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Mining Mn Jobs in Virginia (NOW HIRING)

Data Visualization Engineer (Qlik)

Ashburn, VA · On-site +1

$117K - $140K/yr

... mining, big data, data visualization * At least one year developing dashboards using data ... AL, AR, AZ, CO, DC, FL, GA, ID, IL, IN, MD, MA, ME, MI, MN, MO, MS, NC, NJ, OH, OR, PA, SC, TN, TX, ...

Data Visualization Engineer (Qlik)

Ashburn, VA · On-site +1

$117K - $140K/yr

... mining, big data, data visualization * At least one year developing dashboards using data ... AL, AR, AZ, CO, DC, FL, GA, ID, IL, IN, MD, MA, ME, MI, MN, MO, MS, NC, NJ, OH, OR, PA, SC, TN, TX, ...

Mining Mn information

What is a mining Mn job?

Mining Mn jobs refer to positions involved in the extraction and processing of manganese (Mn) from the earth. Manganese is a critical mineral used primarily in steel production and battery technology. Jobs in this field can include roles such as miners, engineers, geologists, machine operators, and safety inspectors. These professionals work together to locate manganese deposits, manage mining operations, ensure safety standards, and process the raw mineral for industrial use.

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

To thrive as a Mining Manager, you need a strong background in mining engineering, resource management, and compliance with safety and environmental regulations, usually supported by a relevant degree and industry experience. Familiarity with mine planning software, geological modeling tools, and project management systems is essential. Excellent leadership, communication, and problem-solving skills help effectively manage teams and resolve operational challenges. These skills are crucial for ensuring safe, efficient, and profitable mining operations while adhering to legal and environmental standards.

What are some common challenges faced by mining engineers working in manganese extraction, and how are they typically addressed?

Mining engineers in the manganese sector often face challenges such as difficult ore bodies, environmental regulations, and ensuring safety in both open-pit and underground operations. To address these, engineers rely on detailed geological surveys, advanced extraction technologies, and rigorous safety protocols. Collaboration with environmental scientists, geologists, and local authorities is common to ensure compliance and sustainable practices. Staying updated with industry best practices and continuous training helps engineers adapt to evolving challenges and advance in their careers.

What is the difference between Mining Mn vs Mining Geologist?

AspectMining MnMining Geologist
Required CredentialsHigh School Diploma or equivalent; certifications in mining operationsBachelor's degree in geology or earth sciences; often requires licensing or certification
Work EnvironmentMining sites, processing plants, underground or open-pit operationsFieldwork at mining sites, geological surveys, laboratory analysis
Industry UsageOperational roles focused on extraction and processingExploration, assessment, and planning of mining projects

Mining Mn roles primarily involve hands-on mining operations and processing, requiring certifications and experience in extraction techniques. Mining Geologists focus on exploration, geological assessment, and planning, often requiring a degree in geology. Both roles are essential in the mining industry but serve different functions within the mining lifecycle.

Infographic showing various Mining Mn job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 21% Part Time, 8% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Cloud Engineer - Data Science

Reston, VA • On-site

Bonfire Technologies
11 - 50 employees

Full-time

Re-posted 25 days ago


Job description

Job Summary:
BONFIRE TECHNOLOGIES LLC is seeking a skilled Data Scientist to help analyze large amounts of raw information to find patterns and optimize performance. The role involves building data products, analyzing trends, and using machine learning to inform better business decisions.
Responsibilities:
• Research and detect valuable data sources and automate collection processes
• Perform preprocessing of structured and unstructured data
• Review large amounts of information to discover trends and patterns
• Create predictive models and machine-learning algorithms
• Modify and combine different models through ensemble modeling
• Organize and present information using data visualization techniques
• Develop and suggest solutions and strategies to business challenges
• Work together with engineering and product development teams
Qualifications:
Required:
• 2+ years' experience of working on Data Scientist or Data Analyst position
• Significant experience in data mining, machine-learning and operations research
• Good experience using business intelligence tools (such as Tableau) and data frameworks (such as Hadoop)
• Good knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
• Strong math and analytical skills, with business acumen
• Strong communication and presentation skills
• Good problem-solving abilities
• BSc or BA degree in Computer Science, Engineering or other relevant area
Preferred:
• graduate degree in Data Science or other quantitative field
Company:
We offer enterprise-wide technology services for small and mid-sized companies. Founded in , the company is headquartered in St Louis Park, MN, US, , with a team of 2-10 employees. The company is currently Early Stage.