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Internship Snowflake Jobs in Edison, NJ (NOW HIRING)

In this co-op/internship, you'll learn about empowering analytics with AI - a full stack experience ... Our data stack consists of modern data tools like Snowflake, dbt, Airflow, AWS along with Streamlit ...

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 ...

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 ...

BI Intern

Newark, NJ · On-site

$16.50 - $20.75/hr

Top-performing interns may have the opportunity to transition into a full-time role and continue ... Familiarity with SQL, Snowflake, BigQuery, or data warehouse concepts is a plus * Experience with ...

BI Intern

Newark, NJ · Remote

$16.50 - $20.75/hr

Top-performing interns may have the opportunity to transition into a full-time role and continue ... Familiarity with SQL, Snowflake, BigQuery, or data warehouse concepts is a plus * Experience with ...

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

New York, NY

$125K - $150K/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 (Bank Tech)

New York, NY · On-site

$112K - $147K/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 ...

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Internship Snowflake information

See Edison, NJ salary details

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How much do internship snowflake jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for internship snowflake in Edison, NJ is $17.92, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $19.90 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 Edison, NJ? The most popular types of Snowflake jobs in Edison, NJ are:
What are popular job titles related to Internship Snowflake jobs in Edison, NJ? For Internship Snowflake jobs in Edison, NJ, the most frequently searched job titles are:
What cities near Edison, NJ are hiring for Internship Snowflake jobs? Cities near Edison, NJ with the most Internship Snowflake job openings:
Infographic showing various Internship Snowflake job openings in Edison, NJ as of July 2026, with employment types broken down into 2% Internship, 74% Full Time, 20% Part Time, 2% Temporary, and 2% Contract. Highlights an 86% Physical, 1% Hybrid, and 13% Remote job distribution, with an average salary of $37,264 per year, or $17.9 per hour.
Data AI Co Op / Internship

Data AI Co Op / Internship

BrainPOP

New York, NY

$25/hr

Other

Posted 9 days ago


Job description

About the Role

BrainPOP's Data team works across enterprise analytics initiatives to empower the business every day with the latest and greatest data assets. We partner with Finance, GTM, Product and all other parts of business to understand their challenges and provide them with actionable data-driven insights. We pair traditional analytics, designed experimentation and dashboard reporting with AI-driven approaches, like creating semantic models to help business self-serve with real-time insights, Cortex AI-based data science models to predict churn, and python applications to drive movie content analytics.

In this co-op/internship, you'll learn about empowering analytics with AI - a full stack experience that will span across analytics, experimentation, reporting, data modeling within analytics-engineering along with strong focus on AI based capabilities. 

We are looking for someone who has the curiosity to use the latest and greatest technologies plus AI as an impact-accelerator across the enterprise. This role is a great fit for someone who thrives in a dynamic and agile environment and can move with an experimental mindset to work with the Data team & business stakeholders in Marketing, Product, Finance and GTM. 

You will get exposure to the systems, tools and AI pipelines we use to optimize our business along with the opportunity to work with real world business problems. Our data stack consists of modern data tools like Snowflake, dbt, Airflow, AWS along with Streamlit, python that we use for experimentations, AI platforms like CortexAI, NotionAI, Tableau on the BI side, Salesforce as our CRM.

Details

The opportunity will be from September (7 or 14)  through December 18, 2026, Monday to Friday from 9:00 am to 5:30 pm Eastern (40 hours weekly, 8 hours daily with 30 minutes lunch).

We are a hybrid workplace, and a candidate within commutable distance of our NYC office (Flatiron area) who is available to spend Wednesdays in the office is strongly preferred.

The pay rate is $25/hour. Please note: BrainPOP does not offer relocation, housing or travel assistance.

In This Role, You Will 

Enhance analytics, experimentation and BI capability for business

  • Produce ad-hoc analysis from Snowflake (our Data Warehouse) or other in-house telemetry systems as required for Marketing, Product, Finance and GTM with focus on
    • Data modeling & validation as required for Tableau dashboards, along with deployment of dashboards as needed
    • Translating Tableau workflows into Streamlit apps as required for experimentation
    • Analysis of teacher segmentation & usage patterns within our products
  • Monitor key performance indicators (KPIs) related to user engagement, product usage, and revenue metrics. Identify areas for improvement and optimization and provide recommendations to enhance performance & identify trends, patterns and opportunities
  • Ensure data accuracy, consistency, and completeness across all systems

Support building AI workflows within the CortexAI semantic layer 

  • Design data models and analytic frameworks for repeatable workflows- product usage analytics, account churn, book of business renewals, customer feedback - and turn them into a reusable, invokable tool using Snowflake and dbt, modeled in the semantic layer for quick business insights through CortexAI
    • Transform raw Snowflake data into reusable data models that can be pipelined into dbt & the semantic layer
    • Help in modeling, documentation & QA for CortexAI models to support semantic view for natural language query capability
  • Write and iterate on prompt & skill structures (YAML + Markdown skill files) based on output quality and stakeholder feedback
  • Evaluate model outputs rigorously and enable business to produce analyst-quality output using semantic layer capability
On Your Resume 

Must haves

  • Pursuing a Bachelor's degree (senior preferred) or a Master's degree in Computer Science, Computer Engineering, Data Science; recent Bachelor's/Masters graduates may be considered
  • Background in analytics, data, data engineering or a tech adjacent role. We are looking for a full stack person who can span the worlds of analytics, data modeling, AI and analytics engineering. 
  • Team player; able to work independently, as well as collaboratively within the Data team and cross functionally
  • SQL, including CTEs & window functions (Snowflake experience a plus)
  • Python - comfortable writing Python for data transformation and automation
  • AI-assisted development - You have used an LLM coding assistant like Claude or equivalent to structure prompts clearly
  • Some experience in prompt engineering  - You can write a structured prompt (YAML + Markdown or equivalent) that helps others think through context, instructions, examples, and output format 
  • Some experience building dashboards or data visualizations that tell a clear business story with tools like Tableau 

Strong Plus

  • dbt - Model authoring & YAML tests in a cloud warehouse context 
  • Snowflake Cortex - Cortex Analyst, Cortex Agents, Dynamic Tables, semantic views or ability to learn quickly
  • Comfortable working in Git (PRs, branches, code review)
  • Understands stakeholder needs and can translate between the worlds of AI, data, and business to enable strategic insights
  • Understands subscription based business models
  • Basic understanding of statistics/experimental design
 Location:

The BrainPOP team operates in a hybrid work environment: Each role has remote flexibility and an in-person component at our New York headquarters or other meeting locations. Based on the requirements of a specific role, we may prioritize hiring within a commutable distance of our New York headquarters or in another region relevant to that role.

We can employ individuals residing in the following approved hiring states:

  • Arizona
  • California
  • Connecticut
  • Florida
  • Georgia
  • Illinois
  • Massachusetts
  • Minnesota
  • Missouri
  • New Jersey
  • New York
  • North Carolina
  • Ohio
  • Oregon
  • Pennsylvania
  • South Carolina
  • Tennessee
  • Texas
  • Washington

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