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Mining Jobs in Silver Spring, MD (NOW HIRING)

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions ...

Booz Allen Hamilton, Inc.

AI and ML Engineer

Chantilly, VA · On-site

$99K - $225K/yr

AI and ML Engineer The Opportunity: As an experienced engineer, you know that machine learning (ML) is critical to understanding and processing massive datasets. Your ability to conduct statistical ...

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Showing results 41-60

All JobsMining JobsMining Jobs in Silver Spring, MD

Mining information

See Silver Spring, MD salary details

$17

$27

$35

How much do mining jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for mining in Silver Spring, MD is $27.74, according to ZipRecruiter salary data. Most workers in this role earn between $24.09 and $30.82 per hour, depending on experience, location, and employer.

What are mining jobs?

Mining jobs involve the extraction of minerals, metals, and other geological materials from the earth. These positions can range from operating heavy machinery and explosives to supervising mine operations, conducting geological surveys, or ensuring safety compliance. Mining professionals work in various environments, including underground mines, open-pit mines, and quarries. The industry offers a wide range of roles, including engineers, geologists, equipment operators, and safety inspectors. Mining jobs often require specialized training and adherence to strict safety standards due to the potentially hazardous nature of the work.

What are different careers in the mining industry?

Careers in mining include mine workers, technicians, and other laborers who work at and manage mining sites. Other mining industry positions include engineers, surveyors, and scientists who help design mine infrastructure, explore potential new sites, and analyze samples that are collected from survey sites or during the extraction process. There are also employees whose responsibilities include transporting mining equipment in and carrying out minerals and other natural materials. Depending on the job, you may spend most of your time on a mining site or perform the bulk of your duties in an office or lab setting.

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

To thrive in mining, you need a solid understanding of geology, mining methods, and safety protocols, often supported by a degree in mining engineering or related fields. Familiarity with mining software (like Surpac or MineSight), heavy machinery, and relevant safety certifications (such as MSHA or OSHA) is essential. Strong problem-solving, teamwork, and communication skills help professionals adapt to challenging environments and coordinate effectively. These skills and qualifications ensure safe operations, resource optimization, and compliance with industry standards in a demanding industry.

What are common challenges faced by mining professionals in maintaining safety standards on-site?

Mining professionals often encounter challenges such as operating heavy machinery in hazardous conditions, ensuring compliance with strict safety regulations, and adapting to changing geological environments. Maintaining safety standards requires constant vigilance, regular training, and effective communication among team members. Collaborative efforts between engineers, supervisors, and safety officers are essential to identify potential risks and implement proactive measures, making teamwork and adaptability crucial skills in this role.

What is the difference between Mining vs Drilling?

AspectMiningDrilling
Primary FocusExtraction of minerals, ores, and resources from the earthCreating boreholes or shafts to access underground or surface resources
Work EnvironmentSurface and underground sites, often in remote locationsSurface or underground, often on construction or exploration sites
CertificationsMining safety certifications, heavy equipment operationDrilling certifications, safety training
Industry UsageMining companies, resource extraction industriesOil & gas, mineral exploration, construction

Mining involves extracting minerals and resources from the earth, often requiring heavy machinery and safety certifications. Drilling focuses on creating boreholes for resource access, used in oil, gas, and mineral exploration. While both roles operate in resource industries and may share safety training, their primary tasks and environments differ significantly.

Do miners get paid well?

Mining jobs typically offer competitive wages, especially for experienced workers and those with specialized skills or certifications. Salaries can vary based on location, experience, and the type of mining, with many positions also providing benefits and overtime pay.

How can I get into a mining job?

To get into a mining job, candidates typically need a high school diploma or equivalent, relevant safety certifications, and physical fitness. Prior experience or training in operating heavy machinery or understanding mining safety protocols can improve job prospects, and some positions may require specialized technical skills or apprenticeships.
More about Mining jobs

What are the most commonly searched types of Mining jobs in Silver Spring, MD?

The most popular types of Mining jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Mining jobs?

Cities near Silver Spring, MD with the most Mining job openings:

Mining jobs near you
Infographic showing various Mining job openings in Silver Spring, MD as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 100% In-person job distribution, with an average salary of $57,704 per year, or $27.7 per hour.

Data Scientist - Tech - Top Secret required to apply - DC area

Bow Wave LLC

Reston, VA • On-site

$165K - $175K/yr

Full-time

Re-posted 19 days ago

Job description

Conducts data analytics, data engineering, data mining, exploratory analysis, predictive
analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical,
written, visual and verbal narrative products, enabling more informed analytic decisions.
Proactively retrieves information from various sources, analyzes it for better understanding about
the data set, and builds AI tools that automate certain processes. Duties typically include:
creating various ML-based tools or processes, such as recommendation engines or automated
lead scoring systems. Performs statistical analysis, applies data mining techniques, and builds
high quality prediction systems. Should be skilled in data visualization and use of graphical
applications, including Microsoft Office (Power BI) and Tableau; major data science languages,
such as R and Python; managing and merging of disparate data sources, preferably through R,
Python, or SQL; statistical analysis; and data mining algorithms. Should have prior experience
with large data Multi-INT analytics, ML, and automated predictive analytics.
Contractor shall:
• Create data packages, in the form of databases, reports, and visualization'
• Communicate ongoing data science activities, technical findings, and data products for both
technical and non-technical customers
• Extract relevant features from large data stores containing open source, PIA, and CAI,
containing bad records, partial records, errors, or other forms of "noising."
• Extract features from open source information stored in a wide range of possible formats,
including JSON, XML, raw text logs, industry-specific encodings, and graph link data;
• Apply natural language processing, computer vision, signal processing, and speaker and speech
recognition algorithms to identify objects in text, image, video, and audio files;
• Apply descriptive and inferential statistics to describe data and make
predictions about the data, including statistical tests to determine confidence for a hypothesis,
common summary statistics (e.g. mean, variance, and counts), fit distributions to datasets and
use those distributions to predict event likelihoods;
• Be able to execute data science method using parallel computing
frameworks (e.g. deepleaming4j, Torch, Tensor Flow, Caffe, Neon, NVIOFFICE CUDA Deep
Neural Network library (cuDNN), and OpenCV)) and distributed data processing frameworks
( e.g. Hadoop (including HDFS, Hbase, Hive, Impala, Giraph, Sqoop ), Spark (inlcuding MLib,
GraphX, SQL and Dataframes)
• Be able to execute data science method using common programming/scripting
languages: Python, Java, Scala, R (statistics).

Apply