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Part Time Data Engineer Jobs in Montana (NOW HIRING)

Evening Houseperson

Missoula, MT

$12.50 - $16/hr

Must have the ability to assimilate complex information, data, etc. from multiple sources and ... Report any engineering problems or repairs to the Housekeeping Supervisor or Manager * Return any ...

Evening Houseperson

Missoula, MT · On-site

$12.50 - $16/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Must have the ability to assimilate complex information, data, etc. from multiple sources and ... Report any engineering problems or repairs to the Housekeeping Supervisor or Manager * Return any ...

Life Enrichment Assistant

Bozeman, MT · On-site

$15.75 - $18.75/hr

Description Life Enrichment Assistant The Springs Living - Bozeman Part-Time | Hourly Position Help ... Basic computer skills including email, Microsoft Office, and data entry * Excellent organizational ...

Life Enrichment Assistant

Bozeman, MT · On-site

$15.75 - $18.75/hr

Description Life Enrichment Assistant The Springs Living - Bozeman Part-Time | Hourly Position Help ... Basic computer skills including email, Microsoft Office, and data entry * Excellent organizational ...

Marketing Coordinator

Helena, MT · On-site

$24 - $30/hr

  • Retirement

Regular Full-Time or Part-Time Robert Peccia & Associates (RPA) is excited to offer a dynamic ... Data & Organization : Maintain marketing files, resumes, project descriptions, and contact lists to ...

Showing results 21-33

Part Time Data Engineer information

See Montana salary details

$40.8K

$119.1K

$162.9K

How much do part time data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for part time data engineer in Montana is $119,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $126,200.00 per year, depending on experience, location, and employer.

What is a part time data engineer?

A Part-Time Data Engineer is responsible for designing, building, and maintaining data pipelines and databases on a reduced-hour basis. They work with structured and unstructured data to ensure efficient storage, retrieval, and processing, often collaborating with data analysts and scientists. This role is ideal for professionals seeking flexible work arrangements while still contributing to data infrastructure and analytics. Part-time data engineers may work as freelancers, consultants, or employees with reduced-hour contracts. Their responsibilities can vary based on company needs but typically involve ETL processes, cloud data management, and performance optimization.

What types of projects and responsibilities can I expect as a part time data engineer?

As a Part Time Data Engineer, you might work on projects such as developing and maintaining data pipelines, optimizing database performance, and preparing data for analytics and reporting. Responsibilities often include extracting, transforming, and loading (ETL) data, collaborating with data analysts and scientists, and troubleshooting data-related issues. You may also help implement data quality checks or participate in cloud migration initiatives. The scope of your work will typically be focused and project-based, making sure your contributions have a tangible impact within a flexible schedule.

What are the key skills and qualifications needed to thrive as a part time data engineer?

To thrive as a Part Time Data Engineer, you need strong programming skills (usually in Python, SQL, or Scala), a solid understanding of data warehousing concepts, and experience with ETL pipelines, typically supported by a relevant degree or equivalent experience. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and relevant certifications such as Google Professional Data Engineer or AWS Certified Data Analytics, are highly valued. Effective time management, problem-solving abilities, and clear communication are standout soft skills for this flexible role. These skills are crucial because they enable part-time data engineers to efficiently deliver reliable data solutions while collaborating across teams in dynamic work environments.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data management, analytics, and infrastructure projects. Skills in SQL, cloud platforms, and data pipeline tools remain valuable, and remote or flexible schedules are increasingly common in this field.

Can I work remotely as a part time data engineer?

Part time data engineers can often work remotely, especially if the employer supports telecommuting and the role involves tasks like data analysis, pipeline development, or database management that can be performed online. Remote work arrangements depend on company policies, project requirements, and the need for collaboration or on-site access to certain tools or data.

What are the most commonly searched types of Data Engineer jobs in Montana?

The most popular types of Data Engineer jobs in Montana are:

What are popular job titles related to Part Time Data Engineer jobs in Montana?

