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Data Miner Jobs in Texas (NOW HIRING)

... Data Miner, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and ...

An analytical mindset will be essential for effective troubleshooting and diagnosing on the miners in order to ensure the optimal uptime on our machines and turnaround times. The Data Center ...

ABOUT THE ROLE As a Data Center Technician, you will work with state-of-the-art computing and ... Carry out basic miner repairs and maintenance, flash firmware on miners, and handle associated ...

ABOUT THE ROLE As a Data Center Technician, you will work with state-of-the-art computing and ... Carry out basic miner repairs and maintenance, flash firmware on miners, and handle associated ...

ABOUT THE ROLE As a Data Center Technician, you will work with state-of-the-art computing and ... Carry out basic miner repairs and maintenance, flash firmware on miners, and handle associated ...

Basic miner diagnostics and repair * Introductory mechanical skills * Miner tools * Basic repairs * Basic data analysis skills * Basic flashing firmware skills * Ability to complete projects at ...

Basic miner diagnostics and repair * Introductory mechanical skills * Miner tools * Basic repairs * Basic data analysis skills * Basic flashing firmware skills * Ability to complete projects at ...

Ability to clearly and promptly bring attention to any major errors in the Data Center that involve the Miner Maintenance team. * High School Diploma or GED or relevant experience * On the job ...

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Data Miner information

See Texas salary details

$25

$31

$32

How much do data miner jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data miner in Texas is $31.10, according to ZipRecruiter salary data. Most workers in this role earn between $30.91 and $32.26 per hour, depending on experience, location, and employer.

What is a data miner?

Data miners, also known as data mining analysts or data mining specialists, analyze large amounts of data to identify patterns and trends that provide useful information to their company or client. Data mining uses a combination of computer software and analytics to examine large quantities of data and calculate predictive statistical information. As a data miner, you process this information into readable reports, which are used by company management to make business decisions. Data miners are found in many different industries, including health care, finance, and information technology.

What are the key skills and qualifications needed to thrive as a data miner, and why are they important?

To excel as a Data Miner, you need strong analytical skills, a background in statistics or computer science, and proficiency in data mining methodologies. Familiarity with tools like Python, R, SQL, and data mining platforms such as RapidMiner or Weka, as well as relevant certifications, is typically required. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These competencies enable Data Miners to extract meaningful patterns from complex datasets, supporting data-driven decision-making for organizations.

What are some common challenges data miners face when working with large and complex datasets?

Data miners often encounter challenges such as handling incomplete or inconsistent data, ensuring data quality, and managing the computational demands of processing large datasets. Additionally, transforming raw data into a format suitable for mining and selecting appropriate algorithms for meaningful insights can be complex. Collaborating closely with data engineers and domain experts is crucial to overcome these obstacles and ensure the mined data provides actionable value for the organization.

What is the difference between Data Miner vs Data Analyst?

AspectData MinerData Analyst
Required CredentialsTypically a degree in computer science, statistics, or related field; knowledge of data mining toolsUsually a degree in statistics, mathematics, or related field; proficiency in data analysis software
Work EnvironmentOften works with large datasets, using specialized data mining software in tech or finance industriesAnalyzes data to generate reports, often in business or marketing settings
Employer & Industry UsageUsed by tech companies, finance, and e-commerce for extracting insights from big dataEmployed across various industries for interpreting data to inform decisions

While both roles involve working with data, Data Miners focus on extracting hidden patterns from large datasets using advanced tools, whereas Data Analysts interpret data to produce actionable insights through reports and visualizations.

How much do data miners make?

Data miners typically earn between $50,000 and $90,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced data miners with advanced skills in SQL, Python, or data analysis tools can earn higher salaries.

What are popular job titles related to Data Miner jobs in TX?

For Data Miner jobs in TX, the most frequently searched job titles are:

Infographic showing various Data Miner job openings in Texas as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $64,690 per year, or $31.1 per hour.

Business Intel Engineer III - AMZ9967495

Amazon

Houston, TX • On-site

$133K - $176K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,133 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

MULTIPLE POSITIONS AVAILABLE
Employer: AMAZON.COM SERVICES LLC
Offered Position: Business Intel Engineer III
Job Location: Houston, Texas
Job Number: AMZ9967495
Position Responsibilities:
Support senior management by managing metrics reporting and performing mathematical and statistical modeling to produce business forecasts. Research, design, and develop new forecasting technologies to help Amazon leverage its data to support business functions through complicated mathematical modeling. Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly innovative business intelligence tools and automated reports for campaign targeting and optimization. Transform complicated business problems into mathematics modeling and provide data-driven solutions. Perform statistical analysis, including clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.
Position Requirements:
Master's degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): (1) using SQL, ETL or Oracle; (2) processing large, multi-dimensional datasets from multiple sources; (3) performing statistical analysis; and (4) developing automated reporting.
Amazon.com is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
40 hours / week, 8:00am-5:00pm, Salary Range $133,078/year to $176,300/year.
Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit:
https://www.aboutamazon.com/workplace/employee-benefits.#0000
BASIC QUALIFICATIONS
Position Requirements:
Master's degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): (1) using SQL, ETL or Oracle; (2) processing large, multi-dimensional datasets from multiple sources; (3) performing statistical analysis; and (4) developing automated reporting.#0000
PREFERRED QUALIFICATIONS
Please see job description and the position requirements above.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US