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Data Mining Jobs in Riverside, CA (NOW HIRING)

Software Engineer II

Walnut, CA

$101K - $138K/yr

Design and implement elastic backend systems for data collection, component interaction, data mining, and API integration. * Install and configure operating systems, software applications, and ...

Software Engineer II

Walnut, CA · On-site

$101K - $138K/yr

Design and implement elastic backend systems for data collection, component interaction, data mining, and API integration. * Install and configure operating systems, software applications, and ...

Develop custom data science solutions from first principles, leveraging advanced techniques in probability and statistics, machine learning, and graph mining, especially in contexts where off-the ...

Ensure proper targeting for campaigns is derived through data mining and extraction. * Ensure that all campaign execution adheres to approved campaign processes and rules. Qualifications * University ...

Marketing Campaign Assistant

Santa Ana, CA · On-site

$41K - $52K/yr

Ensure proper targeting for campaigns is derived through data mining and extraction. * Ensure that all campaign execution adheres to approved campaign processes and rules. Qualifications * University ...

Analyst-Systems 4

San Dimas, CA · Hybrid

$60 - $70/hr

Expertise in data mining (extracting and gathering data from databases, APIs, repositories). * Proficiency in data visualization (dashboards, reports, insights using Power BI). * IT performance ...

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Data Mining information

See Riverside, CA salary details

$53.2K

$73K

$92.8K

How much do data mining jobs pay per year?

As of Jun 18, 2026, the average yearly pay for data mining in Riverside, CA is $73,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $88,700.00 per year, depending on experience, location, and employer.

How much money do data miners make?

Data miners typically earn a median annual salary of around $60,000 to $80,000, depending on experience, education, and location. Entry-level positions may start lower, while experienced data miners with skills in SQL, Python, or data analysis tools can earn higher salaries or freelance rates.

What does a data miner do?

A data miner analyzes large datasets to identify patterns, trends, and useful information using techniques like statistical analysis and machine learning. They often use tools such as SQL, Python, or R and work to support decision-making, research, or business strategies. Strong analytical skills and knowledge of data management are essential for this role.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and data analysis tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for growth and specialization. Success in this field typically requires continuous learning and relevant certifications or training.

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 job?

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.

Is 40 too late for data science?

Data mining is a key skill in data science, and professionals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age, making 40 not too late to start a career in data science or data mining.

What are the key skills and qualifications needed to thrive in the Data Mining position, 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 popular job titles related to Data Mining jobs in Riverside, CA? For Data Mining jobs in Riverside, CA, the most frequently searched job titles are:
What cities near Riverside, CA are hiring for Data Mining jobs? Cities near Riverside, CA with the most Data Mining job openings:
Infographic showing various Data Mining job openings in Riverside, CA as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $73,028 per year, or $35.1 per hour.
Software Engineer II

$101K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

Equus Compute Solutions (ECS) provides computer hardware, software, and related services to ISVs, OEMs, ODMs, and other computing technology companies, both directly and through channels. The company also supplies computer resellers with configurable servers for sale to enterprises and SMBs for on-premises use. ECS is one of the longest-standing and leading systems and solutions integrators. Over the last 32 years, we have delivered more than 3.5 million custom-configured computers throughout the world.

The Software Engineer II role requires strong interest in software, technology, and continuous learning. In addition, a solid grasp of modern software design principles combined with in-depth knowledge of low-level Linux systems. Software Engineer II designs, develops, deploys, and supports a wide range of tools and software used across manufacturing, engineering, and system support.

Success in this role requires proficiency across the full stack of modern cloud-based web applications, as well as comfort working with low-level systems deployed on a diverse mix of hardware including servers, desktops, and network devices. This position places strong emphasis on automation infrastructure within the manufacturing environment and on tooling for the Manufacturing Engineering team. Software Engineer II also supports customer-specific requirements around data collection and driver/firmware management through a highly scalable backend built on microservices, message queuing, databases, APIs, data mining, and digital dashboards. Additionally, this role contributes to the development of software processes and procedures at ECS, including documentation standards, controls, and methodologies that support a mature and robust development environment.

