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Mining Manager Jobs in Washington (NOW HIRING)

Elder Research

Project Manager

Arlington, VA · On-site

Project Manager General Information Requisition # 676 Locations USA-VA-Arlington Posting Date 03/04 ... text mining, and graph analytics * Agile Certified * Multi-year experience growing and expanding ...

Elder Research

Project Manager

Arlington, VA · Hybrid

Project Manager General Information Requisition # 676 Locations USA-VA-Arlington Posting Date 03/04 ... text mining, and graph analytics * Agile Certified * Multi-year experience growing and expanding ...

Quevera

Application Engineer IV

Hanover, MD · On-site

... mining, advanced analytics, data management, machine learning, or artificial intelligence. • Experience with developing cyber security related analytics. • Experience with running analytics ...

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Showing results 41-60

All JobsMining JobsMining Manager JobsMining Manager Jobs in Washington

Mining Manager information

See Washington salary details

$64K

$110.7K

$190.8K

How much do mining manager jobs pay per year?

As of Aug 16, 2026, the average yearly pay for mining manager in Washington is $110,735.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,400.00 and $126,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a mining manager?

To thrive as a Mining Manager, you need strong leadership abilities, a solid background in mining engineering or geology, and relevant industry experience, often supported by a degree and professional certifications. Familiarity with mine planning software, safety management systems, and regulatory compliance tools is essential. Exceptional problem-solving, communication, and decision-making skills help you effectively manage teams and operations. These skills are crucial for ensuring safe, efficient, and profitable mining operations while meeting regulatory and environmental standards.

What are some common challenges mining managers face when overseeing multiple mining operations?

Mining Managers often encounter challenges such as coordinating activities across geographically dispersed sites, ensuring consistent compliance with safety and environmental regulations, and managing diverse teams with varying skill sets. Effective communication and strong organizational skills are crucial to address shifting production targets, equipment maintenance issues, and logistical complexities. Additionally, Mining Managers must stay updated on technological advancements and evolving industry standards to optimize processes and support sustainable operations.

What is the difference between Mining Manager vs Mine Engineer?

AspectMining ManagerMine Engineer
Primary RoleOversees entire mining operations, manages teams, and ensures safety and productivityDesigns and plans mining operations, focusing on technical and engineering aspects
Required CredentialsMining engineering degree, management experience, certifications in safety and operationsMining engineering degree, technical certifications, and experience in mine design
Work EnvironmentOffice-based with site visits, leadership in operational settingsFieldwork at mining sites, technical planning and design
Industry UsageCommonly used in large-scale mining operations and corporate managementUsed in technical planning, design, and project development phases

The main difference between a Mining Manager and a Mine Engineer lies in their focus: the Mining Manager oversees overall operations and team management, while the Mine Engineer concentrates on technical design and planning. Both roles require mining engineering credentials, but their responsibilities and work environments differ significantly.

What does a mining manager do?

A Mining Manager oversees the daily operations of a mining site, ensuring that production targets are met safely and efficiently. They are responsible for managing staff, coordinating activities, complying with safety and environmental regulations, and optimizing resource extraction. Mining Managers also develop budgets, work with engineers and geologists, and report on the mine’s progress and challenges. Their role is critical in balancing productivity with safety and sustainability.

What qualifications do I need to be a mining manager?

A mining manager typically needs a bachelor's degree in mining engineering, geology, or a related field, along with several years of experience in mining operations. Professional certifications such as Mine Safety and Health Administration (MSHA) training and strong leadership, technical, and safety skills are also important for the role.

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

The most popular types of Mining jobs in Washington are:

What are popular job titles related to Mining Manager jobs in Washington?

For Mining Manager jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Mining Manager jobs in Washington look for?

The top searched job categories for Mining Manager jobs in Washington are:

What cities in Washington are hiring for Mining Manager jobs?

Cities in Washington with the most Mining Manager job openings:

Mining Manager jobs near you
Infographic showing various Mining Manager job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $110,735 per year, or $53.2 per hour.

Data Scientist (Subject Matter Expert)

Bigbear.ai

Washington, DC

$189K - $227K/yr

Full-time

Re-posted 26 days ago

Job description

Overview

BigBear.ai is seeking a Data Scientist Subject Matter Expert (SME) to lead a team of data scientists and engineers conducting data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis using scientific techniques to correlate data into graphical, written, visual, and verbal narrative products to enable more informed analytic decisions. The successful candidate will demonstrate a refined ability to define problems, supervise studies, and lead surveys to collect and analyze data to provide advice and recommend solutions. Additionally, the candidate will also demonstrate analytic leadership and expertise in identifying, planning, developing, and executing analytic production methodologies, tradecraft, and techniques aligned with the customer’s mission. This position will be based out of Washington, D.C. or the greater National Capital Region (NCR) and is an opportunity to get in on the “ground level” of a new and exciting program with one of our customers.


Responsibilities

In addition to the above, duties for this position typically include: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Perform statistical analysis, apply data mining techniques, and build high quality prediction systems. The successful candidate 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. Additionally, the candidate should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.


Qualifications

  • Must possess a TS/SCI clearance with a CI poly

  • Master’s degree in data science, data engineering, mathematics, or another related field (an additional 5 years of experience may be substituted for this requirement)

  • Minimum of 12 years of experience conducting analysis using data science or engineering, with at least a portion of experience within the last 2 years

  • Deep understanding and experience using Python, R, and/or SQL

  • Prior experience with large data, multi-INT analytics, machine learning, and automated predictive analytics

  • Demonstrable leadership and management experience on teams of junior to mid-range data scientists, engineers, or analysts