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Entry Level Data Mining Jobs in Reno, NV (NOW HIRING)

SynergisticIT

Python/R developer - Remote

Reno, NV · On-site

$115K - $145K/yr

... for entry-level software programmers, Java full stack developers, Python/Java developers, data ... NLP, text mining, tableau, powerBI, databricks, tensorflow. For java/full stack/software positions ...

All JobsEntry Level Data Mining JobsEntry Level Data Mining Jobs in Reno, NV

Entry Level Data Mining information

See Reno, NV salary details

$50.9K

$69.8K

$88.7K

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

As of Jul 5, 2026, the average yearly pay for entry level data mining in Reno, NV is $69,794.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,800.00 and $84,800.00 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 Reno, NV? The most popular types of Data Mining jobs in Reno, NV are:
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Entry Level Data Mining jobs near you
Infographic showing various Entry Level Data Mining job openings in Reno, NV as of June 2026, with employment types broken down into 53% Full Time, 41% Part Time, 3% Temporary, and 3% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $69,794 per year, or $33.6 per hour.
Junior java backend developer with spring boot/ data analyst

Junior java backend developer with spring boot/ data analyst

SynergisticIT

Carson City, NV • On-site

Other

Posted 12 days ago

Job description

Synergisticit Job Opportunities

For more than 14 years Synergisticit has helped jobseekers stand out from other jobseekers by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Here at SynergisticIT we just don't focus on getting you a tech job we make careers. In this market also our candidates get multiple job offers and $100k + salaries.

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 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, client, visa, walmart lab etc to name a few.

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry.

We assist in filing for STEM extension and also for H1b and green card filing to candidates. We want data science/machine learning/data analyst and Java full stack candidates.

For data science/machine learning positions required skills include a 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 include NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow.

For Java/full stack/software positions required skills include a 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.

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.

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