1

Internship Snowflake Jobs in Delaware (NOW HIRING)

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.

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.

At least 4 years of experience in application development (Internship experience does not apply ... Snowflake) * 4+ years of experience with UNIX/Linux including basic commands and shell scripting ...

Lead Data Engineer

Wilmington, DE

$111K - $133K/yr

At least 4 years of experience in application development (Internship experience does not apply ... Snowflake) * 4+ years of experience with UNIX/Linux including basic commands and shell scripting ...

Lead Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

At least 4 years of experience in application development (Internship experience does not apply ... Snowflake) * 4+ years of experience with UNIX/Linux including basic commands and shell scripting ...

Lead Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

At least 4 years of experience in application development (Internship experience does not apply ... Snowflake) * 4+ years of experience with UNIX/Linux including basic commands and shell scripting ...

Lead Data Engineer

Wilmington, DE

$111K - $133K/yr

At least 4 years of experience in application development (Internship experience does not apply ... Snowflake) * 4+ years of experience with UNIX/Linux including basic commands and shell scripting ...

Internship Snowflake information

See Delaware salary details

$8

$15

$22

How much do internship snowflake jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for internship snowflake in Delaware is $15.46, according to ZipRecruiter salary data. Most workers in this role earn between $13.41 and $17.64 per hour, depending on experience, location, and employer.

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

To thrive as an Intern at Snowflake, you generally need a solid foundation in computer science principles, programming skills (such as SQL, Python, or Java), and pursuit of a relevant degree like Computer Science or Engineering. Familiarity with cloud computing platforms, data warehousing concepts, and tools like Git and Snowflake’s own data platform is often expected. Strong problem-solving abilities, eagerness to learn, and effective communication set standout interns apart. These skills and qualities are crucial for contributing to innovative projects, collaborating with teams, and gaining the most from the hands-on learning experience.

What is an internship at Snowflake?

An Internship at Snowflake is a temporary position designed for students or recent graduates to gain hands-on experience in cloud data platform technologies. Interns work on real projects alongside experienced professionals, contributing to various teams such as engineering, product management, or sales. The internship provides valuable industry exposure, mentorship, and networking opportunities, often serving as a pathway to full-time employment.

What is the difference between Internship Snowflake vs Data Engineer Intern?

AspectInternship SnowflakeData Engineer Intern
Required CredentialsBasic SQL, Cloud platform familiaritySQL, programming skills, cloud knowledge
Work EnvironmentData warehousing, cloud-based platformsData pipelines, database management
Employer & Industry UsageTech companies, data-driven organizationsTech firms, analytics companies
Common Search & Comparison IntentUnderstanding Snowflake-specific rolesData infrastructure roles

Internship Snowflake focuses on roles involving Snowflake data warehousing technology, emphasizing cloud-based data storage and SQL skills. Data Engineer Interns typically work on building data pipelines, managing databases, and integrating various data sources. While both roles require SQL knowledge, Snowflake internships are more specialized in cloud data warehousing, whereas Data Engineer Internships cover broader data infrastructure tasks.

What types of projects do interns typically work on during a Snowflake internship?

During a Snowflake internship, interns are usually assigned to real-world projects that directly impact the company's products and services. These projects often involve collaborating with full-time engineers on tasks such as building new features, improving data pipeline efficiency, or contributing to open-source components. Interns are encouraged to participate in team meetings, code reviews, and brainstorming sessions, providing valuable learning opportunities and exposure to industry best practices. This hands-on experience helps interns develop technical skills and gain insight into the collaborative work environment at Snowflake.
What are the most commonly searched types of Snowflake jobs in Delaware? The most popular types of Snowflake jobs in Delaware are:
What are popular job titles related to Internship Snowflake jobs in Delaware? For Internship Snowflake jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Internship Snowflake jobs in Delaware look for? The top searched job categories for Internship Snowflake jobs in Delaware are:
What cities in Delaware are hiring for Internship Snowflake jobs? Cities in Delaware with the most Internship Snowflake job openings:
Infographic showing various Internship Snowflake job openings in Delaware as of August 2026, with employment types broken down into 10% Internship, 69% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $32,157 per year, or $15.5 per hour.

Part-time

Re-posted yesterday


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.