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Entry Level Data Mining Jobs in Portland, OR (NOW HIRING)

Kiewit

Traveling Equipment Engineer

Vancouver, WA · On-site

... As an Entry Level Equipment Engineer, you will support Construction & Mining operations. This ... Use reliability and failure analysis data to increase equipment availability and reliability

All JobsData Mining JobsEntry Level Data Mining JobsEntry Level Data Mining Jobs in Portland, OR

Entry Level Data Mining information

See Portland, OR salary details

$54.1K

$74.2K

$94.4K

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

As of Jul 29, 2026, the average yearly pay for entry level data mining in Portland, OR is $74,235.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,300.00 and $90,100.00 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 Portland, OR? The most popular types of Data Mining jobs in Portland, OR are:
What are popular job titles related to Entry Level Data Mining jobs in Portland, OR? For Entry Level Data Mining jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Mining jobs in Portland, OR look for? The top searched job categories for Entry Level Data Mining jobs in Portland, OR are:
What cities near Portland, OR are hiring for Entry Level Data Mining jobs? Cities near Portland, OR with the most Entry Level Data Mining job openings:
Entry Level Data Mining jobs near you
Infographic showing various Entry Level Data Mining job openings in Portland, OR as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $74,235 per year, or $35.7 per hour.

Traveling Equipment Engineer

Kiewit Corporation

Vancouver, WA

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Kiewit Corporation rating

7.9

Company rating: 7.9 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

24th of 80 rated construction

Job description

Requisition ID: 179509 

Job Level: Entry Level 

Home District/Group: Kiewit Equipment Services 

Department: Equipment 

Market: Transportation 

Employment Type: Full Time 

Position Overview

As an Entry Level Equipment Engineer, you will support  Construction & Mining operations. This position is responsible for the planning, scheduling, budgeting, utilization and reliability of a construction and mining equipment fleet. The position will deal with day to day as well as long term issues related to an equipment fleet. The position's main focus will be to improve equipment reliability as well as implement, monitor, audit, and manage preventative maintenance programs.  

District Overview

Kiewit Equipment Services (KES) helps to ensure the profitability of Kiewit projects through the improved equipment utilization and mechanical reliability by delivering world-class equipment and service. 

Location

Live where you want; go where the work is!  It is important to note that this role will require you to be open to travel.

Responsibilities
  • Understand and comply with all federal, state, and company health, safety, and environmental requirements
  • Material handling and procurement 
  • Create and maintain tool/filter lists and documentation 
  • Inspections of equipment and parts
  • Logistics management and communication 
  • Long/short range equipment planning, scheduling, and budgeting
  • Planning and paperwork processing to prepare for critical lifts 
  • Use reliability and failure analysis data to increase equipment availability and reliability
  • Establish and maintain communications between all levels of supervision and management
  • Support of craft maintenance technicians - ordering parts, manage inventory, schedule crews, and manage quality and safety
  • Specialty projects as needed 
Qualifications
  • Has obtained an undergraduate AS/ BS degree in Diesel/Automotive Technology, Heavy Equipment Technology, Mechanical Engineering Technology, Construction Management
  • 1+ year of experience with equipment is preferred 
  • 1+ year of experience with equipment planning, scheduling, and budgeting is preferred 
  • Strong work ethic - Willing to do what it takes to get the job done
  • Strong organizational, time management and communication skills
  • Strong attention to detail and ability to focus on multiple projects at once while prioritizing tasks
  • Willingness to travel and relocate as required
  • Willingness to work in both office and field environments
  • Knowledge of CAD modeling programs is preferred 
  • Ability to freely access all points of a construction site or equipment yard in wide-ranging climates and environment

#LI-CA1

 Other Requirements:
    Regular, reliable attendance
    Work productively and meet deadlines timely
    Communicate and interact effectively and professionally with supervisors, employees, and others individually or in a team environment
    Perform work safely and effectively. Understand and follow oral and written instructions, including warning signs, equipment use, and other policies.
    Work during normal operating hours to organize and complete work within given deadlines. Work overtime and weekends as required.
    May work at various different locations and conditions may vary.

Base Compensation: 80,000 - 90,000 
(Actual compensation is subject to variation due to such factors as education, experience, skillset, and/or location)

This posting will be active from:  06/01/2026  - 09/01/2026  

We offer our fulltime staff employees a comprehensive benefits package that's among the best in our industry, including top-tier medical, dental and vision plans covering eligible employees and dependents, voluntary wellness and employee assistance programs, life insurance, disability, retirement plans with matching, and generous paid time off.

Equal Opportunity Employer, including disability and protected veteran status.

What Kiewit Corporation employees say

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About Kiewit

Sourced by ZipRecruiter

Kiewit Infrastructure Engineering's Design-Build team is driving clients to turn to Kiewit during all stages of design-build projects. Through our integrated design and construction approach, our multi-disciplinary team works together to improve schedule, control costs and minimize risk. Our construction-focused engineers work collaboratively with our estimators and builders to design solutions that are innovative, constructible, and designed with a focus on safety. Clients benefit from the proven processes and tools used by Kiewit to minimize project risk. We are an in-house resource that supports projects throughout the company. Our staff shares experiences gained, innovative concepts, and best practices for all projects that we support.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Omaha, NE, US

Year founded

1884

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