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Data Mining Jobs in Virginia (NOW HIRING)

NALLEY CONSULTING

Data Engineer - Sr

Charlottesville, VA · On-site

$107K - $128K/yr

Responsibilities : • Conducting data analytics, data engineering, data mining, exploratory analysis, predicative analysis, and statistical analysis, and uses scientific techniques to correlate data ...

Data Intelligence LLC

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

Apply data mining, graph algorithms, and statistical techniques to support mission objectives * Work with SQL and NoSQL databases, search indexes, and web application servers * Leverage tools such as ...

Leidos

Data Scientist

Springfield, VA · On-site

$92K - $166K/yr

Programming (Python/Pig/Java/JS/SQL/R), spatial analysis, data mining, database structures, visualization. * Statistical/mathematical modeling. * Experience managing data science projects, data ...

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

Conducting data analytics, data engineering, data mining, exploratory analysis, predicative analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical ...

Leidos

Data Scientist

Springfield, VA · On-site

$92K - $166K/yr

Programming (Python/Pig/Java/JS/SQL/R), spatial analysis, data mining, database structures, visualization. * Statistical/mathematical modeling. * Experience managing data science projects, data ...

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

Conducting data analytics, data engineering, data mining, exploratory analysis, predicative analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical ...

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All JobsData Mining JobsData Mining Jobs in Virginia

Data Mining information

See Virginia salary details

$50.6K

$69.4K

$88.2K

How much do data mining jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data mining in Virginia is $69,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $84,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals in data mining roles?

Data Mining professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting the most appropriate algorithms for specific business problems. Managing diverse data sources and cleaning data to prepare it for analysis can be time-consuming and requires careful attention to detail. Collaboration with business analysts, IT staff, and subject matter experts is frequent, as understanding the business context is essential for meaningful results. Overcoming these challenges is key to delivering accurate insights and supporting strategic decisions within an organization.

What is a data mining?

A Data Mining job involves extracting useful patterns, trends, and insights from large datasets using statistical, machine learning, and analytical techniques. Professionals in this field work with structured and unstructured data to help businesses make data-driven decisions. Common tasks include data preprocessing, feature selection, algorithm development, and result interpretation. They often use tools like Python, R, SQL, and data visualization software to analyze data effectively.

What are the key skills and qualifications needed to thrive in data mining, and why are they important?

To thrive in Data Mining, a strong background in statistics, mathematics, computer science, and data analysis is usually required, often supported by a related degree or equivalent experience. Familiarity with tools such as Python, R, SQL, and data mining platforms like Weka or RapidMiner, as well as certifications in data analytics, are highly beneficial. Strong problem-solving abilities, analytical thinking, and effective communication skills help professionals interpret complex data and share actionable insights with stakeholders. These competencies are crucial for extracting valuable information from large datasets and driving data-informed decision-making within organizations.

What are the most commonly searched types of Data Mining jobs in Virginia? The most popular types of Data Mining jobs in Virginia are:
What are popular job titles related to Data Mining jobs in Virginia? For Data Mining jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Mining jobs in Virginia look for? The top searched job categories for Data Mining jobs in Virginia are:
What cities in Virginia are hiring for Data Mining jobs? Cities in Virginia with the most Data Mining job openings:
Data Mining jobs near you
Infographic showing various Data Mining job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $69,399 per year, or $33.4 per hour.

Data Engineer - Sr

NALLEY CONSULTING

Charlottesville, VA • On-site

$107K - $128K/yr

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Nalley Consulting is a Service Disabled Veteran Owned Small Business working with prime partners to staff Department of Defense and Intelligence Community positions. They are seeking a Senior Data Engineer who will lead data engineering activities, oversee the development and deployment of data pipelines, and mentor a team in a fast-paced environment.
Responsibilities:
• Conducting data analytics, data engineering, data mining, exploratory analysis, predicative analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.
• Proactively retrieving information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes. Creating various ML-based tools or processes such as recommendation engines or automated lead scoring systems.
• Performing statistical analysis, applies data mining techniques, and builds high quality prediction systems.
• Utilizing skills in data visualization and graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and margining of disparate data sources, preferably through Python, or SQL; statistical analysis; and data mining algorithms.
• Utilizing experience with large data Multi-INT analytics, ML, and automated predicative analytics.
Qualifications:
Required:
• 3+ years of experience designing, developing, operationalizing, and maintaining complex data applications
• 3+ years of experience with raw coding of Python or Java, PostgreSQL or similar databases
• 3+ years of experience developing code for data manipulation, data analysis, or data modeling
• Experience creating and integrating code for retrieving, parsing, and processing data across multiple systems or applications
• Experience developing scripts and programs for converting various types of data into usable formats and supporting project teams to scale, monitor, and operate data platforms in support of specific mission goals
• Experience in the development of algorithms leveraging Python and SQL
• Experience with Python data science and visualization packages
• Experience with leading the development of solutions to complex problems
• Experience working within a TS environment with onsite development tools
• Experience with database administration or data analytics
• Experience with structured and unstructured data
• CompTIA Security+ certification
Preferred:
• 12+ years of experience in Extract, Transform, and Load (ETL) processes
• 7+ years of experience designing, developing, operationalizing, and maintaining complex data applications
• 7+ years of experience with raw coding of Python or Java, PostgreSQL or similar databases
• 7+ years of experience developing code for data manipulation, data analysis, or data modeling
• 3+ years of experience with AI and ML implementation and development
• Experience with DevSecOps tools, including GitHub
• Experience working within the Intel Community
• Experience with a cloud environment, including AWS, Microsoft Azure, or Google Cloud
• Experience with Streamlit, Tkinter
• Experience with Agile software development
Company:
Nalley Consulting provides consulting services to federal and state government agencies, specializing in intelligence consulting. Founded in 2013, the company is headquartered in Leesburg, USA, with a team of 11-50 employees. The company is currently Early Stage.

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