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Snowflake Intern Jobs in Philadelphia, PA (NOW HIRING)

Role Overview The Data Science Intern will help us to understand the performance of Executive ... Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake)

Snowflake Intern information

See Philadelphia, PA salary details

$8

$17

$24

How much do snowflake intern jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for snowflake intern in Philadelphia, PA is $17.19, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $19.42 per hour, depending on experience, location, and employer.

What does a Snowflake intern do?

A Snowflake Intern typically works on projects related to data warehousing, cloud computing, and software engineering using the Snowflake platform. Interns may assist with building data pipelines, optimizing queries, or developing new features under the guidance of experienced engineers. The internship provides hands-on experience with real-world data challenges and exposure to modern cloud technologies. Interns are encouraged to learn, collaborate, and contribute to the team’s goals while gaining insights into the industry.

What types of projects can a Snowflake intern expect to work on, and how do these projects support professional development?

As a Snowflake Intern, you can expect to work on a variety of projects such as developing data pipelines, optimizing SQL queries, supporting data migration efforts, and assisting with cloud data warehouse integrations. These projects are typically designed to provide hands-on experience with Snowflake's platform and related cloud technologies, allowing interns to build practical technical skills. You'll often collaborate with experienced engineers and data analysts, gaining insight into real-world data engineering workflows and best practices. This exposure not only enhances your technical toolkit but also helps you understand the collaborative dynamics of data teams, positioning you well for future roles in data engineering or analytics.

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

To thrive as a Snowflake Intern, you should have a solid understanding of SQL, data warehousing concepts, and programming languages such as Python or Java, often supported by ongoing coursework in computer science or a related field. Familiarity with the Snowflake platform, cloud services like AWS or Azure, and data analytics tools is highly beneficial. Strong problem-solving, attention to detail, and effective communication skills help you collaborate and learn quickly in a team environment. These competencies are vital to contribute meaningfully to projects and adapt to the fast-paced, data-driven work at Snowflake.

What is the difference between Snowflake Intern vs Snowflake Developer?

AspectSnowflake InternSnowflake Developer
Required CredentialsBasic understanding of cloud data platforms, possibly some coursework or certificationsProficiency in SQL, data warehousing, and Snowflake-specific features, often with relevant certifications
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time role, development-focused, responsible for building and maintaining Snowflake data solutions
Employer & Industry UsageInternships in tech companies, data teams, or consulting firmsData engineering teams across various industries using Snowflake for data management

The main difference between a Snowflake Intern and a Snowflake Developer lies in experience, responsibilities, and skill level. Interns are typically in learning roles with entry-level tasks, while developers are responsible for designing and implementing Snowflake data solutions, requiring more expertise and certifications.

Does Snowflake have internships?

Yes, Snowflake offers internships for students and recent graduates interested in data warehousing, cloud computing, and software development. These internships typically provide hands-on experience with Snowflake's platform and may require relevant skills or coursework. Internships are usually posted on the company's careers page and have specific application deadlines.

What are the most commonly searched types of Snowflake jobs in Philadelphia, PA?

The most popular types of Snowflake jobs in Philadelphia, PA are:

What are popular job titles related to Snowflake Intern jobs in Philadelphia, PA?

For Snowflake Intern jobs in Philadelphia, PA, the most frequently searched job titles are:

What cities near Philadelphia, PA are hiring for Snowflake Intern jobs?

Cities near Philadelphia, PA with the most Snowflake Intern job openings:

Infographic showing various Snowflake Intern job openings in Philadelphia, PA as of August 2026, with employment types broken down into 17% Internship, 1% As Needed, 51% Full Time, 27% Part Time, 2% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $35,758 per year, or $17.2 per hour.

Data Science Intern

Athenago

Wilmington, DE

Part-time

Re-posted 29 days ago


Job description

At Athena, we empower possibility through transformative delegation. True leaders reflect on what they want and map the path to get there. We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ongoing support throughout the journey. The result: 10x more leverage, more time, and a greater impact.

We are on a mission to build the best delegation platform in the world, leveraging Human+AI to provide superior experiences for delegating complex tasks.

Role Overview

The Data Science Intern will help us to understand the performance of Executive Partners (XPs) and build advanced matching models to evaluate Athena's Executive Partners (XPs) and clients, delivering tailored recommendations based on robust data insights. You will actively contribute to enhancing our delegation platform by leveraging predictive modeling, data analytics, and optimization techniques.

Responsibilities
  • Build and refine matching models to evaluate Athena's Executive Partners (XPs) and clients, ensuring optimal pairings between them based on data insights.

  • Analyze large and diverse datasets (e.g. client requirements, XP performance metrics) to uncover trends and generate actionable recommendations.

  • Collaborate closely with data science, product, and engineering teams to integrate models into production systems.

  • Present findings through clear reports, visualizations, or dashboards that inform business decisions and improve the client-XP matching process.

  • Support continuous model optimization and validation efforts.

Qualifications
  • Currently pursuing a graduate degree or senior undergraduate status in Data Science, Computer Science, Statistics, or related fields.

  • Proficiency in programming languages and data tools such as Python (with libraries like pandas, scikit-learn) and SQL for data manipulation.

  • Strong foundation in statistics and machine learning concepts (regression, classification, clustering) and familiarity with building predictive models.

  • Experience working with datasets - cleaning data, feature engineering, and using data visualization tools to present insights.

  • Excellent problem-solving abilities and attention to detail, with the ability to interpret data to make logical recommendations.

Preferred Qualifications
  • Familiarity with machine learning frameworks or libraries (e.g. TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models.

  • Prior exposure to recommendation algorithms or matching systems through coursework or projects.

  • Familiarity with cloud platforms (AWS, GCP) and big data technologies (e.g., Spark, S3, Snowflake).

  • Previous internship or project experience demonstrating practical data science applications.

  • Understanding of human resource or matchmaking domains (e.g. matching candidates to roles or services to clients) is a plus.

Benefits
  • Mentorship & Training: You will receive guidance from experienced data scientists and engineers. Expect one-on-one mentorship, regular feedback, and access to learning resources to accelerate your growth.

  • Hands-On Experience: Work on real-world projects that have direct impact on Athena's services. You'll have ownership of meaningful tasks and contribute code to production-level systems, building your portfolio.

  • Inclusive Culture: Experience Athena's collaborative and inclusive culture firsthand. Interns participate in team meetings, social events, and all company perks - you'll be treated as an equal team member throughout your internship.

  • Path to Opportunities: A successful internship can pave the way to future roles at Athena.com. Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.