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Data Mining Jobs in Riverside, CA (NOW HIRING)

Strong ability to write Microsoft SQL code to do data mining tasks in order to fulfill both internal and external requests. Ability to create reports and dashboards using SQL Server Reporting ...

Strong ability to write Microsoft SQL code to do data mining tasks in order to fulfill both internal and external requests. Ability to create reports and dashboards using SQL Server Reporting ...

Perform data mining, analysis, and reporting tasks as assigned.* Stay current with economic and fixed-income market trends.* Collaborate with senior analysts and other teammembers to ensure alignment ...

Perform data mining, analysis, and reporting tasks as assigned. * Stay current with economic and fixed-income market trends. * Collaborate with senior analysts and other teammembers to ensure ...

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 ...

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 ...

... mining and visualization techniques • collaborating closely with Data Science Developers • ... partnering with business stakeholders to identify ways to augment and enhance our data ...

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

... mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments ... The Data Platform team builds the systems that capture every autonomy intervention, anomaly, and ...

Showing results 41-60

Data Mining information

See Riverside, CA salary details

$53.2K

$73K

$92.8K

How much do data mining jobs pay per year?

As of Sep 11, 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.

What is a data mining?

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.

What are the key skills and qualifications needed to thrive in data mining, 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 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.

How much do data miners make?

Data miners typically earn between $50,000 and $90,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with advanced skills in data analysis and tools like SQL or Python can earn higher salaries.

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 tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for advancement and specialization.

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 job categories do people searching Data Mining jobs in Riverside, CA look for?

The top searched job categories for Data Mining jobs in Riverside, CA 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 August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $73,028 per year, or $35.1 per hour.

Data Engineering, Senior Advisor

Pomona, CA • On-site

Other

Posted 5 days ago


Job description

Join the Clean Energy Revolution

Become a Data Engineering, Senior Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you’ll be responsible for developing data integration pipelines (ETL) sourcing from various databases and systems. The senior advisor will develop programs using coding languages (i.e. Python, SQL) and/or low-code environments (i.e., Palantir Foundry) to create analyses and applications for stakeholders throughout Transmission & Distribution (T&D). The candidate is therefore expected to work on data governance, data architecture, data engineering solutions, and best practices for analyzing very large datasets. Additionally, the candidate will perform data mining activities to derive insights, work with cloud OLAP systems (e.g., Snowflake), and keep abreast of new and current data engineering techniques.

As a Data Engineering, Senior Advisor, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?

Day In The Job
  • Manages and scales data pipelines from internal and external data sources to support new product launches and drive data quality across data products (Palantir Foundry, Snowflake, SAP Datasphere).
  • Facilitates data engineering activities covering data acquisition, extraction, normalization, transformation, management, and manipulation of large and complex data sets.
  • Keeps abreast of new and current data engineering, big data and data science techniques. Researches methods, techniques, and new practices; develops and promotes data engineering best practices, standards and guidelines.
  • Works closely with subject matter experts to design and develop front-end applications with data models and data pipelines supporting the applications.
  • Provides governance and oversight of data assets, data environments and relevant data procedures, with the proactive planning and enforcement of data asset naming conventions.
  • Builds and maintains data pipelines using big data processing technologies to process and analyze large datasets; uses ETL processes on the internal cluster.
  • Develops and maintains data warehouse schema and data models, ensuring data consistency and accuracy.
  • Ensures ongoing alignment of technical and business strategies based on changing business and technology drivers and risks.
  • Creates advanced visualizations and tools to provide insight, drives action, and supports work throughout the business.
  • Identifies and designs Data-as-a-Service candidates for improved data availability and consumption.
Responsibilities
  • Conceptualizes and owns the data architecture on behalf of the energy team in collaboration with data science and engineering teams.
  • Improves performance by optimizing computing time to process the streaming data and saves cost to company by optimizing cluster run time.
  • Identifies opportunities for building of value-added datasets to facilitate realization of enterprise use cases and for optimizing cloud costs.
  • Establishes transactional data orchestration, data lake, reporting platform strategy and roadmap formulation for data intensive enterprise transformation programs.
  • Delivers metadata management implementation to improve data governance maturity and data ownership. Oversees data platform to ensure that the service delivery is efficient and business SLAs around uptime, performance and capacity are met.
  • Designs Enterprise Data Lake to provide support for various uses cases including Analytics, processing, storing, and reporting of voluminous, rapidly changing data.
  • Designs and develops end-to-end data pipelines for the organization, resulting in improved data quality and reduced data processing time.
  • Supports Data Scientists with their development of predictive and other models, with respect to large scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning and deep learning.
  • Contributes to data dictionary and data mapping from sources to the target in SCIM Data Model.
  • A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.
Minimum Qualifications
  • Bachelor's Degree in Computer Science, Information Systems, Engineering, Statistics/ Mathematics or equivalent STEM major.
  • Ten or more years of experience in data processing large data sets, hands‑on with data transformation, aggregation, and filtering.
Preferred Qualifications
  • Demonstrated experience building and maintaining APIs and ETL pipelines using tools like Python, SQL, Apache Airflow, Azure Data Factory, or similar platforms
  • High competency with systems like Palantir Foundry, Snowflake,AWSor similar platforms
  • Additional certifications such as Palantir Foundry Data Engineer, Azure Data Engineer, Certified Data Management Professional, SnowPro Advanced, etc.
  • Understanding of cloud-based data storage and architecture
  • Proven ability to implement data validation, metadata management, and ensure consistency and accuracy across systems
  • Experience working in the electric utility industry or with infrastructure investment planning
  • Experience working collaboratively with cross-function stakeholders such as IT, Engineering, Planning and business teams to gather requirements and deliver tailored data solutions.
Additional Information
  • This position’s work mode ishybrid.
  • Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!
  • Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
  • Position will require up to 25% traveling and being out in the field throughout the SCE service territory.
  • Relocation does not apply to this position.
About Southern California Edison

The people at SCE don't just keep the lights on. Our mission is so much bigger. We’re fueling the kind of innovation that’s changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you’ll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.

Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.

We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at AskHR@sce.com or (626) 302-3456 and select option 2.

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