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Data Science Internship Jobs in Renton, WA (NOW HIRING)

Data Engineer III

Bellevue, WA · On-site

$53 - $72/hr

... 3+ years of non-internship professional software development experience building production ... Science, Engineering, Data Science, or related field PREFERRED QUALIFICATIONS • Experience ...

You will work closely with Amazon scientists, and other science interns to develop solutions and ... data mining, parallel and distributed computing, high-performance computing PREFERRED ...

A Bachelor's degree in Computer Science, Engineering, Data Science, or a related field is required ... of non-internship professional software development experience building production services.

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Data Science Internship information

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How much do data science internship jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for data science internship in Renton, WA is $25.31, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $27.60 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Science Internship position, and why are they important?

To thrive as a Data Science Intern, you need a solid understanding of statistics, data analysis, and programming languages such as Python or R, often supported by progress towards a degree in a quantitative field. Familiarity with tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau, Power BI) is highly valued. Strong problem-solving skills, eagerness to learn, and effective communication are essential soft skills for this role. These abilities are crucial for drawing insights from data, collaborating with technical and non-technical colleagues, and contributing meaningfully to projects.

What is a Data Science Internship job?

A Data Science Internship is a temporary position designed to provide hands-on experience in data analysis, machine learning, and statistical modeling. Interns typically work with large datasets, clean and preprocess data, build models, and generate insights to support business decisions. They may also collaborate with data scientists, engineers, and business teams to solve real-world problems. This role helps develop technical skills in Python, SQL, and data visualization while gaining industry exposure.

What types of projects or tasks can I expect to work on during a Data Science Internship?

As a Data Science Intern, you may be involved in projects such as analyzing datasets to uncover trends, building and testing predictive models, or creating visual reports to help stakeholders understand key findings. Interns often support ongoing research, assist with data cleaning and preprocessing, and collaborate on team projects under the guidance of experienced data scientists. Depending on the company's focus, you might also contribute to deploying models or automating data pipelines. These tasks are designed to give you practical experience with real-world data challenges and help develop your technical and analytical skills.

What are the most commonly searched types of Data Science jobs in Renton, WA? The most popular types of Data Science jobs in Renton, WA are:
What are popular job titles related to Data Science Internship jobs in Renton, WA? For Data Science Internship jobs in Renton, WA, the most frequently searched job titles are:
What job categories do people searching Data Science Internship jobs in Renton, WA look for? The top searched job categories for Data Science Internship jobs in Renton, WA are:
What cities near Renton, WA are hiring for Data Science Internship jobs? Cities near Renton, WA with the most Data Science Internship job openings:
Infographic showing various Data Science Internship job openings in Renton, WA as of July 2026, with employment types broken down into 14% Internship, 57% Full Time, and 29% Part Time. Highlights an 100% In-person job distribution, with an average salary of $52,652 per year, or $25.3 per hour.
Data Engineer (Starlink Network Analytics, Wi-Fi)

Data Engineer (Starlink Network Analytics, Wi-Fi)

SpaceX

Redmond, WA • On-site

$128K - $154K/yr

Full-time

Re-posted 9 days ago


SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

13th of 61 rated aerospace companies


Job description

Job Summary:
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. As a Data Engineer, you will be responsible for developing the strategy, key metrics, tools, software services, and processes for assessing how well key aspects of Starlink are scaling and how effective the Starlink Network is in serving millions of users around the globe.
Responsibilities:
• Build and maintain mission-critical infrastructure, tools, processes, and custom software to objectively assess growth areas for the Starlink program
• Automate the aggregation of metrics and detection of widespread application issues across Starlink network, including WiFi
• Lead technical investigations about chronic application-level issues
• Build ground-based software systems that ingest, transform, and store data
• Apply data analytics, models, and techniques to data products created by space vehicles
• Fuse data from multiple sources to create usable information
Qualifications:
Required:
• Bachelor’s degree in computer science, data science, physics, mathematics, or a STEM discipline
• 1+ years of data/software engineering experience (internship experience is applicable)
• Development experience in an object-oriented programming language (i.e. C, C++, Python)
Preferred:
• Experience in networking technologies and WiFi protocols (TCP/UDP, 802.11, etc)
• Experience building predictive models and machine learning pipelines on real world data (clustering analysis, prediction, anomaly detection)
• Experience in custom ETL design, implementation, and maintenance
• Experience handling large (TB+) datasets
• Experience with developing and deploying tools used for data analysis
• Ability to work effectively in a dynamic environment that includes working with changing needs and requirements
• Ability to take on projects that require taking initiative and developing new expertise
Company:
SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in 2002, the company is headquartered in Hawthorne, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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