For Part Time Data Engineer jobs in Montana, the most frequently searched job titles are:

What job categories do people searching Part Time Data Engineer jobs in Montana look for?

The top searched job categories for Part Time Data Engineer jobs in Montana are:

Infographic showing various Part Time Data Engineer job openings in Montana as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $119,060 per year, or $57.2 per hour.

Analytics Instructors for the Jake Jabs College of Business & Entrepreneurship Non-Tenure Track Facu

Montana State University

Bozeman, MT • On-site

Full-time, Part-time

Re-posted 29 days ago


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Company rating: 7.1 out of 10

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Job description

Position Details
Position Information
Announcement Number
FAC - VA - 26123
For questions regarding this position, please contact:
Andreas Thorsen406-994-6196
andreas.thorsen@montana.edu
Classification Title
Instructor
Working Title
Analytics Instructors for the Jake Jabs College of Business & Entrepreneurship Non-Tenure Track Faculty (Applicant Pool)
Brief Position Overview
The Jake Jabs College of Business and Entrepreneurship offers a Bachelor of Science in Business, with required and elective analytics courses throughout the curriculum for all concentrations (management, marketing, finance, accounting, and hospitality management). Analytics courses are also taught in the M.S. in Innovation and Management graduate program. Primarily, we are seeking experienced analytics professionals capable of teaching a variety of established analytics courses within our curriculum, which includes business analytics, data analytics I and II, operations management, applied data science, and operations and supply chain management. Additionally, we are interested in candidates capable of developing analytics coursework in contemporary and industry-relevant areas in our concentrations.
Faculty Tenure Track
No
Faculty Rank
Non-Tenure Track
Position Number
4A6471
Department
Jabs College of Business Instruct
Division
College of Business
Appointment Type
Non-Tenure Track (Pooled)
Contract Term
Other
Semester
Fall or Spring
If other, specify From date
If other, specify End date
Union Affiliation
Contact HR for Determination
FTE
Varies
Benefits Eligible
Depends on FTE (please contact Human Resources - 406-994-3651)
Salary
Salary commensurate with experience, education, and qualifications
Contract Type
LOA
If other, please specify
Recruitment Type
Open
Position Details
General Statement
Montana State University invites experienced analytics professionals to the Jake Jabs College of Business and Entrepreneurship faculty as Instructors, delivering high-quality instruction at the undergraduate and graduate levels. We seek dedicated professionals who are passionate about teaching and mentoring students, possess strong interpersonal and communication skills, and can collaborate effectively with faculty and staff. The ideal candidate will contribute to student success and academic excellence while supporting the mission of Montana State University through engaging, real-world marketing education. Instructional assignments are contingent upon departmental needs and the availability of funding.
Applications are accepted on a continual basis (unless otherwise indicated) and will be maintained in the pool for up to two years. After two years, candidates will be notified to resubmit their application materials for continued consideration.
Application materials will be reviewed by the appropriate search committee or hiring authority, and applicants will be notified if they are being considered for an open position.
Non-tenure-track appointments may be part-time or full-time and vary in duration depending on the specific needs of the department or program. Salary is dependent on the number of courses taught and the duration of the appointment.
Duties and Responsibilities
  • Teach undergraduate and/or graduate analytics courses in on-campus and/or online formats, ensuring high-quality, engaging instruction.
  • Incorporate real-world applications and experiential learning to enhance student understanding of data and business analytics concepts.
  • Stay current with industry trends, professional standards, and advancements in analytics education to maintain course relevance.
  • Foster a welcoming and supportive learning environment.

Required Qualifications - Experience, Education, Knowledge & Skills
  1. Master's degree in a computational field related to business analytics (e.g., M.S. in Business Analytics, Information Systems, Data Science, Statistics, Operations Research, Industrial Engineering) from an accredited institution, OR a Master's degree from an accredited institution, plus a minimum of 5 years of significant analytics work experience in the field.

