ZipRecruiter

Log In

1

Mining Engineer Jobs in Chicago, IL (NOW HIRING)

Tredence Analytic

Data Engineer

Chicago, IL

$118K - $141K/yr

We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data. We are searching for an accountable, multitalented Data Engineer to facilitate the ...

Tredence Analytic

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data. We are searching for an accountable, multitalented Data Engineer to facilitate the ...

Northern Base

Senior AI Automation Engineer

Chicago, IL · On-site

$120K - $130K/yr

Agentic Automation, AI Agents, LLMs, Prompt Engineering, Intelligent Document Processing, Process Mining, Generative AI; Python, C#, .NET, REST APIs, SQL, Git, CI/CD; Azure, Azure OpenAI, Azure ...

Northern Base

Lead AI Automation Engineer

Chicago, IL · On-site

$120K - $130K/yr

Must Have Technical/Functional Skills UiPath, Microsoft Power Platform, enterprise RPA; Agentic AI, AI Agents, LLMs, Prompt Engineering, Intelligent Document Processing, Process Mining, Generative AI ...

Heidelberg Materials

Area Operations Manager

Thornton, IL · On-site

$136K - $181K/yr

Bachelor's degree in Mining/Engineering, Operations/Industrial Management, Business, or related field; equivalent experience considered * 7+ years of operations leadership experience in aggregates ...

Heidelbergmaterials

Area Operations Manager

Thornton, IL · On-site

$136K - $181K/yr

Bachelor's degree in Mining/Engineering, Operations/Industrial Management, Business, or related field; equivalent experience considered * 7+ years of operations leadership experience in aggregates ...

previous pagenext page

Showing results 21-40

All JobsMining Engineer JobsMining Engineer Jobs in Chicago, IL

Mining Engineer information

See Chicago, IL salary details

$34K

$91.9K

$146.4K

How much do mining engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for mining engineer in Chicago, IL is $91,944.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,600.00 and $112,400.00 per year, depending on experience, location, and employer.

What is the difference between Mining Engineer vs Geologist?

AspectMining EngineerGeologist
Required CredentialsBachelor's in Mining Engineering, Professional Engineer (PE) license often preferredBachelor's or Master's in Geology or Earth Sciences, relevant certifications
Work EnvironmentMining sites, construction sites, engineering officesResearch labs, field sites, environmental agencies
Industry UsageDesigning and managing mining operations, ensuring safety and efficiencyStudying earth materials, assessing mineral deposits, environmental impact

Mining Engineers focus on planning, designing, and managing mining operations, ensuring safety and efficiency. Geologists analyze earth materials and assess mineral deposits. While both roles work closely in the mining industry, Mining Engineers handle the operational side, whereas Geologists focus on exploration and analysis.

What are some common challenges mining engineers face when working on-site, and how can they prepare for them?

Mining Engineers often encounter challenges such as adapting to remote or harsh work environments, ensuring compliance with rigorous safety regulations, and balancing productivity targets with environmental sustainability. Effective communication and collaboration with geologists, equipment operators, and environmental specialists are crucial for overcoming these challenges. Preparing by gaining hands-on experience, staying current with safety protocols, and developing strong problem-solving skills can help Mining Engineers succeed and adapt to dynamic site conditions.

What do you do as a mining engineer?

A mining engineer designs, plans, and oversees the extraction of minerals from the earth, ensuring safety and efficiency. They analyze geological data, develop mining methods, and manage operations using tools like CAD software, often working in remote or underground environments. Certification and knowledge of safety regulations are essential in this role.

What are the key skills and qualifications needed to thrive as a mining engineer, and why are they important?

To thrive as a Mining Engineer, you need a solid background in mining engineering principles, geology, and mathematics, typically supported by a bachelor’s degree in mining engineering or a related field. Familiarity with mining software such as Surpac, MineSight, or AutoCAD, and relevant certifications like a Professional Engineer (PE) license, are often required. Strong problem-solving abilities, communication skills, and attention to safety help distinguish top performers in this role. These skills ensure efficient mine design, regulatory compliance, and safe, productive operations in complex mining environments.

