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Entry Level Data Mining Jobs in Virginia (NOW HIRING)

Responsibilities This entry-level data science role supports the development of analytical tools ... The candidate will perform data mining, statistical analysis, and visualization to deliver ...

This entry-level data science role supports the development of analytical tools and workflows that ... The candidate will perform data mining, statistical analysis, and visualization to deliver ...

M365 Platform Developer

Suffolk, VA ยท On-site

$105K - $115K/yr

Responsibilities This entry-level data science role supports the development of analytical tools ... The candidate will perform data mining, statistical analysis, and visualization to deliver ...

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Understand big data concepts and have knowledge of data mining algorithms. * Read and understand ...

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Understand big data concepts and have knowledge of data mining algorithms. * Read and understand ...

Intermediate Software Engineer

Fredericksburg, VA ยท On-site +1

$36.96 - $55.42/hr

To support test event recreation using data mining, automation of metrics and quick-look reconstruction reports. Primary work location will be in Fredericksburg, VA with occasional telecommute or ...

Intermediate Software Engineer

Fredericksburg, VA ยท On-site

$36.96 - $55.42/hr

To support test event recreation using data mining, automation of metrics and quick-look reconstruction reports. Primary work location will be in Fredericksburg, VA with occasional telecommute or ...

Data mining and analysis * Knowledge of ILS Principles * Mechanical and/or electrical aptitude ... From entry-level employees to senior leaders, we believe there's always room to learn. We offer ...

Data mining and analysis * Knowledge of ILS Principles * Mechanical and/or electrical aptitude ... From entry-level employees to senior leaders, we believe theres always room to learn. We offer ...

CDM Smith is seeking an entry-level graduate to join our Geotechnical Engineering team in Fairfax ... Reviews project data, specifications, calculations, and submittals for consistency with federal ...

Entry Level Data Mining information

What is an Entry Level Data Mining job?

An Entry Level Data Mining job involves collecting, cleaning, and analyzing large datasets to identify patterns and trends. Professionals in this role use statistical techniques, programming languages like Python or SQL, and data visualization tools to extract meaningful insights. They often support business decisions by preparing reports, building predictive models, and ensuring data quality. This role is ideal for individuals with a background in data science, computer science, or related fields who want to gain hands-on experience in handling and interpreting data.

How much does an entry-level miner make?

Entry-level data miners typically earn between $40,000 and $60,000 annually, depending on the industry, location, and specific skills such as knowledge of SQL or data analysis tools. Starting salaries may be lower in some regions or companies, but with experience and additional training, earnings can increase.

What does a typical day look like for someone in an Entry Level Data Mining position?

A typical day for an Entry Level Data Mining professional often involves cleaning and organizing raw data, running exploratory analyses, and assisting in building models or algorithms under the guidance of senior team members. Collaboration with data analysts, engineers, and business teams is common, as you may be responsible for preparing reports or visualizations that help inform decision-making. You may also spend time learning new data mining techniques or tools to enhance your efficiency and broaden your skill set. The role offers a mix of technical tasks and teamwork, making it a great opportunity for those eager to grow within the field of data science.

What are the key skills and qualifications needed to thrive in the Entry Level Data Mining position, and why are they important?

To thrive as an Entry Level Data Mining professional, a solid understanding of statistics, basic programming (such as Python or R), and data analysis is typically required, often backed by a degree in computer science, mathematics, or a related field. Familiarity with data mining tools like Weka, RapidMiner, or SQL databases is beneficial, and certifications in analytics or data science can enhance your prospects. Strong attention to detail, analytical thinking, and effective communication are important soft skills for collaborating and conveying findings to non-technical stakeholders. These competencies ensure accurate data extraction, meaningful insights, and successful teamwork essential for effective contributions in data-driven environments.

Is 40 too late for data science?

Entry level data mining roles are accessible at any age, including at 40, especially if you develop relevant skills such as SQL, Python, and data analysis. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training programs.

Will data mining be replaced by AI?

Data mining as a job involves extracting useful patterns from large datasets, and AI tools are increasingly automating parts of this process. However, human expertise is still essential for interpreting results, designing algorithms, and ensuring data quality, so data mining roles are likely to evolve rather than be fully replaced by AI.

How to get started in data mining?