Preferred Qualifications - Experience, Education, Knowledge & Skills
  1. Demonstrated ability to teach undergraduate and/or graduate courses in analytics, and demonstrated ability to bring current, real-world case studies into the classroom.
  2. Proven track record of applying analytics in complex sectors such as supply chain, healthcare, finance, or marketing technology.
  3. A strong ability to present technical insights to non-technical stakeholders
  4. Strong technical knowledge of data analytics software and tools (e.g., spreadsheets, SQL, and visualization software).
  5. Ph.D. in a computational area related to business analytics.

The Successful Candidate Will
  • Be committed to experiential learning, incorporating real-world applications, case studies, and industry partnerships into teaching.
  • Be committed to supporting, mentoring, and inspiring students from all backgrounds.
  • Be committed to utilizing effective pedagogy that involves students in the learning process.
  • Have the ability to work well with faculty, staff, and students in a dynamic environment.

Position Special Requirements/Additional Information
The position for which you have applied MAY BE a Union position. Union affiliation is determined by job duties and the collective bargaining unit.
  • Non-Tenure Track Faculty - Any position that is .5 FTE or more is represented by the Associated Faculty of Montana State University (AFMSU). Faculty covered by AFMSU may choose to pay membership dues. This is a condition of employment. Additional information can be found at AFMSU or by emailing AFSMU
    • Any position less than .5 FTE is not represented by the Union and is not required to pay dues.
    • If the FTE changes during employment, the representational status of this position could be impacted.
    • Exceptions: Anyone having successfully completed a PEI exam or any faculty working in Extension are exempt from the Union.

This job description should not be construed as an exhaustive statement of duties, responsibilities or requirements, but a general description of the job. Nothing contained herein restricts Montana State University's rights to assign or reassign duties and responsibilities to this job at any time.
Physical Demands
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily with or without reasonable accommodations. The requirements listed above are representative of the knowledge, skill, and/or ability required.
The Program
The Department
The College
Montana State University is located in Bozeman, MT, an area renowned for its natural beauty and environmental richness. The area offers exceptional school systems, access to art and music, and a myriad of outdoor activities. Montana State University is a Carnegie R1-designated university, hosting scholars from around the world, and the Jake Jabs College of Business & Entrepreneurship is experiencing sustained and unprecedented growth. We are dedicated to providing outstanding education for our students and to supporting the scholarship efforts of our faculty. Our College of Business is AACSB-accredited.
Posting Detail Information
Number of Vacancies
Multiple Positions
Desired Start Date
Review of applications will be on a continual basis and will continue until the position(s) are filled.
Position End Date (if temporary)
Open Date
Close Date
Applications will be:
Applications will be accepted and screened for the duration of this pool.
Special Instructions
Documents required:
  1. A letter of application that includes (1) why you are interested in teaching in the Marketing & Analytics option in the Jake Jabs College of Business & Entrepreneurship, and (2) what classes/analytics topics you are most qualified to teach.
  2. A copy of the graduate-level academic transcript (unofficial transcripts acceptable at the time of application; official transcripts required upon hire).
  3. A curriculum vitae or professional resume, and
  4. A list of the three current academic or professional references (please list in the Professional References section of the online application).

This position is not eligible for NEW sponsorship.
Review of applications will be on a continual basis and will continue until the position(s) are filled. Applicants are retained in the hiring pool for up to two years.
EEO Statement
Montana State University is an equal opportunity employer. MSU does not discriminate against any applicant on the basis of race, color, religion, creed, political ideas, sex, sexual orientation, gender identity or expression, age, marital status, national origin, physical or mental disability, or any other protected class status in violation of any applicable law.
In compliance with the Montana Veteran's Employment Preference Act, MSU provides preference in employment to veterans, disabled veterans, and certain eligible relatives of veterans. To claim veteran's preference, please complete the veteran's preference information located in the Demographics section of your profile.

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