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Mining Engineer Jobs in Baltimore, MD (NOW HIRING)

Allovue

Software Engineer

Baltimore, MD · On-site +1

Those areas may include: * front-end development * back-end development * data mining * operations ... Excellent designer of APIs for other developers (and future self!) * Solid understanding of both ...

Allovue

Software Engineer

Baltimore, MD · On-site +1

Those areas may include: * front-end development * back-end development * data mining * operations ... Excellent designer of APIs for other developers (and future self!) * Solid understanding of both ...

Allovue

Software Engineer (Remote)

Baltimore, MD · Remote

Those areas may include: * front-end development * back-end development * data mining * operations ... Excellent designer of APIs for other developers (and future self!) * Solid understanding of both ...

Peraton

Senior Software Engineer

Annapolis Junction, MD · On-site

$125K - $165K/yr

They are seeking a Senior Software Engineer to provide IC data management support and develop ... mining. • Skilled with data flows, Pig scripting, Hadoop MapReduce, and various analytic tools ...

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Showing results 21-40

All JobsMining Engineer JobsMining Engineer Jobs in Baltimore, MD

Mining Engineer information

See Baltimore, MD salary details

$32.8K

$88.6K

$141.1K

How much do mining engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for mining engineer in Baltimore, MD is $88,616.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $108,300.00 per year, depending on experience, location, and employer.

What is a mining engineer?

Mining engineers are professionals who design, develop, and manage systems for extracting minerals from the earth safely, efficiently, and sustainably. They are involved in every stage of a mining project, from exploration and feasibility studies to mine design, operations, and closure. Mining engineers work to optimize the extraction process, ensure environmental compliance, and maintain the safety of workers and surrounding communities. Their expertise is critical in balancing economic, environmental, and technical factors in mining operations.

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

To thrive as a Mining Engineer, you need a solid background in mining engineering principles, geology, and mathematics, typically supported by a bachelor’s degree in mining engineering or a related field. Familiarity with mining software such as Surpac, MineSight, or AutoCAD, and relevant certifications like a Professional Engineer (PE) license, are often required. Strong problem-solving abilities, communication skills, and attention to safety help distinguish top performers in this role. These skills ensure efficient mine design, regulatory compliance, and safe, productive operations in complex mining environments.

What are some common challenges mining engineers face when working on-site, and how can they prepare for them?

Mining Engineers often encounter challenges such as adapting to remote or harsh work environments, ensuring compliance with rigorous safety regulations, and balancing productivity targets with environmental sustainability. Effective communication and collaboration with geologists, equipment operators, and environmental specialists are crucial for overcoming these challenges. Preparing by gaining hands-on experience, staying current with safety protocols, and developing strong problem-solving skills can help Mining Engineers succeed and adapt to dynamic site conditions.

What is the difference between Mining Engineer vs Geologist?

AspectMining EngineerGeologist
Required CredentialsBachelor's in Mining Engineering, Professional Engineer (PE) license often preferredBachelor's or Master's in Geology or Earth Sciences, relevant certifications
Work EnvironmentMining sites, construction sites, engineering officesResearch labs, field sites, environmental agencies
Industry UsageDesigning and managing mining operations, ensuring safety and efficiencyStudying earth materials, assessing mineral deposits, environmental impact

Mining Engineers focus on planning, designing, and managing mining operations, ensuring safety and efficiency. Geologists analyze earth materials and assess mineral deposits. While both roles work closely in the mining industry, Mining Engineers handle the operational side, whereas Geologists focus on exploration and analysis.

Are mining engineers paid well?

Mining engineers typically earn competitive salaries that reflect their technical expertise and the demanding nature of the industry. Salaries can vary based on experience, location, and the complexity of projects, with many earning above average wages for engineering roles. Additionally, benefits such as bonuses and overtime can contribute to overall compensation.

How much do mining engineers get paid?

Mining engineers typically earn a median annual salary of around $90,000, with salaries ranging from approximately $60,000 to over $130,000 depending on experience, location, and industry. Higher salaries are common in regions with active mining operations and for those with specialized skills or advanced certifications.

What do you do as a mining engineer?

A mining engineer designs, plans, and oversees the extraction of minerals from underground or surface mines. They evaluate geological data, develop safety procedures, and use specialized tools and software to optimize mining operations. The role often requires knowledge of environmental regulations and safety standards.
More about Mining Engineer jobs

What job categories do people searching Mining Engineer jobs in Baltimore, MD look for?

The top searched job categories for Mining Engineer jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Mining Engineer jobs?

Cities near Baltimore, MD with the most Mining Engineer job openings:

Mining Engineer jobs near you
Infographic showing various Mining Engineer job openings in Baltimore, MD as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $88,616 per year, or $42.6 per hour.

