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Remote Mining Jobs in California (NOW HIRING)

Lead Data Scientist

Woodland Hills, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

On-site ( #LI-Onsite ), Hybrid ( #LI-Hybrid ), Remote ( #LI-Remote ) Farmers believes in a culture ... and data mining, and lead complex cross-functional projects. Specific duties include: take ...

Principal Product Manager, Data Products

Pasadena, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... mining using traditional statistical techniques to understand and strengthen data capabilities ...

Principal Product Manager, Data Products

Pasadena, CA · On-site +1

$171K - $207K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... mining using traditional statistical techniques to understand and strengthen data capabilities ...

Principal Product Manager, Data Products

Pasadena, CA · On-site +1

$207K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... mining using traditional statistical techniques to understand and strengthen data capabilities ...

Remote (Pacific time hours) Our client, a global technology leader seeking a Data Scientist for ... mining. * Determines best practices and develops actionable insights and recommendations for ...

Pricing Analyst

Whittier, CA · Remote

$75K - $97K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a remote position based in CA. SUMMARY: The Pricing Analyst is responsible for supporting ... Strong analytical skills; modeling skills include data mining, and excel formulas and manipulating ...

Showing results 41-60

Remote Mining information

See California salary details

$17

$26

$33

How much do remote mining jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote mining in California is $26.48, according to ZipRecruiter salary data. Most workers in this role earn between $23.03 and $29.42 per hour, depending on experience, location, and employer.

How can I get into a remote mining job?

To get into a remote mining job, candidates typically need relevant experience in mining operations, safety training, and certifications such as CPR or first aid. Employers often seek individuals with technical skills, physical fitness, and the ability to work independently in isolated environments. Applying through industry-specific job boards, networking with professionals, and obtaining necessary safety and technical certifications can improve chances of securing a remote mining position.

What are the typical challenges faced by professionals working in remote mining roles?

Professionals in remote mining roles often encounter challenges such as coordinating with on-site teams across different time zones, managing complex equipment remotely, and troubleshooting operational issues without direct physical access. In addition, maintaining strong communication and workflow integration can be more demanding when team members are dispersed. However, remote mining professionals are supported by advanced monitoring software, specialized technical support, and regular virtual meetings to foster collaboration. These roles offer unique opportunities to develop expertise with cutting-edge mining technology and can lead to career advancement in operations management or technical leadership positions.

What is remote mining?

A Remote Mining job involves overseeing, managing, or supporting mining operations from an off-site location using advanced technology, data analysis, and remote monitoring systems. These roles can include positions in automation, equipment operation, engineering, and data analytics. Remote mining professionals use software and communication tools to track mine productivity, ensure safety, and optimize operations without being physically present at the mine site. This helps reduce risks, improve efficiency, and lower costs. Many companies adopt remote mining to enhance worker safety and operational effectiveness.

What are the key skills and qualifications needed to thrive in remote mining, and why are they important?

To thrive in Remote Mining, you need expertise in mining operations, geology, and remote monitoring technologies, usually supported by a degree in mining engineering or a related field. Familiarity with SCADA systems, tele-remote equipment, and safety protocols is essential, along with relevant mining certifications. Strong problem-solving, communication, and self-motivation skills are vital to effectively operate at a distance and collaborate with on-site teams. These abilities ensure efficient, safe, and successful mining operations from off-site locations.

What are the most commonly searched types of Mining jobs in California?

The most popular types of Mining jobs in California are:

What are popular job titles related to Remote Mining jobs in California?

For Remote Mining jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Remote Mining jobs?

Cities in California with the most Remote Mining job openings:

Infographic showing various Remote Mining job openings in California as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 100% Remote job distribution, with an average salary of $55,088 per year, or $26.5 per hour.

Full-time

Re-posted 12 days ago


Job description

ETL Consultant
Downey CA (Remote)
Duration: 12 months
Skills Required
The Informatics Data Analyst will possess knowledge and experience in basic statistical concepts; identifying the trends, business opportunities, and relevant issues; commonly-used demographics and databases; definitions of fields and how data is entered and processed; data mining/intelligence; statistically-valid analysis and measurement methodologies; packaging data - infographics and other data display techniques, and report design options; data interpretation and validation; Ad Hoc analysis/performance evaluation principles; common demographic data bases; SQL coding and report services; data warehouse design; web-based application design; PC skills (e.g. Microsoft Office, Word, Excel, PowerPoint, SAS, Access and Excel); working independently as well as a leadership role in creating process documentation and interfacing with other team members to obtain this information; detailed-oriented; excellent interpersonal, oral and written communication skills; ability to handle multiple tasks; and problem solving and troubleshooting skills.
Skills Preferred
1. Understand the architecture, data warehousing concepts, and components like SQL Pools, Apache Spark pools, and Data Flow.
2. Strong knowledge of SQL for data extraction, transformation, and loading (ETL) tasks, including complex querying, stored procedures, views, and indexing.
3. Proficiency in designing and implementing efficient data models for data warehousing, including dimensional modeling techniques such as star and snowflake schemas.
4. Familiarity with programming languages like Python or Scala for data processing, analytics, and automation tasks in Azure Synapse Analytics.
5. Understanding of various data integration methods, including data ingestion from different sources, data replication, and data synchronization techniques.
6. Ability to optimize query performance and data processing in Azure Synapse Analytics through techniques like partitioning, indexing, and query optimization.
Experience Required
This classification must have a minimum of two (2) years of experience in processing, management, and retrieval of information.
Experience Preferred
1. Having 2 to 4 years experience in working with Microsoft Azure Cloud platform, including familiarity with other Azure services like Azure Data Lake Storage, Azure Databricks, Azure Data Factory, and Azure DevOps.
2. Having 2 to 4 years experience in designing and developing data warehouses using other platforms like Microsoft SQL Server, Oracle, or Teradata can be valuable in understanding data warehousing concepts and best practices
3. Having 2 to 4 years experience in big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka can be beneficial, as they integrate with Azure Synapse Analytics and enable large-scale data processing and analytics.
4. Having 2 to 4 years of experience in data visualization tools like Power BI or Tableau to create insightful visualizations and reports based on data stored in Synapse Data Warehouse.
5. Having 2 to 4 years experience in data cleansing, data profiling, and data validation techniques to ensure high data integrity in the data warehouse.
Education Required
This classification requires the possession of a bachelor's degree in an IT-related or Engineering field. Additional qualifying experience may be substituted for the required education on a year-for-year basis.
Education Preferred
A Bachelor's or Master's degree in Computer Science, Information Technology, or a related field is typically required.
Regards
Sunil Damagalla
West Advanced Technologies, Inc
E: sunil.d@wati.com D: 279-666-5837