborative environment.
  • Strong written and verbal communication skills, with the ability to effectively present findings to both technical and non-technical audiences.
  • Must be able and willing to work onsite in Las Vegas, Nevada.

Preferred:
  • Work experience in the consumer credit card industry.
  • Work experience in financial services.
  • Experience utilizing SAS programming or Snowflake.

Program Dates:
July 2027 - July 2028
Goals of the Program:
  • Cultivate Data-Driven Risk Professionals: Develop associates' analytical and technical skills by providing hands-on experience in data strategy and analytics, training them to become data-driven leaders who can identify and manage risk effectively.
  • Bridge Theory and Practice: Challenge associates to apply their quantitative and technical knowledge from their undergraduate studies to real-world fintech risk scenarios, reinforcing their academic learning with practical application.
  • Develop Core Professional Competencies: Equip associates with crucial soft skills, such as communication, collaboration, and adaptability, that are essential for effectively communicating complex insights to stakeholders.
  • Provide Mentorship and Networking Opportunities: Connect associates with experienced professionals and senior leadership, fostering professional growth and building a strong network within the company.

Apply