ZipRecruiter

Log In

2

Full Time Mining Jobs in Minnesota (NOW HIRING)

previous page

Showing results 41-60

All JobsMining JobsFull Time Mining JobsFull Time Mining Jobs in Minnesota

Full Time Mining information

See Minnesota salary details

$12

$31

$50

How much do full time mining jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for full time mining in Minnesota is $31.14, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $37.60 per hour, depending on experience, location, and employer.

What is full time mining?

Full time mining jobs refer to positions within the mining industry that require employees to work a standard, full-time schedule, typically 35-40 hours per week or more. These roles can include various occupations such as miners, equipment operators, geologists, engineers, and safety inspectors. Full time mining jobs often involve working in challenging environments, sometimes in remote locations, and may require shift work or extended periods away from home. Employees in this field are usually offered benefits such as health insurance, retirement plans, and paid time off, depending on the employer and location.

What are the key skills and qualifications needed to thrive in a full-time mining position, and why are they important?

To thrive in a full-time mining role, you generally need physical stamina, mechanical aptitude, and a solid understanding of safety protocols, often supported by a high school diploma or relevant vocational training. Familiarity with heavy machinery, mine safety certification (such as MSHA), and experience with mining software or equipment are typically required. Attention to detail, teamwork, and strong problem-solving abilities help individuals excel in challenging and dynamic environments. These skills and qualities are vital for ensuring operational efficiency, maintaining safety standards, and adapting to the demanding conditions of mining work.

What are some common challenges faced by full-time mining professionals, and how can they be effectively managed?

Full-time mining professionals often encounter challenges such as working in remote locations, managing long shifts, and adapting to physically demanding environments. Safety is a top priority, requiring constant adherence to protocols and ongoing training. To manage these challenges, it's important to build resilience, communicate effectively with team members, and remain proactive about safety and well-being. Many mining companies also offer support programs and opportunities for skill development, helping employees adapt and advance in their careers.

What is the difference between Full Time Mining vs Part Time Mining?

AspectFull Time MiningPart Time Mining
Work HoursTypically 40+ hours per weekFewer hours, often less than 20 hours per week
Employment StatusFull-time employee with benefitsPart-time employee or contractor
CertificationsRequired certifications often the sameSame certifications, but less frequently required
Work EnvironmentMining sites, industrial settingsSimilar environments, but less time on-site

Full Time Mining involves working standard full-time hours with benefits, while Part Time Mining offers fewer hours and more flexible schedules. Both roles typically require similar certifications and work in the same industrial environments, but the commitment level differs significantly.

Do full time mining make a lot of money?

Full-time mining jobs can offer competitive salaries, especially for experienced workers or those with specialized skills such as operating heavy machinery or working in remote locations. Earnings vary based on factors like location, experience, and the specific role, but many mining positions provide substantial compensation and benefits. However, the job often involves physically demanding work and shift schedules.

How much does a full time mining job pay?

Full-time mining jobs typically pay between $50,000 and $100,000 annually, depending on experience, location, and specific role. Entry-level positions may start lower, while skilled roles such as heavy equipment operators or supervisors tend to earn higher salaries. Certifications and safety training can also influence pay rates.

What is the easiest job to get in the full time mining?

Entry-level positions such as laborer or general worker are typically the easiest jobs to obtain in full-time mining, often requiring minimal experience and offering on-the-job training. These roles usually involve basic physical tasks and may require safety certifications like mine safety training or PPE knowledge.

Which full time mining job pays the most?

In full-time mining roles, underground mine managers and senior engineers tend to have the highest salaries, often exceeding $100,000 annually. These positions require extensive experience, specialized skills, and often certifications such as mine safety training or engineering licenses.

What are the most commonly searched types of Mining jobs in Minnesota?

The most popular types of Mining jobs in Minnesota are:

What cities in Minnesota are hiring for Full Time Mining jobs?

Cities in Minnesota with the most Full Time Mining job openings:

Full Time Mining jobs near you
Infographic showing various Full Time Mining job openings in Minnesota as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $64,768 per year, or $31.1 per hour.

Data Scientist (Statistician) - Direct Hire

Criminal Investigation & Law Enforcement | IRS Careers

Saint Paul, MN • On-site

$125K/yr

Full-time

Posted 8 days ago

Internal Revenue Service rating

7.4

Company rating: 7.4 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

159th of 297 rated public sector bodies

Job description

WHAT IS LARGE BUSINESS AND INTERNATIONALDIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position is to be filled in the following area(s):
    • LBI - ADCCI - Assistant Deputy Commissioner Compliance Integration.


REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILS

Qualifications:Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS (IOR) ALL GRADES:
EDUCATION: A degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
COMBINATION OF EDUCATION AND EXPERIENCE: Combination of education and experience includes courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
AND
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:
  • Experience identifying and assessing the validity and reliability of relevant data sources and retrieving structured and unstructured data in multiple types and formats, including Extensible Markup Language (XML) files and large datasets, for use in data science projects.
  • Experience cleaning, transforming, combining, and integrating structured and unstructured data from multiple sources, including identifying and resolving missing values, outliers, and duplicate records, to prepare data for analysis.
  • Experience applying data-mining process models, including the Cross-Industry Standard Process for Data Mining (CRISP-DM) or Sample, Explore, Modify, Model, Assess (SEMMA), to collect, prepare, analyze, and evaluate data during data science projects.
  • Experience applying statistical methods, probability, statistical inference, hypothesis testing, experimental design, forecasting, and sampling methods to analyze data, evaluate results, and support program or business decisions.
  • Experience developing and evaluating analytical and artificial intelligence models using machine learning, text analytics, natural language processing, large language models, graph theory, link analysis, optimization models, complex adaptive systems, or deep-learning neural networks.
  • Experience using programming languages, query languages, data-intelligence platforms, and data-storage technologies, including R, Python, Structured Query Language (SQL), Java, Databricks, Sybase, Oracle, or open-source databases, to retrieve, process, query, analyze, and integrate data during data science projects.
  • Experience planning, coordinating, monitoring, and evaluating data science projects; reviewing technical deliverables for validity and reliability; and communicating analytical findings, model results, limitations, conclusions, and recommendations to technical and nontechnical stakeholders through written products, presentations, graphs, tables, charts, or business-intelligence products.

AND
You must also meet the following requirements:
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education

For more information on qualifications please refer to OPM's Qualifications Standards.Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

What Internal Revenue Service employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply