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Entry Level Data Mining Jobs in Virginia (NOW HIRING)

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 ...

... for entry-level software programmers, Java full stack developers, Python/Java developers, data ... NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow. Required skills for Java/full stack ...

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Entry Level Data Mining information

See Virginia salary details

$50.6K

$69.4K

$88.2K

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

As of Jun 15, 2026, the average yearly pay for entry level 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 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.

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.

Is 30 too late for data science?

Entry level data mining roles are accessible at any age, including at 30, especially if you develop relevant skills such as SQL, Python, and data analysis. Many professionals transition into data science or data mining careers later in life by gaining certifications or completing relevant training programs.

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 with relevant skills in SQL, Python, or R. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training, making age less of a barrier than skill and experience.

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 querying with SQL, and understand data analysis and machine learning concepts. Gaining experience through online courses, certifications, or internships can also help build practical knowledge for entry-level data mining roles.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis. However, data analysts are still essential for interpreting complex data, making strategic decisions, and providing context that AI tools cannot fully replicate. Skills in data visualization, statistical analysis, and tools like SQL and Python remain valuable in this evolving field.
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 job categories do people searching Entry Level Data Mining jobs in Virginia look for? The top searched job categories for Entry Level 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:
Full-Stack Engineer

Full-Stack Engineer

SynergisticIT

Virginia Beach, VA

Other

Posted 12 days ago


Job description

SynergisticIT Job Opportunity

SynergisticIT has helped jobseekers differentiate themselves by providing clients with candidates who have the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT we just don't focus on getting you a job, we make careers. All positions are open for all visas and US citizens. We are matchmakers we provide clients with candidates who can perform from day 1 of starting work. In this economy no client wants or has the resources to take an entry level person and spend resources on upgrading their skills and on top of that pay the jobseeker. That's the specific reason there are so many techies both experience and freshers who are unemployed. Clients have now the option to hire remote workers from anywhere so for a jobseeker its important to introspect and see how they can become better and have the skills and technologies to meet client requirements. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like apple, google, Paypal, western union, client, visa, walmart labs etc to name a few.

Who Should Apply: Recent computer science/engineering/mathematics/statistics or science graduates looking to make their careers in the IT industry. We welcome candidates with all visas and citizens to apply. If you get emails from our skill enhancement team please ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team.

Required Skills for Java/Software Programmers:

  • Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Project work on the skills
  • Knowledge of core Java, javascript, C++, or software programming
  • Spring boot, microservices, Docker, Jenkins, and REST API's experience
  • Excellent written and verbal communication skills

Required Skills for Data Science/Machine Learning:

  • Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of statistics, SAS, Python, computer vision, data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: Databricks, Snowflake, text mining, Tableau, PowerBI, time series analysis. Please understand skills and relevant experience on real world projects are required by clients for selection even if it's junior or entry level position the additional skills and project work with hands on experience building projects at client site are the only way a candidate can be picked by clients. No third party candidates or c2c candidates please only apply to the posting. Shortlisted candidates would be reached out.