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Data Engineering Internship Jobs in New York (NOW HIRING)

talentpluto

Full Stack Engineering Intern

New York, NY · On-site

$35 - $50/hr

The Opportunity This is a full stack engineering internship where the work ships to production. You ... Work with APIs, data models, and databases, and extend them as features require. * Take features ...

IBM

Data Engineer Intern 2027

Bronx, NY

... internships, personal/academic projects, hackathons, and/or publications. * General familiarity with databases, data-engineering tools (SQL, Spark)and cloud platforms (e.g., IBM Cloud, Azure, AWS)

talentpluto

Full Stack Engineering Intern

New York, NY · On-site

$35 - $50/hr

The Opportunity This is a full stack engineering internship where the work ships to production. You ... Work with APIs, data models, and databases, and extend them as features require. * Take features ...

IBM

Data Engineer Intern 2027

Bronx, NY · On-site

... internships, personal/academic projects, hackathons, and/or publications. * General familiarity with databases, data-engineering tools (SQL, Spark)and cloud platforms (e.g., IBM Cloud, Azure, AWS)

DataDog

Software Engineering Intern (Winter)

Manhattan, NY · On-site

$100K - $110K/yr

Interns contribute directly to real-world engineering challenges across backend, frontend, infrastructure, data engineering, and developer tooling while working alongside experienced engineers and ...

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All JobsData Engineering JobsData Engineering Internship JobsData Engineering Internship Jobs in New York

Data Engineering Internship information

See New York salary details

$12

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$32

How much do data engineering internship jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data engineering internship in New York is $21.13, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $22.88 per hour, depending on experience, location, and employer.

What is a data engineering internship?

A Data Engineering Internship is a temporary position designed for students or recent graduates to gain practical experience in building, managing, and optimizing data pipelines and infrastructure. Interns typically work alongside professional data engineers to learn about data extraction, transformation, and loading (ETL) processes, database management, and data warehousing. This role provides hands-on exposure to tools like SQL, Python, and cloud platforms, helping interns develop essential technical skills for a career in data engineering. Interns may also assist in improving data quality and supporting analytics initiatives within a company.

What types of projects or tasks can I expect to work on during a data engineering internship?

As a Data Engineering Intern, you can expect to work on a variety of tasks such as building data pipelines, cleaning and transforming raw data, and assisting in the integration of data from multiple sources. You may also support the team in optimizing database performance and ensuring data quality. Interns often collaborate with data scientists, analysts, and software engineers, gaining exposure to different tools and technologies like SQL, Python, and cloud platforms. These experiences provide a strong foundation for a future career in data engineering.

What are the key skills and qualifications needed to thrive as a data engineering intern?

To thrive as a Data Engineering Intern, you need a solid grasp of programming (especially Python or Java), databases (SQL/NoSQL), and data structures, often demonstrated by coursework or relevant projects. Familiarity with data processing tools like Apache Spark, ETL pipelines, and cloud platforms such as AWS or Google Cloud is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication help interns excel in collaborative and fast-paced environments. These skills are crucial for building reliable data pipelines and supporting data-driven decision-making within organizations.

What is the difference between Data Engineering Internship vs Data Analyst Internship?

AspectData Engineering InternshipData Analyst Internship
Required SkillsSQL, Python, ETL, cloud platformsExcel, SQL, data visualization tools
Work EnvironmentData pipelines, backend systems, cloud infrastructureData reporting, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Data Engineering Internships focus on building and maintaining data pipelines and infrastructure, requiring technical skills like SQL and Python. Data Analyst Internships emphasize analyzing data to generate insights, often using Excel and visualization tools. Both roles are common in tech-driven industries but serve different functions within data teams.

What are the most commonly searched types of Data Engineering jobs in New York?

The most popular types of Data Engineering jobs in New York are:

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

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

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

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

What cities in New York are hiring for Data Engineering Internship jobs?

Cities in New York with the most Data Engineering Internship job openings:

Data Engineering Internship jobs near you
Infographic showing various Data Engineering Internship job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $43,952 per year, or $21.1 per hour.

Full Stack Engineering Intern

talentpluto

New York, NY • On-site

$35 - $50/hr

Full-time

Posted 8 days ago

Job description

Location: New York, NY

Work Model: Onsite (in-person)

Industry: AI recruiting and talent marketplace (B2B SaaS)

Compensation: $35-$50 per hour

About the Company

TalentPluto is a Y Combinator-backed startup building the hiring stack for high-growth companies. We run two connected products: a talent network that places engineering, go-to-market, and operations people into fast-moving startups, and an AI recruiting tool that lets a hiring team run candidate search, tiered enrichment, rubric-based scoring, and outbound campaigns directly from their assistant. We work with dozens of venture-backed startups across AI, developer tools, fintech, and healthcare. The team is small and founder-led, and interns work on live problems rather than practice ones.

The Opportunity

This is a full stack engineering internship where the work ships to production. You will build user-facing features across the frontend and the services behind them, on a product used daily by both the companies hiring and the candidates in our network. Because the team is small, you will own features rather than tickets: you take a problem from a rough description, decide how it should work, build it, and watch real people use it.

The surface is unusually broad for an internship. We sit at the intersection of AI, recruiting, and labor markets, so the same week can include a React interface, the API and data model behind it, and an AI-driven workflow that has to be reliable enough for someone to trust its output. You do not need to have done all of that before, but you should want to.

Responsibilities
  • Build and ship user-facing features across the frontend and the backend services supporting them.
  • Work with APIs, data models, and databases, and extend them as features require.
  • Take features from a rough problem statement through design, implementation, and release.
  • Write code that other engineers can read and extend, and review theirs.
  • Investigate bugs and performance issues in production and fix the underlying cause.
Requirements
  • Strong JavaScript or TypeScript fundamentals.
  • Experience building with React, Next.js, or similar frontend frameworks.
  • Comfort learning backend systems, APIs, and databases.
  • Has shipped meaningful work before, whether side projects, class projects, open-source contributions, or a prior internship.
  • Strong problem-solving ability and a willingness to learn quickly.
  • Clear communicator who can work independently.
  • Based in New York City and able to work onsite.

Apply