Qualifications Pursuing a degree in math, engineering, statistics, econometrics, data science or related quantitative field at Stanford University Prior experience or internship with data analysis ...
Qualifications Pursuing a degree in math, engineering, statistics, econometrics, data science or related quantitative field at Stanford University Prior experience or internship with data analysis ...
Qualifications Pursuing a degree in math, engineering, statistics, econometrics, data science or related quantitative field at Stanford University Prior experience or internship with data analysis ...
Qualifications Pursuing a degree in math, engineering, statistics, econometrics, data science or related quantitative field at Stanford University Prior experience or internship with data analysis ...
Qualifications Pursuing a degree in math, engineering, statistics, econometrics, data science or related quantitative field at Stanford University Prior experience or internship with data analysis ...
Qualifications Pursuing a degree in math, engineering, statistics, econometrics, data science or related quantitative field at Stanford University Prior experience or internship with data analysis ...
Qualifications Pursuing a degree in math, engineering, statistics, econometrics, data science or related quantitative field at Stanford University Prior experience or internship with data analysis ...
Qualifications Pursuing a degree in math, engineering, statistics, econometrics, data science or related quantitative field at Stanford University Prior experience or internship with data analysis ...
Qualifications Pursuing a degree in math, engineering, statistics, econometrics, data science or related quantitative field at Stanford University Prior experience or internship with data analysis ...
Qualifications Pursuing a degree in math, engineering, statistics, econometrics, data science or related quantitative field at Stanford University Prior experience or internship with data analysis ...
Qualifications Pursuing a degree in math, engineering, statistics, econometrics, data science or related quantitative field at Stanford University Prior experience or internship with data analysis ...
Qualifications Pursuing a degree in math, engineering, statistics, econometrics, data science or related quantitative field at Stanford University Prior experience or internship with data analysis ...
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Data Marketing Engineering Intern
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Software Development Engineer - Big Data, Brand Metrics and Benchmarks
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Roseland, NJ · Remote
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Data Science and Analytics Intern
Roseland, NJ · Remote
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... relevant internship experience * Comfort with analyzing novel data and explaining concepts to non-technical partners * Basic proficiency with technical coding/programming (SQL, Python) * Great ...
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Internship Program
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Internship Program
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Data Engineer Internship information
See Rutherford, NJ salary details
$13.72 - $16.06
5% of jobs
$16.06 - $18.40
7% of jobs
$20.69 is the 25th percentile. Wages below this are outliers.
$18.40 - $20.74
13% of jobs
$20.74 - $23.08
9% of jobs
The median wage is $24.96 / hr.
$23.08 - $25.42
19% of jobs
$25.42 - $27.76
18% of jobs
$28.34 is the 75th percentile. Wages above this are outliers.
$27.76 - $30.10
14% of jobs
$30.10 - $32.44
7% of jobs
$32.44 - $34.78
4% of jobs
$34.78 - $37.12
0% of jobs
$37.12 - $39.45
3% of jobs
$13
$25
$39
How much do data engineer internship jobs pay per hour?
What is a Data Engineer Internship job?
What are the key skills and qualifications needed to thrive in the Data Engineer Internship position, and why are they important?
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Full-time
Posted 14 days ago
Hearst rating
6.7
Based on 24 frontline employees who took The Breakroom Quiz
48th of 64 rated media
Job description
Stanford Rebele Data Science Internship, Summer 2026
At Hearst Newspapers, data drives the way we engage millions of readers across our publications. We're looking for an ambitious intern to join our Data and Insights team, where you'll tackle real-world challenges in digital media, audience growth, and storytelling at scale.
This internship is paid through the Stanford Rebele Internship Program. To be eligible, candidates must be current Stanford University students.
This internship will run from June 8 to August 14, 2026, and can be based in either California or New York.
This is an opportunity to shape strategic decisions by translating complex data into powerful insights. You'll work cross-functionally with newsrooms, marketing, and audience teams to help the business understand how audience development drives outcomes for the business. You'll help to answer questions like, "Do TikTok followers views lead to business outcomes", "What platforms attract our most valuable audiences?", "How do our users engage and interact with our investigative data-journalism projects, and does that engagement ultimately result in business outcomes".
You will work directly with both technical and non-technical users to translate business questions into data problems that our data can solve. That work will involve building ad-hoc reports and dashboards, conducting exploratory analysis, and modeling data to help solve business problems.
Working within the larger Data and Insights team, you will be collaborating with other analysts, data scientists, and data engineers to understand how a business intelligence team functions in a media organization as you learn to hone your data skills.
What You'll Gain
Hands-on experience working with BigQuery, Python, and large-scale datasets.
A front-row seat to the inner workings of a modern media company at the intersection of data and journalism.
The opportunity to present your findings to senior stakeholders - your insights will directly influence strategy.
Qualifications
Pursuing a degree in math, engineering, statistics, econometrics, data science or related quantitative field at Stanford University
Prior experience or internship with data analysis (as an analyst, in analytics, business intelligence or similar)
Familiarity with SQL (BigQuery preferred)
Familiarity with Python for data analysis
Strong verbal and written communication, especially when presenting to non-technical stakeholders
This is your chance to leave a mark on one of the largest digital news organizations in the country. If you're excited about data, media, and real-world impact, we'd love to hear from you!
HNP Overview:
With 2,500 employees across the nation, Hearst Newspapers (HNP) represents a network of 28 daily and 50 weekly publications, including the Austin American-Statesman, Houston Chronicle, San Antonio Express-News, San Francisco Chronicle and Times Union (Albany). Our portfolio also includes several top digital-only news and lifestyle sites such as Chron., CT Insider, MySA and SFGATE, along with marketing services businesses like Medium Giant and entertainment brands such as King Features Syndicate.
At HNP, we're investing in new and innovative ways to tell stories - growing newsrooms, diversifying tools and evolving platforms - to support the millions of people who trust us each month to help them make decisions, take action and be inspired.
Be part of something bigger - Your Headline Awaits
#LI-DH1
#LI-Hybrid
About Hearst
Sourced by ZipRecruiter
Industry
Motion picture and video production
Company size
10,000+ Employees
Headquarters location
New York, NY, US
Year founded
1887