How much do mining engineers get paid?

Mining engineers typically earn a median annual salary of around $90,000, with salaries ranging from approximately $60,000 to over $130,000 depending on experience, location, and industry. Higher salaries are common in regions with active mining operations and for those with specialized skills or advanced certifications.

What is a mining engineer?

Mining engineers are professionals who design, develop, and manage systems for extracting minerals from the earth safely, efficiently, and sustainably. They are involved in every stage of a mining project, from exploration and feasibility studies to mine design, operations, and closure. Mining engineers work to optimize the extraction process, ensure environmental compliance, and maintain the safety of workers and surrounding communities. Their expertise is critical in balancing economic, environmental, and technical factors in mining operations.

Are mining engineers paid well?

Mining engineers typically earn competitive salaries that reflect their technical expertise and the demanding nature of the industry. Salaries can vary based on experience, location, and the complexity of projects, with many earning above average wages compared to other engineering fields.
More about Mining Engineer jobs
What are the most commonly searched types of Mining Engineer jobs in Chicago, IL? The most popular types of Mining Engineer jobs in Chicago, IL are:
What are popular job titles related to Mining Engineer jobs in Chicago, IL? For Mining Engineer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Mining Engineer jobs in Chicago, IL look for? The top searched job categories for Mining Engineer jobs in Chicago, IL are:
Mining Engineer jobs near you
Infographic showing various Mining Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $91,944 per year, or $44.2 per hour.

Data Engineer

Tredence Analytic

Chicago, IL

$118K - $141K/yr

Full-time

Re-posted 16 days ago

Job description

Company Description

Tredence is a global analytics services and solutions company. Our capabilities range from Data Engineering, Visualization, Data Management to Advanced analytics, Big Data, Cloud and Machine Learning. Our uniqueness is in bringing the right mix of technology and business analytics to create sustainable white-box solutions that are transitioned to our clients at the end of the engagement. We do this cost effectively using a global execution model leveraging our clients' existing technology and data assets. We also come in with strong IP and pre-built analytics solutions in data mining, business intelligence and Big Data.

Job Description

We are searching for an accountable, multitalented Data Engineer to facilitate the operations of our Data Scientists. The ideal candidate will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data, while remaining familiar with dominant programming and deployment strategies in the field. During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project.

To ensure success as a Data Engineer, you should demonstrate flexibility, creativity, and the capacity to receive and utilize constructive criticism. A formidable Data Engineer will demonstrate unsatiated curiosity and outstanding interpersonal skills.

Essential Responsibilities

  • Design, develop, document, and test advanced data systems that bring together data from disparate sources, making it available to data scientists, analysts, and other users using scripting and/or programming languages (Python, Java, C, etc)
  • Evaluate structured and unstructured datasets utilizing statistics, data mining, and predictive analytics to gain additional business insights
  • Design, develop, and implement data processing pipelines at scale
  • Present programming documentation and design to team members and convey complex information in a clear and concise manner.
  • Extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient programming processes.
  • Write and refine code to ensure performance and reliability of data extraction and processing.
  • Communicate with all levels of stakeholders as appropriate, including executives, data modelers, application developers, business users, and customers
  • Participate in requirements gathering sessions with business and technical staff to distill technical requirements from business requests.
  • Partner with clients to fully understand business philosophy and IT Strategy; recommend process improvements to increase efficiency and reliability in ETL development.
  • Collaborate with Quality Assurance resources to debug code and ensure the timely delivery of products.
  • Some of our technologies might include: HDFS, Cassandra, Spark, Java, Scala, Informatica, SQL Server, Oracle, Ab Initio, Kafka.
    Qualifications
    • Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field.
    • At least 3 years of proven experience as a Data Engineer.
    • Expert proficiency in Python, C++, Java, R, and SQL.
    • Familiarity with Hadoop or suitable equivalent.
    • Excellent analytical and problem-solving skills.
    • A knack for independent and group work.
    • Scrupulous approach to duties.
    • Capacity to successfully manage a pipeline of duties with minimal supervision.
    Additional Information

    All your information will be kept confidential according to EEO guidelines.

    Apply