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Remote Mining Engineering Jobs in Washington, DC

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site +1

You will work closely with software developers, systems architects, and government stakeholders to ... Develop and apply machine learning, statistical, and data mining techniques to extract metrics and ...

Sparibis

Azure Data Architect

Washington, DC · On-site +1

$72.25 - $92.75/hr

Location: 100% Remote. This is a United States based position, and candidates must reside in the ... Expertise in statistical modeling, machine learning algorithms, and data mining techniques. * Must ...

Serco USA

Data Analyst - (100% Remote)

Washington, DC · On-site +1

Position Description & Qualifications If you love high profile and challenging programing projects ... Apply data mining techniques to large data sets to identify patterns, relationships and behaviors

Maximus

Junior Biostatistician

VA · On-site +1

... data mining, and machine learning. The position requires strong data engineering capabilities ... Remote EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants ...

Aggreko

Sales Representative, Data Centers

Washington, DC · Remote

$75K - $85K/yr

From world-class events that last a few weeks to mining operations and remote communities who rely ... Collaborate with engineering and operations teams to design customized power, cooling, and energy ...

Celonis

Account Executive - Federal

Washington, DC · On-site +1

$163K - $193K/yr

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology ... Collaborate with Value Engineering or personally conduct comprehensive presentations and ...

Celonis

Account Executive - Federal

Washington, DC · On-site +1

$163K - $193K/yr

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology ... Collaborate with Value Engineering or personally conduct comprehensive presentations and ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$77K - $176K/yr

... data mining * Experience with statistical and general-purpose programming languages for data ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site +1

You will work closely with software developers, systems architects, and government stakeholders to ... Develop and apply machine learning, statistical, and data mining techniques to extract metrics and ...

Aris

Executive Value Advisor (USA remote)

Reston, VA · On-site +1

Bachelor's degree in business, engineering, computer science, information systems, or equivalent experience * Fluent in English Nice-to-Haves * Background in BPM, process intelligence, process mining ...

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Showing results 21-40

All JobsMining Engineering JobsRemote Mining Engineering JobsRemote Mining Engineering Jobs in Washington, DC

Remote Mining Engineering information

See Washington, DC salary details

$37.4K

$101K

$160.8K

How much do remote mining engineering jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote mining engineering in Washington, DC 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.

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Remote Mining Engineering jobs near you

Senior BI Data Researcher

Dhaka Technologies Limited Company

Washington, DC • Remote

$140K - $160K/yr

Full-time

Posted 6 days ago

Job description

Job Title: Senior BI Data Researcher
Work Arrangement: 100% Remote
Location: Remote (United States)
Employment Type: Full Time
Engagement Type: Direct Hire
Final Interview:

Position Summary

Dhaka Technologies Limited Company is hiring a Senior BI Data Researcher for a direct-hire client in the education and research sector. This is a full-time, 100% remote position with a base salary of $140,000 to $160,000 per year. The role focuses on advanced research and engineering across the modern data landscape, including big data management, self-service data cleaning and transformation at scale, data quality, search and discovery of structured data, information extraction, time-series and heterogeneous data analytics, metadata management, applied AI, machine learning and data mining, data visualization, and natural language processing. The work also spans big data systems concerns such as resource management, storage, caching, query processing, query optimization, security, and privacy.

Key Responsibilities

  1. Investigate heterogeneous data management techniques and polystore systems, including the application of AI and machine learning techniques to foundational data management problems such as data quality, data profiling, data integration, and schema matching.
  2. Develop tools and frameworks that enable scalable development of machine learning models and data science algorithms across data domains, including tabular, time series, text, audio, and video.
  3. Create distributed data processing architectures that leverage compute at the edge to enable novel use cases and applications such as predictive routing, data-driven experiences, and adaptive environments.
  4. Collaborate with peer research teams to identify and pursue data-related opportunities in adjacent domains, including applied AI and machine learning in audio and video.

Required Skills and Qualifications

  1. PhD in Computer Science or a closely related field.
  2. Strong background in relational databases, big data systems, and data analytic systems.
  3. Expertise in data management, data cleaning, distributed systems, database storage engines, query processing, query optimization, and applied data science.
  4. Hands-on experience developing machine learning models and data science algorithms across diverse data types, including tabular, time series, text, audio, and video.
  5. Working knowledge of Git and project management tools such as JIRA.

How to Apply

To apply, please submit your resume to talent@dhakatech.us with the job title in the subject line. Qualified candidates will be contacted for the next steps in the selection process.

This is a remote position.