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Entry Level Data Mining Jobs in Washington (NOW HIRING)

Elutions

Domain Engineer

Arlington, VA · On-site

... 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 ...

Elutions

Domain Engineer

Arlington, VA · Remote

... 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 ...

Elutions

Domain Engineer

Arlington, VA

... 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 ...

Chenega MIOS

Logistics Analyst II

Lorton, VA · On-site

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 ...

Chenega Corporation

Logistics Analyst II

Lorton, VA

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 ...

CDM Smith

Geotechnical Engineer 1

Fairfax, VA

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 ...

All JobsData Mining JobsEntry Level Data Mining JobsEntry Level Data Mining Jobs in Washington

Entry Level Data Mining information

See Washington salary details

$57.8K

$79.3K

$100.8K

How much do entry level data mining jobs pay per year?

As of Jul 20, 2026, the average yearly pay for entry level data mining in Washington is $79,281.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $96,300.00 per year, depending on experience, location, and employer.

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 Washington? The most popular types of Data Mining jobs in Washington are:
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Entry Level Data Mining jobs near you
Infographic showing various Entry Level Data Mining job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $79,281 per year, or $38.1 per hour.
Data Scientist Junior-Level 117-005

Data Scientist Junior-Level 117-005

IC-CAP LLC

Springfield, VA • On-site

Full-time

Re-posted 24 days ago

Job description

Junior-Level Data Scientistsupports NSG strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned. Refine, enhance and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle. Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the Government. Enhance technical solutions to problems related to intelligence integration, automated collections, tipping and cueing, information sharing, and visualization. Conduct extensive collections and analytic modeling, data processing, and data mining. Conduct gap analysis on existing technologies and processes. Provide communication to customers on the progress of projects, processes, and emerging technologies as they become available. Clearly communicate data-driven findings and automation to technical and non-technical audiences. Design, integrate, and maintain Bayesian Belief Network (BBN) processes that utilize automation tools or scripts to drive predictive, activity-based automated collection. Conduct customer elicitation to identify processing problems due to procedures, tools, and services; work arounds that may need a permanent solution; and gaps in tools and technology. Train and integrate new tools, processes, and capabilities to be used in collection orchestration. Provide support for emerging requirements as assigned by the Government.
Implementing, part of team, executing tasks. These are still developmental labor positions. Services requiring junior level support will require a person to have slightly more experience than a full entry level while performing slightly more advanced skills than per an entry level. Understands and applies more advanced concepts and processes to tasks.
Education and Experience
Required:
  • Minimum of 3 years of experience -OR- Bachelor degree in STEM field
  • Proficient with Python and SQL

Desired
  • Knowledge of GEOINT collection and associated NGA/NRO systems
  • Proficiency with common programming languages including R, JavaScript, HTML, and CSS
  • Experience leveraging object oriented programming
  • Proficiency with visualization tools such as Grafana, Tableau, and Kibana
  • Ability to learn new technologies, adapt to dynamic mission needs, and develop/test new analytic methodologies

Security Clearance:
  • Active TS/SCI and the willingness to sit for a polygraph, if needed

IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.

Apply