Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Currently enrolled in an accredited university pursuing a degree in Data Science, Computer Science, Statistics, Business Analytics, Mathematics, Data Engineering, Artificial Intelligence, or related technical field
Would you like to work in an exciting fast-paced start-up place with the backing of a household name company like Sallie Mae to help millions of people meet their educational needs every day?
Our new venture, Sallie, is looking for people like you who will define the future of education services for students and their families in the US.
Use SQL and Python to prepare, transform and analyze data from multiple sources
Support development of data pipelines, analytical solutions and reporting tools
Contribute to predictive models, time series forecasts and AI enablement
Investigate data quality issues and validate analysis logic and results
Document technical methods and explain findings to nontechnical partners
Would you like to work in an exciting fast-paced start-up place with the backing of a household name company like Sallie Mae to help millions of people meet their educational needs every day? Together, we’re connected by the same drive—to be a champion for all students and help them make smart decisions with confidence. Do more than join something—change something…for students, for future generations, and for the future of education.
Our new venture, Sallie, is looking for people like you who will define the future of education services for students and their families in the US. As the first education solutions company, we’re creating products and experiences that help students when they need it most. We’re connecting students to free money for school, providing tools and resources to plan for college, sharing inside advice on campus life, and so much more. Visit https://www.sallie.com/about to learn more about us.
Use SQL and Python to prepare, transform, and analyze data from multiple sources.
Support the development of data pipelines, analytical solutions, and reporting tools.
Contribute to predictive models, time series forecasts, and AI enablement.
Investigate data quality issues and validate the logic and results of analyses and data products.
Document technical methods and findings and communicate results to nontechnical partners.
Knowledge, Skills, and Abilities:
Experience using SQL to query, join, filter, and aggregate data.
Experience using Python for data analysis, machine learning, or artificial intelligence.
Ability to explain analytical findings and technology solutions to a nontechnical audience.
Experience with a cloud data platform such as Snowflake, Databricks, or AWS
Experience with version control systems such as GitHub
Experience analyzing website, paid media, or CRM data from platforms such as Meta, HubSpot, or Salesforce
Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 5
Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
1 open job
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Responsibilities include: - Use SQL and Python to prepare, transform, and analyze data from multiple sources. - Work with team members to understand business requirements and translate them into technical solutions.
- Experience using SQL to query, join, filter, and aggregate data. - Experience using Python for data analysis, machine learning, or artificial intelligence. - Working knowledge of digital marketing measurement, including funnel metrics such as click-through rates, UTM tracking, campaign attribution, and traffic sources.
Qualifications: - Experience using SQL to query, join, filter, and aggregate data. - Experience using Python for data analysis, machine learning, or artificial intelligence.
Preferred Qualifications - Experience with a cloud data platform such as Snowflake, Databricks, or AWS - Experience with version control systems such as GitHub
Complete your application on sallie-mae.wd5.myworkdayjobs.com. The employer’s form will show what is required.
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
When you join Sallie, you become a champion for all students.
Sallie’s Education Services team is a diverse group of growth-obsessed entrepreneurs, data analysts, engineers, and developers with a passion for imagining and building scalable businesses for students and families on their unique journey to-through and immediately after higher education. We’re on a mission to revolutionize how students and their families plan, pay and complete this journey with confidence. Join a team of seekers, challengers and creative thinkers to change the way students plan for their future for the better.
Sallie Mae is proud to help Americans aspiring to create the life they want, whether that means helping them make college happen, or something more. Our colleagues across departments and across the country are united in our passion and our customer-first approach. Whether you want to join a growing company, be part of an agile workforce, or gain new skills, you're in the right place.
Program Overview:
The Sallie Mae Internship program seeks to attract and develop exceptional early talent while adding value to our organization. Our goal is to tie academic learning into a practical business setting while fostering professional and personal growth within a student’s area of focus. Over the course of the summer, interns will gain exposure to senior leaders, attend meetings, work alongside mentors, and receive valuable performance feedback.
Position Summary:
Would you like to work in an exciting fast-paced start-up place with the backing of a household name company like Sallie Mae to help millions of people meet their educational needs every day? Together, we’re connected by the same drive—to be a champion for all students and help them make smart decisions with confidence. Do more than join something—change something…for students, for future generations, and for the future of education.
Our new venture, Sallie, is looking for people like you who will define the future of education services for students and their families in the US. As the first education solutions company, we’re creating products and experiences that help students when they need it most. We’re connecting students to free money for school, providing tools and resources to plan for college, sharing inside advice on campus life, and so much more. Visit https://www.sallie.com/about to learn more about us.
Key Responsibilities:
The Data Science & Engineering Intern will work with our data team on projects supporting digital marketing, digital products, business analytics, and student lending. Projects may involve contributing to data pipelines, predictive analytics, dashboards, backend development, AI agents, or other data projects that enable our businesses.
Responsibilities include:
The ideal candidate is curious about both how data systems work and the businesses and products they support. They are comfortable learning unfamiliar tools, asking clarifying questions, and taking responsibility for the accuracy of their work.
Education:
Currently enrolled in an accredited university pursuing a degree in Data Science, Computer Science, Statistics, Business Analytics, Mathematics, Data Engineering, Artificial Intelligence, or related technical field. Open to undergraduate and graduate level students with expected graduation dates of Dec 2027 - May 2028
Availability:
This is a 12-week paid internship and expectations for a 40-hour work week for the following dates 6/7/2027 – 8/28/2027. We follow a flexible 3-day per week in-office policy and open to working out of our Newark, DE or Arlington, VA offices.
Knowledge, Skills, and Abilities:
Qualifications:
Preferred Qualifications
Feeling your best helps you do your best:
Competitive base salaries
Bonus incentives
Generous PTO, Floating Holidays and 12 Federal Holidays observed
Support for financial-well-being and retirement 401k with employer match
Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more
Employer paid short-term/long-term disability and basic life insurance
Flexible hybrid working arrangements.
Paid parental leave and adoption reimbursement programs
Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware)
Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives
Tuition Reimbursement and Family Scholarship Programs
Career development and training opportunities
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Newark, DE
- Employer paid short-term/long-term disability and basic life insurance - Flexible hybrid working arrangements. - Paid parental leave and adoption reimbursement programs - Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware) - Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives
No clear work-authorization passage found. Eligibility is unconfirmed.