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Tech Mining Jobs in Washington (NOW HIRING)

Data Visualization Engineer (Qlik)

Ashburn, VA · On-site

$117K - $140K/yr

... data mining, big data, data visualization * At least one year developing dashboards using data visualization technologies, such as PowerBI, Qlik Sense, or Tableau * Experience in data modeling ...

Data Visualization Engineer (Qlik)

Ashburn, VA · On-site +1

$117K - $140K/yr

... data mining, big data, data visualization * At least one year developing dashboards using data visualization technologies, such as PowerBI, Qlik Sense, or Tableau * Experience in data modeling ...

Data Visualization Engineer (Qlik)

Ashburn, VA · On-site +1

$117K - $140K/yr

... data mining, big data, data visualization * At least one year developing dashboards using data visualization technologies, such as PowerBI, Qlik Sense, or Tableau * Experience in data modeling ...

Data Scientist

Washington, DC · On-site

$120K - $135K/yr

... technology and the mission. Essential Duties and Responsibilities: * Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and ...

Showing results 21-40

Tech Mining information

See Washington salary details

$19

$30

$38

How much do tech mining jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for tech mining in Washington is $30.39, according to ZipRecruiter salary data. Most workers in this role earn between $26.39 and $33.75 per hour, depending on experience, location, and employer.

What is tech mining?

Tech mining, short for technology mining, is the process of analyzing large sets of scientific and technological information—such as patents, research articles, and technical reports—to extract insights about technological trends, emerging innovations, and competitive landscapes. It combines methods from data mining, bibliometrics, and information science to help organizations make informed decisions about research and development, investment, and strategy. Tech mining is commonly used by corporations, research institutions, and government agencies to identify opportunities and threats in technology-driven markets.

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

To thrive as a Tech Mining Specialist, you need expertise in data analysis, information retrieval, and a strong understanding of technology trends, often backed by a degree in information science, engineering, or a related field. Familiarity with text mining software (such as VantagePoint or PatentSight), databases, and analytical tools like Python or R is typically required. Analytical thinking, attention to detail, and strong communication skills help convey complex insights to stakeholders. These abilities are crucial for extracting actionable intelligence from large datasets and supporting strategic decision-making in technology-driven industries.

What are the main challenges faced by professionals working in tech mining, and how can they be addressed?

Professionals in Tech Mining often face challenges such as managing large volumes of complex data, staying updated with rapidly evolving technologies, and ensuring the accuracy of insights derived from various information sources. Addressing these challenges requires strong analytical skills, continuous learning, and proficiency with specialized data mining and visualization tools. Collaboration with R&D teams and subject matter experts is also essential to interpret findings correctly and translate them into actionable strategies for innovation and competitive advantage.

What is the difference between Tech Mining vs Data Analyst?

AspectTech MiningData Analyst
Required CredentialsTypically requires degrees in computer science, data science, or related fields; certifications like Python, SQL, or data mining toolsUsually needs degrees in statistics, mathematics, or related fields; certifications in Excel, SQL, or data visualization tools
Work EnvironmentOften involves working with large datasets, data mining software, and programming languages in tech or research settingsPrimarily analyzes data sets, creates reports, and visualizations in business or corporate environments
Employer & Industry UsageUsed in tech companies, research institutions, and industries focusing on data discovery and extractionCommon in finance, marketing, healthcare, and business sectors for data interpretation

While both roles involve working with data, Tech Mining focuses on extracting valuable information from large datasets using specialized tools and techniques, often requiring programming skills. Data Analysts interpret and visualize data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

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

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

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

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

Infographic showing various Tech Mining job openings in Washington as of August 2026, with employment types broken down into 2% As Needed, 70% Full Time, 10% Part Time, 2% Temporary, 15% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $63,220 per year, or $30.4 per hour.

Principal II - Fraud Analytics Lead (Consulting Manager) (Lanham)