Essential Duties and Responsibilities:

  • Develop, own, and enhance software capabilities, including feature planning, development, and issue management through effective milestone tracking, risk mitigation, and communication.
  • Design and develop software solutions with a focus on availability, resiliency, and scalability.
  • Maintain and manage PXE boot environments for various tools and backend system integrations.
  • Apply deep knowledge of low-level Linux and other *NIX systems, including live disk image creation.
  • Develop and maintain manufacturing automation tools for image deployment and hardware verification/validation, including a scriptable backend supervisor that supports configuration and burn-in tooling for the Manufacturing Engineering team.
  • Design and implement elastic backend systems for data collection, component interaction, data mining, and API integration.
  • Install and configure operating systems, software applications, and related components to support troubleshooting, verification, validation, and system qualification.
  • Produce supporting documentation; summarize and analyze test and validation results; record outcomes and justify conclusions in accordance with product requirements.
  • Help create and manage software design and development processes, including those aligned with ISO 9001 standards.
  • Follow the engineering change management process to plan, execute, and communicate updates within the manufacturing automation environment.
  • Design and develop APIs that extend software agents, cloud services, and other components for both internal tools and customer-facing solutions.
  • Integrate, support, and manage third-party vendor tools, applications, and software components within the customer application stack.
  • Proactively identify and address limitations and risks through experimentation, research, and innovative problem-solving.
  • Collaborate with cross-functional teams including Product Management, Manufacturing Engineering, Quality, and Customer Service to resolve issues and improve solutions.
  • Stay current with emerging technologies, continuously improve skills, and mentor team members in modern software development practices.
  • Demonstrate alignment with the company's core values: Customer Success, Embrace Innovation, Collaboration, Owners Impacting Growth, and Do the Right Thing.

Essential Education, Skills, and Experience:

Education and Experience

  • Bachelor’s degree in computer engineering, computer science, or an equivalent combination of education and experience.
  • 3-5 years of experience in Linux, system and solution design, cloud computing, or related technical domains.
  • Experience with several of the following: C, Go, Node.js, Python, and related technologies such as JSON and HTML.
  • 3–5 years of hands-on Linux administration experience in a production environment.
  • 3–5 years of experience in API development and integration.
  • Experience in a manufacturing or technology product development environment preferred.

Technical Skills

  • Demonstrated expertise in both Windows and Linux environments.
  • Strong understanding of computer hardware components, assembly, functionality, and integration.
  • Proven experience designing, implementing, and automating distributed systems.
  • Strong understanding of system architecture, including message queuing, microservices, CI/CD pipelines, and elastic compute environments.
  • Solid knowledge of relational and NoSQL databases, with hands-on experience in PostgreSQL and JSON-based data stores.
  • Hands-on experience with Kubernetes, Docker, and container orchestration.
  • Working knowledge of configuration management tools such as Puppet, Chef, or Ansible.
  • Proficiency with GitLab and version control systems.
  • Experience with automated unit and integration testing tools.
  • Familiarity with product lifecycle management tools (e.g., Jira, Azure DevOps), including use, administration, and ownership.
  • Knowledge of ISO 9001 design and development processes.
  • Experience managing configuration and maintaining standardized baselines in a production environment.

Professional Skills

  • Ability to quickly adapt to new programming languages, tools, and development approaches.
  • Strong problem-solving, analytical, and conceptual skills.
  • Excellent written and verbal communication skills, with the ability to work independently and collaboratively across cross-functional teams.
  • Ability to lead and support process improvement initiatives that reduce time-to-market and lower development costs.

The base pay range for this role is between $90,000 and $130,000 and your base pay will depend on your skills, qualifications, experience, and location, along with budgeted range of position. Equus Compute Solutions offers a comprehensive full-time benefits package consisting of medical, dental, vision, telemedicine, flexible spending accounts, matched 401K, life, critical accidental or illness, company paid short- & long-term disability, six weeks of paid parental leave, generous paid time off and wellness programs. ECS is 100% employee owned!