To start a career in data mining, develop skills in programming languages like Python or R, learn database query languages such as SQL, and understand data analysis and machine learning concepts. Gaining experience through online courses, certifications, or internships can also help build practical knowledge in data extraction and analysis tools.
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 cities in Virginia are hiring for Entry Level Data Mining jobs? Cities in Virginia with the most Entry Level Data Mining job openings:
Infographic showing various Entry Level Data Mining job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
M365 Platform Developer with Security Clearance

M365 Platform Developer with Security Clearance

Falconwood

Suffolk, VA โ€ข On-site

$105K - $115K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

Falconwood is a woman-owned, veteran-owned company providing consultation and programmatic support to Department of Defense Information Technology (IT) initiatives and programs. We provide expert advice and consultation on a diverse range of IT subjects, focusing on acquisition, policy, cybersecurity, engineering, and process development. The Data Scientist I will be responsible for supporting data-driven analysis and decision-making tools for the Commander, Naval Information Forces (NAVIFOR) N6 Directorate, particularly within the Command Data Office (CDO). Responsibilities This entry-level data science role supports the development of analytical tools and workflows that power mission decision-making across the Navy Information Warfare enterprise. The candidate will perform data mining, statistical analysis, and visualization to deliver operational insights aligned with NAVIFORโ€™s data strategy. This  position is based in Suffolk, VA, with limited travel anticipated. Responsibilities: * Perform analysis and modeling of large, complex data sets to identify patterns, trends, and actionable insights
* Support the development of dashboards, data visualizations, and reporting tools using modern BI platforms
* Assist in the integration of structured and unstructured data sources to support analytics workflows
* Conduct data profiling, cleaning, transformation, and normalization activities
* Apply machine learning and statistical analysis techniques to support mission-aligned use cases
* Support the development of Extract, Transform, Load (ETL) pipelines and data structures for reporting
* Collaborate with engineering and analytics teams to turn analytical insights into production-ready tools
* Contribute to the implementation of the NAVIFOR data strategy across enterprise platforms Qualifications Education: Bachelor of Science in Analytics, Statistics, Computer Science, Information Systems, Engineering, Mathematics, or a related discipline Experience: Minimum 3 years of experience in data analytics, data engineering, databases, visualization, and applied coding Clearance: Active Secret Clearance required Technical Skills: * Must have 2+ years of experience developing and designing in Office 365 (O365) and Microsoft Power Platform business solutions to include Power Apps, Power Automate, Flow,  DataVerse,  and Power BI. Other abilities required: * Experience working with SharePoint Online and/or On-Premise environments.
* Configuring, troubleshooting, and managing advanced SharePoint security and permission structures.
* Designing or implementing SharePoint sites utilizing a flat architecture model and modern design templates.
* The ability to evaluate business requirements to determine when a solution requires custom Power Platform integration rather than relying on SharePoint out-of-the-box (OOTB) features.
* *Enterprise-level experience developing business solutions within the Microsoft Power Platform.
* Managing and implementing Power Platform security roles, data policies, and access controls.
* Developing and deploying custom applications to production using Power Apps.
* Designing, testing, and implementing complex automated workflows using Power Automate.
* Practical experience building, connecting data to, and publishing dashboards using Power BI.
* Experience with configuration, deployment, and lifecycle management of different Power Platform environments (e.g., Dev, Test, Prod).
* Designing or adapting application architectures to comply with specific Microsoft Power Platform licensing tiers or constraints.
* Utilizing Microsoft Dataverse as a primary backend data source for enterprise applications
  * * Desirable:
* Using Power FX: Crafting formulas to enable complex functions and logic within the applications, as per the business requirements.
* SharePoint Online (SPO)
The Candidate: * Must be technically savvy and possess excellent communication skills
* Must have effective critical thinking and problem-solving skills
* Must be self-motivated and able to deliver with minimal supervision
* Proficient in Microsoft Word, Excel, PowerPoint, and Outlook
This is a fast paced and high demand position that is onsite in Suffolk, VA. Limited to no travel is anticipated. Pay Range Base pay is $105,000โ€“$115,000, subject to skill level, qualifications, and location. Benefits Highlights 401k, Tuition Reimbursement, Health/Dental/Vision Insurance, PTO, Federal Holidays, Performance Increases, Reserve Duty Compensation and more!

Falconwood logo

About Falconwood

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

Arlington, VA, US

Year founded

2002