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Internship Snowflake Jobs in New York (NOW HIRING)

Spectrum Vascular

IT Internship

Warren, NJ · On-site

$15.50 - $20.75/hr

This is for an initial three-month internship and the successful individual should have a degree in ... Snowflake. This may include coding, debugging, troubleshooting, and deploying code. * Provide ...

New

Spectrum Vascular

IT Internship

Warren, NJ

$15.50 - $20.75/hr

This is for an initial three-month internship and the successful individual should have a degree in ... Snowflake. This may include coding, debugging, troubleshooting, and deploying code. * Provide ...

New

Spectrum Vascular

IT Internship

Warren, NJ · On-site

$15.50 - $20.75/hr

This is for an initial three-month internship and the successful individual should have a degree in ... Snowflake. This may include coding, debugging, troubleshooting, and deploying code. * Provide ...

New

Armaninollp

Data & AI Platform Engineer

Garden City, NY · On-site

$117K - $141K/yr

... internships/co-ops count). * Minimum 1 year of representative accounting experience whether ... Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or Tableau * CI ...

Armaninollp

Data & AI Platform Engineer

New York, NY · On-site

$125K - $150K/yr

... internships/co-ops count). * Minimum 1 year of representative accounting experience whether ... Snowflake (preferred) or Microsoft Fabric or Databricks * A BI platform: Power BI or Tableau * CI ...

Outfront Media

AI Automation Engineer

New York, NY · On-site

Internships count toward the floor if the work was real and the systems shipped. * Strong software ... Snowflake, Sigma, or modern analytics stack exposure. * Experience in advertising technology ...

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How much do internship snowflake jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for internship snowflake in New York is $18.72, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $21.35 per hour, depending on experience, location, and employer.

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 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 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 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 are the most commonly searched types of Snowflake jobs in New York?

The most popular types of Snowflake jobs in New York are:

What are popular job titles related to Internship Snowflake jobs in New York?

For Internship Snowflake jobs in New York, the most frequently searched job titles are:

What job categories do people searching Internship Snowflake jobs in New York look for?

The top searched job categories for Internship Snowflake jobs in New York are:

What cities in New York are hiring for Internship Snowflake jobs?

Cities in New York with the most Internship Snowflake job openings:

Internship Snowflake jobs near you
Infographic showing various Internship Snowflake job openings in New York as of August 2026, with employment types broken down into 10% Internship, 65% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $38,939 per year, or $18.7 per hour.

Data Engineering Internship (Summer 2027)

Castleton Commodities International LLC

Stamford, CT • On-site

$122K - $146K/yr

Full-time

Re-posted 16 days ago

Job description

Application Deadline: September 1, 11:59 pm EST

Program Summary - Data Science & Technology Internship

Company Overview:

Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation.

Position Overview:

CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Data Engineering Interns to join our Global Data Science & Technology team in Houston, TX, Stamford, CT, & New York City offices. The Data Engineering Intern will work closely with our Data Science, Data Engineering and Commercial teams to build and optimize data pipelines that power our analytics, forecasting, and investment decision-making processes. This is a hands-on technical internship ideal for someone who enjoys solving real-world data challenges, especially around ingesting, scraping, and managing large datasets across the commodity markets.

Responsibilities:

  • Develop and maintain robust data ingestion pipelines from various internal and external sources, including APIs, FTP endpoints, and cloud data providers.
  • Develop data ingestion and transformation pipelines using Python and SQL, publishing Snowflake for downstream use in analytics and forecasting tools.
  • Work on data architecture and data management projects for both new and existing data sources.
  • Design and implement ETL processes to clean, normalize, and store structured and semi-structured data in Snowflake, our core relational data warehouse.
  • Analyze data pipeline performance and implement optimizations to improve efficiency and reliability.
  • Conduct data quality checks and build validation logic to identify anomalies and ensure data integrity for use by commercial trading and analytics teams.
  • Automate data workflows using Python, SQL, and orchestration tools (e.g., Airflow or similar).
  • Assist in transitioning legacy datasets and codebases into scalable, cloud-native workflows aligned with our modern data architecture.
  • Document data sources, pipeline logic, and data models to ensure maintainability and knowledge transfer.

Qualifications:

  • Currently pursuing a Bachelor's or higher degree in Computer Science, Engineering, Management Information Systems, or related technical field.
  • Expected graduation date of Winter 2027 or Spring/Summer 2028.
  • Strong programming experience in Python (preferred libraries: pandas, NumPy, SQL alchemy, etc.).
  • Strong understanding of SQL and experience querying relational databases (Snowflake a plus).
  • Exposure to or interest in cloud platforms (e.g., AWS, Azure), particularly with cloud data storage and compute.
  • Familiarity with web scraping frameworks and handling large-scale structured and unstructured data sources.

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