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Data Engineering Intern Jobs in Harrison, NJ (NOW HIRING)

KPF

Data & Systems Developer Intern

New York, NY · On-site

$22 - $25/hr

Role Overview We are looking for a curious and motivated Data & Systems Developer Intern to join ... This is a role where you'll build real, marketable AI and data engineering skills on the job. What ...

Ameresco

Project Engineering Intern

New York, NY · On-site

Ameresco currently has an opportunity for a Project Engineering Intern to join our team in support ... Proven ability to gather, validate, and analyze quantitative data and information * Advanced ...

Auctor AI

Software Engineering Intern

New York, NY · On-site

$80/hr

Solid programming foundations (data structures, algorithms, networking basics) * Proficiency in Python and TypeScript (or a strong desire to learn) * Curiosity about LLMs, vector databases, and ...

Allium

Engineering Intern - General / AI

New York, NY · On-site

$18.25 - $23.75/hr

Immutability leads to exponential data + query infrastructure complexity * Neutrality means that no ... You'll work closely with our founding engineering team to accelerate Allium's AI efforts to make ...

Aivra Health LLC

Software Developer Intern

Manhattan, NY · On-site

$21.25 - $27.75/hr

Pursuing a Bachelor''s or Master''s degree in Computer Science, Software Engineering, Information ... Familiarity with Data Structures & Algorithms. * Basic knowledge of databases (SQL/MySQL/PostgreSQL ...

Melotech

AI/ML Engineer Intern

New York, NY · On-site

$18.25 - $23.75/hr

Collaborating with data science teams to transition research models into production-ready systems ... Hands-on ML engineering experience building production systems at Big Tech companies, high-growth ...

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Showing results 21-40

All JobsData Engineering Intern JobsData Engineering Intern Jobs in Harrison, NJ

Data Engineering Intern information

See Harrison, NJ salary details

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How much do data engineering intern jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for data engineering intern in Harrison, NJ is $20.23, according to ZipRecruiter salary data. Most workers in this role earn between $16.88 and $21.92 per hour, depending on experience, location, and employer.

What types of projects and technologies can a data engineering intern expect to work with during their internship?

As a Data Engineering Intern, you’ll typically work on projects involving data pipeline development, data cleaning, and integration of data from various sources. You can expect to use technologies like SQL, Python, and tools such as Apache Spark, Hadoop, or cloud platforms like AWS or Google Cloud. Interns often collaborate closely with data engineers, analysts, and sometimes data scientists to ensure data is accessible, reliable, and well-organized for analysis. This hands-on experience helps you build foundational skills and understand real-world data workflows within a collaborative team environment.

What does a data engineering intern do?

A Data Engineering Intern assists in building and maintaining the systems and infrastructure that allow organizations to collect, store, and analyze large volumes of data. Their responsibilities often include cleaning and organizing raw data, developing data pipelines, and supporting the work of data engineers and data scientists. Interns may also work with tools like SQL, Python, and cloud platforms to automate data workflows. This role provides hands-on experience in managing data processes and understanding the fundamentals of data engineering in a real-world environment.

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

AspectData Engineering InternData Analyst Intern
Required SkillsBasic SQL, programming (Python, Java), understanding of data pipelinesData visualization, SQL, statistical analysis
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness intelligence teams, reporting tools, dashboards
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, retail, business sectors

While both roles involve working with data, a Data Engineering Intern focuses on building and maintaining data pipelines and infrastructure, whereas a Data Analyst Intern analyzes data to generate insights and reports. The roles share some technical skills like SQL but differ in their core responsibilities and work environments.

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

To thrive as a Data Engineering Intern, you need foundational knowledge in programming (especially Python or Java), databases, and data structures, often obtained through coursework in computer science or related fields. Familiarity with SQL, cloud platforms (like AWS or Azure), and data pipeline tools such as Apache Spark or Airflow is typically required. Strong problem-solving skills, attention to detail, and effective communication set exceptional interns apart. These skills and qualities are crucial for efficiently handling data workflows, collaborating with teams, and contributing to high-quality data solutions.
What cities near Harrison, NJ are hiring for Data Engineering Intern jobs? Cities near Harrison, NJ with the most Data Engineering Intern job openings:
Data Engineering Intern jobs near you
Infographic showing various Data Engineering Intern job openings in Harrison, NJ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $42,078 per year, or $20.2 per hour.

