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Intern D3 Js Jobs (NOW HIRING)

Role Overview We are looking for a curious and motivated Data & Systems Developer Intern to join ... Exposure to data visualization tools or libraries (D3, Chart.js, etc.) * Basic familiarity with ...

Intern D3 Js information

What are the roles and responsibilities of an intern D3 js?

An Intern D3 Js typically assists with creating interactive data visualizations using the D3.js JavaScript library. Their responsibilities often include working with datasets, developing charts and graphs, collaborating with developers or data scientists, and learning how to implement dynamic visual elements for web applications. Interns may also help with debugging, optimizing existing visualizations, and staying updated with new features in D3.js. This internship provides hands-on experience in both front-end development and data visualization best practices.

What skills and qualifications are needed to thrive as an intern D3 js?

To excel as a D3.js Intern, you generally need a foundational understanding of JavaScript, data visualization concepts, and web development basics, often supported by relevant coursework or academic projects. Familiarity with D3.js library, version control tools like Git, and basic knowledge of HTML/CSS are typically required. Strong problem-solving skills, attention to detail, and effective communication help interns collaborate and translate data into meaningful visuals. These skills enable the intern to create interactive, insightful visualizations that support data-driven decision-making within a team environment.

What types of projects can an intern D3 js expect to work on?

As an Intern D3 Js, you will typically work on data visualization projects such as interactive charts, dashboards, or infographics using D3.js and JavaScript. These projects often involve collaborating with data analysts or UX designers to transform complex datasets into clear, engaging visual representations. This hands-on experience is valuable for building both technical skills in front-end development and practical understanding of data communication. Additionally, interns often receive mentorship from senior developers, which helps accelerate learning and prepares them for more advanced roles in web development or data visualization.

What is the difference between Intern D3 Js vs Data Visualization Intern?

AspectIntern D3 JsData Visualization Intern
Required SkillsProficiency in D3.js, JavaScript, HTML/CSSKnowledge of data visualization tools, including D3.js, Tableau, or Power BI
Work EnvironmentWeb development projects, front-end designData analysis, dashboard creation, reporting
Industry UsageTech, marketing, media companies focusing on interactive visualsResearch institutions, business analytics, consulting firms

Intern D3 Js roles focus specifically on creating interactive data visualizations using D3.js, often within web development teams. Data Visualization Interns may work with various tools, including D3.js, but also broader platforms like Tableau or Power BI, emphasizing data analysis and reporting. While both roles involve data visualization, Intern D3 Js positions are more specialized in front-end development with JavaScript, whereas Data Visualization Intern roles are broader, covering multiple tools and data presentation methods.

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Infographic showing various Intern D3 Js job openings in the United States as of August 2026, with employment types broken down into 22% Internship, 1% As Needed, 48% Full Time, 27% Part Time, 1% Temporary, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution.

Data & Systems Developer Intern

KPF

New York, NY • On-site

$22 - $25/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 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.