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Remote Data Science Jobs in Pullman, WA (NOW HIRING)

University of Idaho Job

Data Engineer

Moscow, ID · On-site +1

$85K/yr

... remote option Posting Context Statement Join the University of Idaho's Office of Information ... Bachelor's degree in Computer Science, Information Technology, Management of Information Systems or ...

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Remote Data Science information

What are the key skills and qualifications needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

Can I work remotely as a remote data scientist?

Yes, many remote data scientist positions are available, allowing professionals to work from anywhere with a reliable internet connection. These roles often require skills in programming, data analysis, and familiarity with tools like Python, R, or SQL, and may involve collaboration through online platforms. Remote work arrangements are common in the data science field, especially with the increasing adoption of cloud-based tools and flexible schedules.

What is the difference between Remote Data Science vs Remote Data Analyst?

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

More about Remote Data Science jobs
What are the most commonly searched types of Data Science jobs in Pullman, WA? The most popular types of Data Science jobs in Pullman, WA are:
What job categories do people searching Remote Data Science jobs in Pullman, WA look for? The top searched job categories for Remote Data Science jobs in Pullman, WA are:
What cities near Pullman, WA are hiring for Remote Data Science jobs? Cities near Pullman, WA with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Pullman, WA as of July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

University of Idaho Job

Moscow, ID • On-site, Remote

$85K/yr

Full-time

Posted 18 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.

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