Data & Systems Developer Intern

Kohn Pedersen Fox; New York (NY); On-site; USD 63,370,000 - 71,635,000; Part time

Benefits offered by this job

Health insurance

401k with company matching

Paid time off

Job summary

KPF is seeking a Data & Systems Developer Intern to join our technology team for a summer or semester engagement in New York. You will write real code, build data pipelines, consume APIs, and create lightweight internal tools alongside our AI Systems Engineer.

This is a hands-on internship where you’ll work with SQL, Python, Flask or FastAPI, and cloud basics on AWS, with opportunities to contribute to production data workflows and AI pipelines.

Qualifications

• Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Information Systems, Data Science, or a related field.
• Basic to intermediate Python and SQL skills with ability to write scripts and small programs.
• Familiarity with REST APIs and Git for collaboration on a shared codebase.

Responsibilities

• Assist in building data pipelines and ETL/ELT processes.
• Develop lightweight Python scripts and API integrations.
• Contribute to internal web apps and dashboards using Flask or FastAPI.
• Work with AWS services and containerization (Docker) basics.

Skills

Python

SQL

REST APIs

Git

Education

Bachelor’s or Master’s program in Computer Science / Information Systems / Data Science

Tools

Flask

FastAPI

AWS

Docker

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.

KPF is an equal opportunity employer.