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Remote Financial Engineering Intern Jobs in Pullman, WA

Data Engineer

Moscow, ID · On-site +1

$85K/yr

... remote option Posting Context Statement Join the University of Idaho's Office of Information ... Two years of experience in data engineering, software development or a closely related technical ...

Remote Financial Engineering Intern information

See Pullman, WA salary details

$10

$18

$28

How much do remote financial engineering intern jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for remote financial engineering intern in Pullman, WA is $18.87, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $20.43 per hour, depending on experience, location, and employer.

What are some common challenges faced by Remote Financial Engineering Interns, and how can they effectively overcome them?

Remote Financial Engineering Interns often encounter challenges related to communication and collaboration, since much of their work involves complex quantitative modeling and teamwork with senior engineers or analysts. To overcome these hurdles, interns should proactively schedule regular check-ins with mentors, utilize collaborative tools for code sharing and project management, and clearly document their work. Additionally, managing time zones and staying self-motivated are key—setting a structured daily routine and leveraging virtual learning sessions can help interns stay productive and connected with their teams.

What are the key skills and qualifications needed to thrive as a Remote Financial Engineering Intern, and why are they important?

To thrive as a Remote Financial Engineering Intern, you need a solid background in quantitative finance, programming (such as Python or R), and mathematical modeling, typically supported by coursework in finance, mathematics, or engineering. Familiarity with financial analysis software, coding platforms, data visualization tools, and potentially Bloomberg Terminal or similar systems is highly beneficial. Strong analytical thinking, attention to detail, self-motivation, and effective written communication are vital soft skills for remote collaboration and problem-solving. These competencies are essential for contributing to complex financial projects, interpreting data accurately, and working efficiently within distributed teams.

What is a Remote Financial Engineering Intern?

A Remote Financial Engineering Intern is a student or recent graduate who works remotely to support financial engineers in tasks like modeling financial products, analyzing data, programming algorithms, and assisting with risk management. This role typically involves using quantitative skills and programming languages such as Python, R, or MATLAB to solve real-world financial problems. Interns may work for investment banks, hedge funds, fintech companies, or financial consultancies, gaining hands-on experience in quantitative finance without needing to be on-site.
What job categories do people searching Remote Financial Engineering Intern jobs in Pullman, WA look for? The top searched job categories for Remote Financial Engineering Intern jobs in Pullman, WA are:
What cities near Pullman, WA are hiring for Remote Financial Engineering Intern jobs? Cities near Pullman, WA with the most Remote Financial Engineering Intern job openings:

Data Engineer

University of Idaho Job

Moscow, ID • On-site, Remote

$85K/yr

Full-time

Posted 10 days ago


Job description

Position Information
Internal Posting? Posting Number SP005375P Position Title Data Engineer Division/College Information Technology Services Department Enterprise Applications Location Moscow, Off Campus Location - Possible hybrid/remote option Posting Context Statement
Join the University of Idaho's Office of Information Technology at the start of a multi-year data modernization initiative. As a Data Engineer, you will design and build ingestion pipelines, develop trusted data products, and help establish the architecture of our lakehouse platform. This is a hands-on role where you will work with stakeholders across data domains, contribute to foundational decisions, and see your work become the data layer powering institutional analytics and AI applications at a public R1 university.
Position Overview
The Data Engineer supports the design, development, and operation of the university's enterprise data platform. This position is focused on building the data pipelines, transformations and data products that power institutional analytics and decision-making on the lakehouse platform.
The Data Engineer will work closely with the Technical Product Manager for Enterprise Data, Data Governance Manager and institutional stakeholders to ingest, transform and serve data across the university's lakehouse. The position offers meaningful hands-on work with Databricks, Delta Lake, and cloud infrastructure in a collaborative, mission-driven environment.
Duties may include:
  • Building and maintaining data ingestion pipelines from enterprise source systems
  • Transforming raw data into clean, structured data products using medallion architecture principles
  • Supporting the Databricks lakehouse platform including Unity Catalog administration and pipeline monitoring
  • Collaborating with data consumers, analysts and product managers to define and deliver data products
  • Documenting data pipelines, data models and platform runbooks
  • Other duties as assigned
Unit URL
Join Office of Information Technology (OIT) | University of Idaho
Position Qualifications
Required Experience
  • Two years of experience in data engineering, software development or a closely related technical role
  • Demonstrated experience writing Python or SQL to process, transform or analyze data
  • Experience building or supporting data pipelines or ETL/ELT workflows in a production environment
Required Education
  • Bachelor's degree in Computer Science, Information Technology, Management of Information Systems or a related field; four additional years of experience (for a total of six years) may substitute for a Bachelor's Degree
Required Other
  • None
Additional Preferred
  • Three (3) or more years of experience in data engineering or a closely related technical field
  • Databricks Certified Data Engineer Associate or Professional certification
  • Bachelor's degree or higher in a technical field
  • Experience with:
    • Cloud-based data lakehouse platforms (Databricks preferred)
    • PySpark or distributed data processing frameworks
    • Data modeling patterns including medallion architecture, dimensional modeling or data vault concepts
    • ERP data structures in student, HR or finance domains (Banner/Ellucian preferred)
    • Cloud platforms
    • Source control and collaborative development workflows (Git, pull request reviews)
    • Data quality frameworks and tooling (e.g., dbt tests or similar)
    • BI platform connectivity and supporting analytical consumers (Power BI or similar)
    • Higher education technology environments and constituent-sensitive data
    • Agile development methodologies and sprint-based delivery
Physical Requirements & Working Conditions
  • None

Degree Requirement Listed degree qualification is required at time of application
Posting Information
FLSA Status Exempt Employee Category Exempt Pay Range $85,000.00 annually +DOE Type of Appointment Academic Year FTE
1
Full Time/Part Time Full Time Funding A visa sponsorship is available for the position listed in this vacancy. No Posting Date 07/17/2026 Closing Date Open Until Filled Yes Special Instructions to Applicants
Position will remain open until a qualified pool of applicants is identified. Applications received on or before August 3, 2026, will receive first consideration.
Applicant Resources https://www.uidaho.edu/human-resources/careers/applicant-resources Background Check Statement
Applicants who are selected as final possible candidates must be able to pass a criminal background check.
EEO Statement
The University of Idaho is an equal employment opportunity employer, including veterans and individuals with disabilities.