Data & Systems Developer Intern

KPF

New York, NY • On-site

$22 - $25/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Job description

KPF is a global architecture and urban design firm known for its innovative approach to the built environment. We are committed to integrating cutting-edge technology into our design process, and we are building an internal data and systems capability to enhance how we work, collaborate, and deliver world-class architecture.
Role Overview
We are looking for a curious and motivated Data & Systems Developer Intern to join our technology team for a summer or semester engagement. In this role, you will get hands-on experience building data pipelines, working with APIs, developing lightweight internal tools, and supporting the infrastructure that powers KPF's AI systems.
You will work closely with our AI Systems Engineer and Junior Data & Systems Developer, contributing to real projects from day one. This is not a passive internship - you will write real code, work with real data, and build things that are actually used.
You will gain hands-on exposure to AI systems, including large language models, retrieval-augmented generation, vector databases, and agentic tools through direct collaboration with our team. This is a role where you'll build real, marketable AI and data engineering skills on the job.
What You'll Work On
Data Pipelines & Data Management
  • Assist in building and maintaining ETL/ELT data pipelines to collect, transform, and load data from internal and external sources
  • Help clean, validate, and structure data to ensure quality and consistency across systems
  • Write SQL queries to extract, transform, and report on data from relational databases (MSSQL, PostgreSQL, MySQL, or similar)
  • Help document data flows, schemas, and pipeline logic

API Integration
  • Connect to and consume REST APIs to pull and process data
  • Assist in building lightweight Python scripts and integrations to automate data collection workflows
  • Learn to handle authentication, pagination, rate limiting, and error handling in API integrations

Web Development & Internal Tools
  • Contribute to simple internal web applications and dashboards built with Flask or FastAPI
  • Help build basic frontend interfaces (HTML/CSS/JavaScript) to expose data and tools to internal users
  • Collaborate with team members to understand needs and iterate on practical solutions

Cloud & Infrastructure Basics
  • Get hands-on experience deploying on AWS using core services such as EC2, S3, and RDS
  • Learn to containerize applications using Docker
  • Follow best practices for environment configuration and basic security

AI Systems Exposure (Learning Opportunity)
  • Assist in preparing and structuring data for ingestion into AI and LLM pipelines (e.g., document chunking, metadata tagging, embedding-ready formatting)
  • Help maintain vector store data ingestion workflows (uploading documents, refreshing indexes)
  • Support the team with data tasks related to RAG (Retrieval-Augmented Generation) systems
  • Gain exposure to knowledge bases and structured data sources that feed conversational AI tools
  • Assist with testing and validating data quality within AI-powered applications

What We're Looking For
Must-Have
  • Python - basic to intermediate proficiency; comfortable writing scripts and small programs
  • SQL - ability to write queries; some experience with relational databases
  • REST APIs - basic understanding of how APIs work; some experience consuming them
  • Git - basic version control; comfortable committing and collaborating on a shared codebase
  • Currently enrolled in a Bachelor's or Master's program in Computer Science, Information Systems, Data Science, or a related field

Nice-to-Have
  • Any exposure to Flask or FastAPI - even a course project counts
  • Basic familiarity with AWS or any cloud platform
  • Some experience with Docker or containerization concepts
  • Exposure to data visualization tools or libraries (D3, Chart.js, etc.)
  • Basic familiarity with LLMs and AI concepts (embeddings, vector search, RAG)
  • Experience with AI coding tools like Claude Code, Cursor, or GitHub Copilot
  • Interest or background in AEC (Architecture, Engineering & Construction) or creative industries

What We're Looking For in a Candidate
  • Genuinely curious and self-motivated - you explore things on your own and enjoy figuring things out
  • Not afraid to ask questions - we'd rather you ask than guess
  • Comfortable in a small, collaborative team where everyone's contribution matters
  • Detail-oriented - you care about getting things right, not just getting them done
  • Able to communicate clearly with team members, including non-technical colleagues
  • A builder mindset - you get excited about creating things that solve real problems

Pay Range:
$22.00 - $25.00 Hourly
Why KPF?
KPF's mission is to elevate cities through impactful design, collaborating closely with the world's most forward-thinking clients to create high performing, carefully crafted buildings that are unique to their physical, social, and environmental contexts.
  • Career Growth: Opportunities for training, development, and career progression.
  • Company Culture: Collaborative, high-performance environment with a focus on innovation and excellence.
  • Benefits: Comprehensive health insurance, including medical, dental, and vision insurance, 401k with company matching contributions, paid time off and other perks.

To Apply:
Applications submitted without a resume will not be considered.
KPF is an equal opportunity employer.

Apply