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Remote Data Science Intern Jobs in Everett, WA (NOW HIRING)

Data Engineer

Seattle, WA · On-site +1

$130K - $150K/yr

Seattle candidates will have a hybrid remote/in-office schedule where you will work from our casual ... Bachelor's level degree or higher in Computer Science, Engineering, or equivalent practical ...

New

AI Engineer - Machine Learning 3

Redmond, WA · Remote

$117K - $140K/yr

Requirement - AI Engineer - Machine Learning 3 Location- Redmond, WA 98052-Remote Contract W2 Title: Machine Learning Data Scientist - Research Translation & Prototypin Top 3 Must-Have HARD Skills ...

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS ... data science. * 4-6 years of strong experience with the following machine learning topics ...

Remote Job Overview We are seeking experienced AI Consulting Domain Experts to contribute their ... Annotate data, interpret findings, and perform fact-checking to ensure high-quality content.

New

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Remote Data Science Intern information

See Everett, WA salary details

$13

$24

$46

How much do remote data science intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote data science intern in Everett, WA is $24.86, according to ZipRecruiter salary data. Most workers in this role earn between $19.13 and $27.07 per hour, depending on experience, location, and employer.

What is a remote data science intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What types of projects does a remote data science intern typically work on, and how do they collaborate with their team?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

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

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

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

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.
What are popular job titles related to Remote Data Science Intern jobs in Everett, WA? For Remote Data Science Intern jobs in Everett, WA, the most frequently searched job titles are:
What cities near Everett, WA are hiring for Remote Data Science Intern jobs? Cities near Everett, WA with the most Remote Data Science Intern job openings:
Infographic showing various Remote Data Science Intern job openings in Everett, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $51,709 per year, or $24.9 per hour.

Data Engineer

Trupanion

Seattle, WA • On-site, Remote

$130K - $150K/yr

Full-time

Medical, Dental, Vision, PTO

Posted yesterday

New


Trupanion rating

9.6

Company rating: 9.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

5th of 304 rated insurance


Job description

Company Description

Trupanion is a leading provider of medical insurance for cats and dogs in North America. Our mission is to help loving, responsible pet owners budget and care for their pets. At Trupanion, we offer a collaborative, casual, and pet-friendly environment where everyone is encouraged to be themselves.

Job Description

The Data Engineer is responsible for designing, building, and optimizing reliable, scalable, and auditable data systems on our modern Databricks Lakehouse platform hosted in Microsoft Azure. In this role, you will be on the cutting edge of data engineering-thinking, designing, and documenting data marts.

We are looking for a dynamic, forward-thinking engineer who is passionate about the latest developments in the data ecosystem and places the utmost importance on data quality and governance. You will work closely with your team and peers to drive the evolution of continuous delivery, automated quality frameworks, and agile data products.

This position is open across the United States with a preference for those in Seattle or the East Coast time zone. Seattle candidates will have a hybrid remote/in-office schedule where you will work from our casual, pet-friendly office at least 3 days a week

What you will do

  • Data Ingestion & Pipeline Reliability: Responsible for ensuring continuous, accurate data availability by monitoring, troubleshooting, and optimizing batch and real-time streaming pipelines across the Medallion architecture to deliver stable, high-availability data feeds with minimal downtime.
  • Data Mart Delivery & Business Modeling: Responsible for delivering query-ready Gold-layer data marts, dimensional models, and aggregate tables by partnering directly with Data Analytics and Data Science teams to map business requirements into high-performance user-facing schemas.
  • Data Contract Validation & Ingestion Quality: Responsible for protecting the integrity of the Lakehouse by configuring automated validation gates and alerts at the ingestion stage to catch and block corrupt or non-compliant source data
  • Data Quality Frameworks & Precision: Responsible for maintaining flawless data integrity and trust across all data products by writing, deploying, and maintaining automated data quality test suites and expectations for key transformation stages.
  • Data Governance & Asset Discoverability: Responsible for ensuring all data assets are easily discoverable by documenting schemas, applying metadata tags
  • Cross-Functional Collaboration & Autonomy: Responsible for serving as an autonomous data engineering partner to downstream teams by proactively investigating data discrepancies, resolving support tickets, and aligning business definitions to unblock analysts and data scientists.

Experience you have:  

  • Education: Bachelor's level degree or higher in Computer Science, Engineering, or equivalent practical experience.
  • Core Data Engineering: Minimum 2+ years of experience designing, building, and enhancing high-performance pipelines (ETL/ELT) and building optimized Data Marts across the enterprise.
  • Databricks Ecosystem: Minimum 2+ years of deep technical experience within a Databricks-centric environment leveraging:
    • Delta Lake & Apache Spark (PySpark / SparkSQL)
    • Unity Catalog for data governance, lineage, and documentation
    • Delta Live Tables (DLT) or similar orchestration tools
  • Data Quality First: Proven experience implementing robust data quality, testing, and monitoring frameworks (e.g., Great Expectations, Databricks Expectations, or custom data quality gates) to ensure flawless data integrity.
  • DevOps & Lifecycle: Experience required with software and infrastructure change management, CI/CD pipelines (Azure DevOps/GitHub Actions), and source code control.

What you'll bring:  

  • Modern Lakehouse Architecture: Passion for the latest industry trends, including the Medallion Architecture (Bronze/Silver/Gold), Data Contracts, and decentralized data design.
  • Design & Documentation: Strong conceptual thinker who doesn't just build, but actively designs and documents data assets, schemas, and definitions directly within Unity Catalog.
  • Pipeline Versatility: Hands-on experience implementing data pipelines for a variety of flows, including batch data integrations, real-time streaming analytics (Structured Streaming), and big data analytics.
  • Observability: Experience setting up comprehensive logging, alerting, and monitoring solutions for Spark jobs and data pipelines.
  • Agile & Dynamic Mindset: Thrives in a fast-paced, Agile software development environment, with a strong proactive drive to learn and adopt new tools and features as the Databricks ecosystem evolves.
     

Compensation: 

  • Thebasesalaryrange for this position is$130,000 - $150,000, on a full-time schedule. 
  • Along with base compensation, Trupanion employees are currently eligible for monthly bonuses.
  • We want all employees to be invested inTrupanion'ssuccess, so we grant Restricted Stock Units to all new team members. Our new hire grants vest over 4 years. 
Additional Information

Benefits and Perks:

  • Full medical, dental, and vision benefits at no cost to the employee
  • Four weeks of paid time off and 9 paid float holidays (you can decide which days are most important to you!)
  • Five-week sabbatical after five years of employment
  • Open, casual, pet-friendly, and fun office environment
  • Free medical health insurance for your pet (1 dog or cat)
  • Paid time off to volunteer at nonprofit organizations
  • Seattle Office Amenities: Free on-site gym, free dog walking services for office pets during business hours, free parking, and paid ORCA cards.

For more information about Trupanion, visit https://trupanion.com/about

Learn more about how Trupanion has revolutionized our industry and the reimbursement model: https://www.youtube.com/watch?v=vdWZ4KHiPTQ

Trupanion is an equal-opportunity employer and embraces diversity. We are committed to building a team that represents a variety of backgrounds, abilities, perspectives, and skills.

We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodations.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.


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