2

Remote Mining Engineering Jobs in Washington (NOW HIRING)

... MLOps and DevOps teams * Proficiency in SQL, Python, and data analysis/data mining tools ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

... MLOps and DevOps teams * Proficiency in SQL, Python, and data analysis/data mining tools ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

... MLOps and DevOps teams * Proficiency in SQL, Python, and data analysis/data mining tools ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

next page

Showing results 1-20

Remote Mining Engineering information

See Washington salary details

$37.4K

$101K

$160.8K

How much do remote mining engineering jobs pay per year?

As of Jun 11, 2026, the average yearly pay for remote mining engineering in Washington is $101,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,300.00 and $123,500.00 per year, depending on experience, location, and employer.

What are typical day-to-day responsibilities for a Remote Mining Engineer?

As a Remote Mining Engineer, your daily responsibilities may include designing mine layouts, analyzing geological data, creating production plans, and monitoring mining operations via specialized software tools. You’ll frequently collaborate with on-site engineers, geologists, and project managers through virtual meetings and report on project progress or safety concerns. Documenting findings, optimizing processes for efficiency, and ensuring regulatory compliance are also integral parts of the role. While you’ll work remotely, effective communication and timely response to on-site teams are critical for success. This setup allows for flexibility while still having a significant impact on mining operations and project outcomes.

What are the key skills and qualifications needed to thrive in the Remote Mining Engineering position, and why are they important?

To thrive as a Remote Mining Engineer, you need a strong background in mining engineering or a related field, paired with solid analytical and problem-solving skills. Proficiency in mining software (such as Surpac, Vulcan, or AutoCAD), experience with remote sensing technologies, and relevant certifications like a Professional Engineer (PE) license are commonly required. Strong communication, self-motivation, and effective time-management skills are essential for collaborating with on-site teams while working remotely. These competencies ensure safe, efficient mine planning and operations, even when working from off-site locations.

What is a Remote Mining Engineering job?

A Remote Mining Engineering job involves overseeing mining operations, designing efficient extraction methods, and ensuring safety, all while working remotely. Engineers use advanced software, remote monitoring tools, and data analysis to optimize mining activities without being physically present at the site. This role requires strong technical knowledge, communication skills, and the ability to collaborate with on-site teams. It is common in companies that use automated or teleoperated mining equipment.

What are the most commonly searched types of Mining Engineering jobs in Washington? The most popular types of Mining Engineering jobs in Washington are:
What are popular job titles related to Remote Mining Engineering jobs in Washington? For Remote Mining Engineering jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Mining Engineering jobs in Washington look for? The top searched job categories for Remote Mining Engineering jobs in Washington are:
What cities in Washington are hiring for Remote Mining Engineering jobs? Cities in Washington with the most Remote Mining Engineering job openings:
Infographic showing various Remote Mining Engineering job openings in Washington as of June 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $101,009 per year, or $48.6 per hour.
Senior Product Manager (Data Science TS/SCI) with Security Clearance

Senior Product Manager (Data Science TS/SCI) with Security Clearance

VivSoft Technologies LLC

Springfield, VA • On-site, Remote

$132K - $174K/yr

Other

Medical, Dental, Life, Retirement, PTO

Posted 22 days ago


Job description

About VivSoft VivSoft is a mission-driven technology company specializing in Cloud, DevSecOps, Artificial Intelligence, and Digital Experience. We are a diverse team of innovators focused on creating open, scalable, and automated solutions that drive digital transformation in federal space. Our work culture fosters collaboration, creativity, and continuous learning.

Position Overview The Senior Product Manager / Data Science for the NGA AI/ML Program serves at the intersection of advanced analytics, machine learning, and mission-driven product strategy. This role operates at the forefront of AI and deep learning technologies, enabling transformational outcomes within the National Geospatial-Intelligence Agency's Digital Intelligence Environment (DIE). Key Responsibilities As a Senior Product Manager / Data Scientist on the NGA AI/ML Program, you will: * Analyze large, complex datasets to identify patterns, trends, and insights that improve NGA mission capabilities.

Work collaboratively within multidisciplinary teams to solve complex, interdependent analytical and operational challenges. Identify high-value data sources and automate data collection, ingestion, and mining processes. * Perform preprocessing and feature engineering on structured and unstructured datasets.

Translate analytical findings into actionable product insights and recommendations. Provide strategic guidance on the applicability and direction of industry-standard AI/ML solutions. * Contribute specialized expertise to define near- and long-term product milestones and roadmaps.

Monitor model and product performance, supporting continuous improvement and long-term planning. Evaluate organizational operational and functional baselines using data-driven and industry best-practice approaches. * Participate in account strategy sessions, technical reviews, and design reviews to validate enterprise AI/ML approaches.

Stay current with emerging AI/ML technologies, research, tools, lessons learned, and best practices, applying them to NGA's mission environment. Serve as an interface between stakeholders, users, data scientists, and engineering teams. * Engage directly with users to uncover underlying needs and validate analytical and product solutions.

Collaborate with product managers, program managers, engineers, and external partners to shape product vision and execution. Work closely with software engineering and MLOps teams to deliver scalable, secure, and mission-ready ML solutions. * Support the full product lifecycle, from concept and experimentation through deployment, evaluation, and sustainment.

Communicate and advocate product and analytical insights to both technical and non-technical audiences. Represent the NGA AI/ML Program at government and industry events as needed. Required Qualifications * Bachelor's degree in Computer Science, Mathematics, Engineering, Information Technology, Business, or a related discipline.

Strong critical-thinking skills with the ability to support collaborative problem solving in a team-based environment. Experience working in Agile/Scrum environments; familiarity with Agile methodologies or certifications (e.g., Scrum Master). * Working knowledge of multiple programming languages and statistical packages, as well as data tooling used in AI/ML environments.

Experience analyzing large datasets and applying analytical methods to drive product and mission decisions. Strong analytical and problem-solving skills, with the ability to use data and metrics to inform product strategy. * Minimum of 6 months of experience working in or supporting AI-related initiatives.

Demonstrated adaptability and curiosity in AI, including continuous learning through research, coursework, workshops, or hands-on experimentation. Desired Qualifications Master's degree in Computer Science, Mathematics, Engineering, Information Technology, Business, or a related field. * Relevant certifications in Product Management, Project Management, Agile, or Data Science.

Experience leading or contributing to high-performing teams delivering IT or AI-enabled solutions. Deeper familiarity with AI/ML concepts, algorithms, and current industry trends. * Experience working in cross-functional environments with data scientists, engineers, vendors, and military professionals.

Prior experience supporting joint military, Intelligence Community, or DoD environments. Benefits: Comprehensive Medical, Dental, and Visions Plans Life Insurance Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays) 401K Retirement Plan with employer match Professional Development Training Reimbursement * Flexible/remote work schedule.