ME00634-Software Engineer 4

Momentum Engineering, Inc.

Annapolis, MD • On-site

Other

Medical, Dental, Vision, Life, PTO

Posted 12 days ago

Job description

Momentum Engineering, Inc. fosters an employee-centric culture. Our strength lies in our people. With a high percentage of employees holding advanced degrees in engineering, computer science, and related disciplines, we bring deep technical expertise to every mission. Our team includes professionals with security clearances and full-scope polygraphs, ensuring trusted, secure support for the most sensitive national security initiatives. Additionally, our workforce is equipped with industry-leading certifications, demonstrating a commitment to continuous learning and excellence. Most importantly, our exceptional employee retention rate reflects a culture of professional growth, mission focus, and dedication-ensuring long-term stability and expertise for our customers' critical needs.
Job Summary
  • Seeking a senior software engineer to help integrate AI-enabled capabilities into analyst workflows and mission systems to accelerate cyber data triage, improve decision support, and enhance operational effectiveness
  • This role is ideal for a technically strong engineer who understands how to stand up, assess, and guide modern AI platforms in secure government settings, with familiarity in cloud and enterprise ecosystems such as Microsoft Azure and Amazon Web Services (AWS)

Primary Responsibilities
  • Develop full stack applications and services that leverage large language models (LLMs), retrieval-augmented generation (RAG), agentic workflows, and other emerging AI capabilities
  • Designing, developing, and deploying AI/ML models and tools for data mining, predictive modeling, and knowledge discovery
  • Integrate AI/ML-enabled capabilities into a secure, cloud-based data architecture, ensuring interoperability with existing systems via standardized APIs
  • Implement and monitor model performance, data/concept drift, and key metrics in real time; support model retraining and fine-tuning as new data becomes available
  • Collaborate with data engineers, software developers, and stakeholders to define requirements, validate outputs, and support mission deliverables
  • Ensure all AI/ML workflows comply with DoW cybersecurity, data privacy, and access control requirements, including operation within isolated cloud environments
  • Assist in knowledge transfer and training activities, including the development of tutorials and best practices for AI/ML usage
  • Educate stakeholders on AI platform concepts, emerging patterns, and implementation best practices in government environments
  • Assessing data patterns in systems and network misconfiguration
  • Working with a team of Cyber Analysts to support quick turn requests for vulnerability information by continually improving LLMs
  • Conduct analyses of alternatives (AoAs) to compare internally developed approaches against commercial, open-source, and industry-standard techniques
  • Develop and execute experiments to assess model performance using appropriate evaluation metrics and representative datasets

Required Qualifications
  • Must have active Top Secret/SCI clearance with NSA Full Scope Polygraph
  • Must have a Bachelor of Science in Computer Science, Cybersecurity, Information Systems, or related field and 10+ years of relevant experience
  • Familiarity with machine learning concepts, including model training, evaluation, tuning, and performance measurement
  • Ability to assess model effectiveness using quantitative metrics and communicate tradeoffs
  • Depth of experience with prompt engineering
  • Proficiency in Python and experience developing RESTful APIs and backend services
  • Experience supporting AI/ML, data, cloud, or platform engineering efforts in government, defense, or enterprise environments
  • Understanding of modern AI concepts, including LLMs, embeddings, RAG, vector search, and agentic workflows
  • Demonstrated familiarity with Microsoft and/or AWS platform ecosystems
  • Demonstrated proficiency using command-line interfaces such as Windows PowerShell/Command Prompt for routine development, troubleshooting, scripting, and automation tasks
  • Working knowledge of cloud architecture, containers, APIs, data services, identity/access management, and secure system integration
  • Ability to understand how AI applications depend on underlying platform components such as model hosting, pipelines, storage, orchestration, and monitoring
  • Demonstrated experience in database management, including designing and maintaining relational databases, writing and optimizing SQL queries, implementing backup and recovery procedures, and applying database security and performance best practices
  • Demonstrated experience with configuration management, including defining and maintaining configuration baselines, using configuration management tools e.g., Ansible, Puppet, Chef, Terraform to manage infrastructure and application settings
  • Strong written and verbal communication skills
  • Passionate about AI and platform modernization
  • Ability to rapidly prototype solutions, iterate based on user feedback, and operate effectively in ambiguous problem spaces
  • Able to translate complex technical issues into actionable guidance for mixed technical and non-technical audiences
  • Mission-oriented, collaborative, and proactive

Desired Qualifications
  • No desired qualifications listed at this time

Exempt hourly position. 11 paid holidays, minimum of 3 weeks PTO, company sponsored group medical plan, company paid dental, vision, life insurance, and STD/LTD plans. Salary is dependent upon the candidate's experience and qualifications.
The pay range for this role is:
225,000 - 250,000 USD per year (NBP)

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