Dovel Technologies, Inc

Lanham, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 3 days ago


Job description

## Principal II - Fraud Analytics Lead (Consulting Manager)Applylocations: US - VA, Arlingtontime type: Full timeposted on: Posted Todayjob requisition id: 42631Job Family:Data Science & AnalysisTravel Required:NoneClearance Required:Ability to Obtain Public TrustWhat You Will Do: The Principal II Fraud Analytics Lead will provide strategic technical leadership for fraud analytics operations, analytical methodologies, platform integration activities, and investigative initiatives. This position establishes analytical approaches, guides technical direction across workstreams, and advises stakeholders on complex fraud detection and analytic challenges. * Establish analytical strategies, methodologies, and priorities supporting fraud analytics, predictive analytics, forensic analysis, data mining, and cybersecurity monitoring initiatives.* Develop and apply in-depth analyses of complex data to identify fraudulent activity, anomalous behavior, root causes, emerging risks, and potential attack vectors.* Exercise independent judgment in selecting analytical methods, techniques, tools, and evaluation criteria to obtain results and inform decision-making.* Provide technical leadership, mentorship, and strategic direction across analytical workstreams while reviewing and approving complex analytical products and recommendations.* Define, refine, and oversee implementation of fraud indicators, detection methodologies, predictive models, analytical frameworks, and statistical analysis approaches.* Collaborate with stakeholders to integrate data mining results with existing systems, improve analytics performance, and recommend process or technology enhancements.* Prepare and present technical briefings, reports, executive summaries, dashboards, and recommendations based on analytical findings and operational priorities.* Support data ingestion, schema alignment, data quality review, extract, transform, load activities, and analytics workflow improvements.* Identify alternative applications for existing tools, techniques, and technologies to improve fraud analytics outcomes and operational effectiveness.* Advise government and contractor leadership on fraud trends, emerging risks, analytical priorities, and opportunities to improve fraud detection effectiveness.* Work onsite at the client location in Lanham, Maryland five (5) days per week and collaborate closely with government personnel and contractor team members.What You Will Need:* Ability to obtain and maintain a Public Trust clearance.* Bachelor's degree in Data Science, Computer Science, Cybersecurity, Information Systems, Statistics, Mathematics, Engineering, Operations Research, Information Science, or a STEM related field.* EIGHT (8) or more years of professional experience supporting fraud analytics, cybersecurity analytics, data science, data engineering, predictive analytics, incident response, investigations, platform advisory, or related technical delivery.* Experience leading analytical workstreams, technical tasks, or program segments in data analytics, fraud analytics, cybersecurity, systems integration, or platform advisory environments.* Experience establishing analytical strategies, technical approaches, or fraud detection methodologies across multiple teams or workstreams.* Experience developing and applying in-depth analysis of complex data using professional concepts, methodologies, and independent judgment.* Experience with machine learning, statistical modeling, predictive analytics, data mining, link analysis, network analytics, text mining, data visualization, or related analytical techniques.* Experience preparing and presenting technical reports, briefings, dashboards, recommendations, or executive-ready analytical products.* Experience providing technical leadership, direction, or mentorship to team members completing analytics, data integration, documentation, or investigative tasks.* Experience using tools and technologies such as Python, R, Java, Linux shell scripting, SQL/no-SQL databases, Spark, Elasticsearch, Parquet, SIEM platforms including Splunk, Microsoft Word, Microsoft Excel, and Microsoft PowerPoint.* Experience with web development languages and frameworks such as HTML, Python/Flask, JavaScript, CSS, jQuery, or React in support of platform advisory, analytics ecosystem, data/application integration, dashboard, or application-facing analytics work.* Ability and willingness to work onsite at the client location in Lanham, Maryland five (5) days per week.What Would Be Nice To Have:* Experience leading fraud analytics, cybersecurity analytics, data science, or incident response teams in a federal or large enterprise environment.* Experience supporting online application monitoring, identity verification, digital identity, credential service provider integrations, or large-scale transaction monitoring environments.* Experience developing or guiding machine learning models, predictive models, statistical models, analytical algorithms, fraud indicators, or detection logic.* Experience with SIEM platforms, including Splunk, cybersecurity monitoring technologies, or large-scale log analysis.* Experience supporting incident response, investigations, open-source research, threat intelligence, or stakeholder coordination.* Experience supporting data ingestion, schema alignment, data source onboarding, data architecture, or analytics workflow integration.* Experience developing dashboards or visualizations using Power BI, Tableau, Spotfire, Microsoft Excel, or similar tools.* Familiarity with Agile delivery methodologies, collaborative development environments, and federal consulting environments.* Candidate currently possesses an active Internal Revenue Service (IRS) Moderate Background Investigation clearance or has held one within the last six (6) months.What We Offer:Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.Benefits include:* Medical, Rx, Dental & Vision Insurance* Personal and Family Sick Time & Company Paid Holidays* Parental Leave* 401(k) Retirement Plan* Group Term Life and Travel Assistance* Voluntary Life and AD&D Insurance* Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts* Transit and Parking Commuter Benefits* Short-Term & Long-Term Disability* Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities* Employee Referral Program* Corporate Sponsored Events & Community Outreach* Care.com annual membership* Employee Assistance Program* Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)* Position may be eligible for a discretionary variable incentive bonusAbout GuidehouseGuidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.*Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.*
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